Financial Uncertainty, Mediocre Cyclical United States Economic Growth with GDP Two Trillion Dollars below Trend, Stagnating Real Disposable Income, Financial Repression, United States Commercial Banks, United States Housing, World Cyclical Slow Growth and Global Recession Risk: Part III

 

Financial Uncertainty, Mediocre Cyclical United States Economic Growth with GDP Two Trillion Dollars below Trend, Stagnating Real Disposable Income, Financial Repression, United States Commercial Banks, United States Housing, World Cyclical Slow Growth and Global Recession Risk

Carlos M. Pelaez

© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014

Executive Summary

I Mediocre Cyclical United States Economic Growth with GDP Two Trillion Dollars Below Trend

IA Mediocre Cyclical United States Economic Growth

IA1 Contracting Real Private Fixed Investment

IA2 Swelling Undistributed Corporate Profits

IB Stagnating Real Disposable Income and Consumption Expenditures

IB1 Stagnating Real Disposable Income and Consumption Expenditures

IB2 Financial Repression

IIA United States Commercial Banks Assets and Liabilities

IIA1 Transmission of Monetary Policy

IIB1 Functions of Banks

IIC United States Commercial Banks Assets and Liabilities

IID Theory and Reality of Economic History, Cyclical Slow Growth Not Secular Stagnation and Monetary Policy Based on Fear of Deflation

IIB United States Housing Collapse

III World Financial Turbulence

IIIA Financial Risks

IIIE Appendix Euro Zone Survival Risk

IIIF Appendix on Sovereign Bond Valuation

IV Global Inflation

V World Economic Slowdown

VA United States

VB Japan

VC China

VD Euro Area

VE Germany

VF France

VG Italy

VH United Kingdom

VI Valuation of Risk Financial Assets

VII Economic Indicators

VIII Interest Rates

IX Conclusion

References

Appendixes

Appendix I The Great Inflation

IIIB Appendix on Safe Haven Currencies

IIIC Appendix on Fiscal Compact

IIID Appendix on European Central Bank Large Scale Lender of Last Resort

IIIG Appendix on Deficit Financing of Growth and the Debt Crisis

IIIGA Monetary Policy with Deficit Financing of Economic Growth

IIIGB Adjustment during the Debt Crisis of the 1980s

II United States Commercial Banks Assets and Liabilities. Subsection IA Transmission of Monetary Policy recapitulates the mechanism of transmission of monetary policy. Subsection IB Functions of Banking analyzes the functions of banks in modern banking theory. Subsection IC United States Commercial Bank Assets and Liabilities provides data and analysis of US commercial bank balance sheets in report H.8 of the Board of Governors of the Federal Reserve System on Assets and Liabilities of Commercial Banks in the United States (http://www.federalreserve.gov/releases/h8/current/default.htm). Subsection ID Theory and Reality of Economic History, Cyclical Slow Growth Not Secular Stagnation and Monetary Policy Based on Fear of Deflation analyzes and compares unconventional monetary policy.

IA Transmission of Monetary Policy. The critical fact of current world financial markets is the combination of “unconventional” monetary policy with intermittent shocks of financial risk aversion. There are two interrelated unconventional monetary policies. First, unconventional monetary policy consists primarily of reducing short-term policy interest rates toward the “zero bound” such as fixing the fed funds rate at 0 to ¼ percent by decision of the Federal Open Market Committee (FOMC) since Dec 16, 2008 (http://www.federalreserve.gov/newsevents/press/monetary/20081216b.htm). Fixing policy rates at zero is the strongest measure of monetary policy with collateral effects of inducing carry trades from zero interest rates to exposures in risk financial assets such as commodities, exchange rates, stocks and higher yielding fixed income. Second, unconventional monetary policy also includes a battery of measures in also reducing long-term interest rates of government securities and asset-backed securities such as mortgage-backed securities.

When inflation is low, the central bank lowers interest rates to stimulate aggregate demand in the economy, which consists of consumption and investment. When inflation is subdued and unemployment high, monetary policy would lower interest rates to stimulate aggregate demand, reducing unemployment. When interest rates decline to zero, unconventional monetary policy would consist of policies such as large-scale purchases of long-term securities to lower their yields. Long-term asset-backed securities finance a major portion of credit in the economy. Loans for purchasing houses, automobiles and other consumer products are bundled in securities that in turn are sold to investors. Corporations borrow funds for investment by issuing corporate bonds. Loans to small businesses are also financed by bundling them in long-term bonds. Securities markets bridge the needs of higher returns by savers obtaining funds from investors that are channeled to consumers and business for consumption and investment. Lowering the yields of these long-term bonds could lower costs of financing purchases of consumer durables and investment by business. The essential mechanism of transmission from lower interest rates to increases in aggregate demand is portfolio rebalancing. Withdrawal of bonds in a specific maturity segment or directly in a bond category such as currently mortgage-backed securities causes reductions in yields that are equivalent to increases in the prices of the bonds. There can be secondary increases in purchases of those bonds in private portfolios in pursuit of their increasing prices. Lower yields translate into lower costs of buying homes and consumer durables such as automobiles and also lower costs of investment for business. There are two additional intended routes of transmission.

1. Unconventional monetary policy or its expectation can increase stock market valuations (Bernanke 2010WP). Increases in equities traded in stock markets can augment perceptions of the wealth of consumers inducing increases in consumption.

2. Unconventional monetary policy causes devaluation of the dollar relative to other currencies, which can cause increases in net exports of the US that increase aggregate economic activity (Yellen 2011AS).

Monetary policy can lower short-term interest rates quite effectively. Lowering long-term yields is somewhat more difficult. The critical issue is that monetary policy cannot ensure that increasing credit at low interest cost increases consumption and investment. There is a large variety of possible allocation of funds at low interest rates from consumption and investment to multiple risk financial assets. Monetary policy does not control how investors will allocate asset categories. A critical financial practice is to borrow at low short-term interest rates to invest in high-risk, leveraged financial assets. Investors may increase in their portfolios asset categories such as equities, emerging market equities, high-yield bonds, currencies, commodity futures and options and multiple other risk financial assets including structured products. If there is risk appetite, the carry trade from zero interest rates to risk financial assets will consist of short positions at short-term interest rates (or borrowing) and short dollar assets with simultaneous long positions in high-risk, leveraged financial assets such as equities, commodities and high-yield bonds. Low interest rates may induce increases in valuations of risk financial assets that may fluctuate in accordance with perceptions of risk aversion by investors and the public. During periods of muted risk aversion, carry trades from zero interest rates to exposures in risk financial assets cause temporary waves of inflation that may foster instead of preventing financial instability. During periods of risk aversion such as fears of disruption of world financial markets and the global economy resulting from events such as collapse of the European Monetary Union, carry trades are unwound with sharp deterioration of valuations of risk financial assets. More technical discussion is in IA Appendix: Transmission of Unconventional Monetary Policy.

Symmetric inflation targets are of secondary priority in favor of a self-imposed single jobs mandate of easing monetary policy even with the economy growing at or close to potential output. Monetary easing by unconventional measures, including zero interest rates and outright purchases of securities for the portfolio of the central bank, is now open ended in perpetuity, or QE → ∞, as provided in the statement of the meeting of the Federal Open Market Committee (FOMC) on Sep 13, 2012 (http://www.federalreserve.gov/newsevents/press/monetary/20120913a.htm):

“To support a stronger economic recovery and to help ensure that inflation, over time, is at the rate most consistent with its dual mandate, the Committee agreed today to increase policy accommodation by purchasing additional agency mortgage-backed securities at a pace of $40 billion per month. The Committee also will continue through the end of the year its program to extend the average maturity of its holdings of securities as announced in June, and it is maintaining its existing policy of reinvesting principal payments from its holdings of agency debt and agency mortgage-backed securities in agency mortgage-backed securities. These actions, which together will increase the Committee’s holdings of longer-term securities by about $85 billion each month through the end of the year, should put downward pressure on longer-term interest rates, support mortgage markets, and help to make broader financial conditions more accommodative.

To support continued progress toward maximum employment and price stability, the Committee expects that a highly accommodative stance of monetary policy will remain appropriate for a considerable time after the economic recovery strengthens.”

Charles Evans, President of the Federal Reserve Bank of Chicago, proposed an “economic state-contingent policy” or “7/3” approach (Evans 2012 Aug 27):

“I think the best way to provide forward guidance is by tying our policy actions to explicit measures of economic performance. There are many ways of doing this, including setting a target for the level of nominal GDP. But recognizing the difficult nature of that policy approach, I have a more modest proposal: I think the Fed should make it clear that the federal funds rate will not be increased until the unemployment rate falls below 7 percent. Knowing that rates would stay low until significant progress is made in reducing unemployment would reassure markets and the public that the Fed would not prematurely reduce its accommodation.

Based on the work I have seen, I do not expect that such policy would lead to a major problem with inflation. But I recognize that there is a chance that the models and other analysis supporting this approach could be wrong. Accordingly, I believe that the commitment to low rates should be dropped if the outlook for inflation over the medium term rises above 3 percent.

The economic conditionality in this 7/3 threshold policy would clarify our forward policy intentions greatly and provide a more meaningful guide on how long the federal funds rate will remain low. In addition, I would indicate that clear and steady progress toward stronger growth is essential.”

Evans (2012Nov27) modified the “7/3” approach to a “6.5/2.5” approach:

“I have reassessed my previous 7/3 proposal. I now think a threshold of 6-1/2 percent for the unemployment rate and an inflation safeguard of 2-1/2 percent, measured in terms of the outlook for total PCE (Personal Consumption Expenditures Price Index) inflation over the next two to three years, would be appropriate.”

The Federal Open Market Committee (FOMC) decided at its meeting on Dec 12, 2012 to implement the “6.5/2.5” approach (http://www.federalreserve.gov/newsevents/press/monetary/20121212a.htm):

“To support continued progress toward maximum employment and price stability, the Committee expects that a highly accommodative stance of monetary policy will remain appropriate for a considerable time after the asset purchase program ends and the economic recovery strengthens. In particular, the Committee decided to keep the target range for the federal funds rate at 0 to 1/4 percent and currently anticipates that this exceptionally low range for the federal funds rate will be appropriate at least as long as the unemployment rate remains above 6-1/2 percent, inflation between one and two years ahead is projected to be no more than a half percentage point above the Committee’s 2 percent longer-run goal, and longer-term inflation expectations continue to be well anchored.”

Another rising risk is division within the Federal Open Market Committee (FOMC) on risks and benefits of current policies as expressed in the minutes of the meeting held on Jan 29-30, 2013 (http://www.federalreserve.gov/monetarypolicy/files/fomcminutes20130130.pdf 13):

“However, many participants also expressed some concerns about potential costs and risks arising from further asset purchases. Several participants discussed the possible complications that additional purchases could cause for the eventual withdrawal of policy accommodation, a few mentioned the prospect of inflationary risks, and some noted that further asset purchases could foster market behavior that could undermine financial stability. Several participants noted that a very large portfolio of long-duration assets would, under certain circumstances, expose the Federal Reserve to significant capital losses when these holdings were unwound, but others pointed to offsetting factors and one noted that losses would not impede the effective operation of monetary policy.”

Jon Hilsenrath, writing on “Fed maps exit from stimulus,” on May 11, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887324744104578475273101471896.html?mod=WSJ_hp_LEFTWhatsNewsCollection), analyzes the development of strategy for unwinding quantitative easing and how it can create uncertainty in financial markets. Jon Hilsenrath and Victoria McGrane, writing on “Fed slip over how long to keep cash spigot open,” published on Feb 20, 2013 in the Wall street Journal (http://professional.wsj.com/article/SB10001424127887323511804578298121033876536.html), analyze the minutes of the Fed, comments by members of the FOMC and data showing increase in holdings of riskier debt by investors, record issuance of junk bonds, mortgage securities and corporate loans. Jon Hilsenrath, writing on “Jobs upturn isn’t enough to satisfy Fed,” on Mar 8, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324582804578348293647760204.html), finds that much stronger labor market conditions are required for the Fed to end quantitative easing. Unconventional monetary policy with zero interest rates and quantitative easing is quite difficult to unwind because of the adverse effects of raising interest rates on valuations of risk financial assets and home prices, including the very own valuation of the securities held outright in the Fed balance sheet. Gradual unwinding of 1 percent fed funds rates from Jun 2003 to Jun 2004 by seventeen consecutive increases of 25 percentage points from Jun 2004 to Jun 2006 to reach 5.25 percent caused default of subprime mortgages and adjustable-rate mortgages linked to the overnight fed funds rate. The zero interest rate has penalized liquidity and increased risks by inducing carry trades from zero interest rates to speculative positions in risk financial assets. There is no exit from zero interest rates without provoking another financial crash.

Unconventional monetary policy will remain in perpetuity, or QE→∞, changing to a “growth mandate.” There are two reasons explaining unconventional monetary policy of QE→∞: insufficiency of job creation to reduce unemployment/underemployment at current rates of job creation; and growth of GDP at around 2.3 percent, which is well below 3.0 percent estimated by Lucas (2011May) from 1870 to 2010. Unconventional monetary policy interprets the dual mandate of low inflation and maximum employment as mainly a “growth mandate” of forcing economic growth in the US at a rate that generates full employment. A hurdle to this “growth mandate” is that US economic growth has been at only 2.4 percent on average in the cyclical expansion in the 18 quarters from IVQ2009 to IVQ2013. Boskin (2010Sep) measures that the US economy grew at 6.2 percent in the first four quarters and 4.5 percent in the first 12 quarters after the trough in the second quarter of 1975; and at 7.7 percent in the first four quarters and 5.8 percent in the first 12 quarters after the trough in the first quarter of 1983 (Professor Michael J. Boskin, Summer of Discontent, Wall Street Journal, Sep 2, 2010 http://professional.wsj.com/article/SB10001424052748703882304575465462926649950.html). There are new calculations using the revision of US GDP and personal income data since 1929 by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm) and the second estimate of GDP for IVQ2013 (http://www.bea.gov/newsreleases/national/gdp/2014/pdf/gdp4q13_2nd.pdf). The average of 7.7 percent in the first four quarters of major cyclical expansions is in contrast with the rate of growth in the first four quarters of the expansion from IIIQ2009 to IIQ2010 of only 2.7 percent obtained by diving GDP of $14,738.0 billion in IIQ2010 by GDP of $14,356.9 billion in IIQ2009 {[$14,738.0/$14,356.9 -1]100 = 2.7%], or accumulating the quarter on quarter growth rates (Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html). The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.9 percent, 5.4 percent from IQ1983 to IIIQ1986, 5.2 percent from IQ1983 to IVQ1986, 5.0 percent from IQ1983 to IQ1987, 5.0 percent from IQ1983 to IIQ1987 and at 7.8 percent from IQ1983 to IVQ1983 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html). The US maintained growth at 3.0 percent on average over entire cycles with expansions at higher rates compensating for contractions. Growth under trend in the entire cycle from IVQ2007 to IV2013 would have accumulated to 20.3 percent. GDP in IVQ2013 would be $18,040.3 billion if the US had grown at trend, which is higher by $2,098.0 billion than actual $15,942.3 billion. There are about two trillion dollars of GDP less than under trend, explaining the 29.1 million unemployed or underemployed equivalent to actual unemployment of 17.8 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2014/03/rules-discretionary-authorities-and.html). US GDP grew from $14,996.1 billion in IVQ2007 in constant dollars to $15,942.3 billion in IVQ2013 or 6.3 percent at the average annual equivalent rate of 1.0 percent. The US missed the opportunity to grow at higher rates during the expansion and it is difficult to catch up because rates in the final periods of expansions tend to decline. The US missed the opportunity for recovery of output and employment always afforded in the first four quarters of expansion from recessions. Zero interest rates and quantitative easing were not required or present in successful cyclical expansions and in secular economic growth at 3.0 percent per year and 2.0 percent per capita as measured by Lucas (2011May). There is cyclical uncommonly slow growth in the US instead of allegations of secular stagnation.

First, total nonfarm payroll employment seasonally adjusted (SA) increased 175,000 in Feb 2014 and private payroll employment rose 162,000. The average number of nonfarm jobs created from Feb 2012 to Feb 2013 was 177,250, using seasonally adjusted data, while the average number of nonfarm jobs created from Feb 2013 to Feb 2014 was 179,833, or increase by 1.5 percent. The average number of private jobs created in the US from Feb 2012 to Feb 2013 was 182,000, using seasonally adjusted data, while the average from Feb 2013 to Feb 2014 was 182,500, or increase by 0.3 percent. This blog calculates the effective labor force of the US at 162.076 million in Feb 2013 and 163.570 million in Feb 2014 (Table I-4), for growth of 1.494 million at average 124,500 per month. The difference between the average increase of 182,500 new private nonfarm jobs per month in the US from Feb 2013 to Feb 2014 and the 124,500 average monthly increase in the labor force from Feb 2013 to Feb 2014 is 58,000 monthly new jobs net of absorption of new entrants in the labor force. There are 29.136 million in job stress in the US currently. Creation of 58,000 new jobs per month net of absorption of new entrants in the labor force would require 502 months to provide jobs for the unemployed and underemployed (29.136 million divided by 58,000) or 42 years (502 divided by 12). The civilian labor force of the US in Feb 2014 not seasonally adjusted stood at 155.027 million with 10.893 million unemployed or effectively 19.436 million unemployed in this blog’s calculation by inferring those who are not searching because they believe there is no job for them for effective labor force of 163.570 million. Reduction of one million unemployed at the current rate of job creation without adding more unemployment requires 1.4 years (1 million divided by product of 58,000 by 12, which is 696,000). Reduction of the rate of unemployment to 5 percent of the labor force would be equivalent to unemployment of only 7.751 million (0.05 times labor force of 155.027 million) for new net job creation of 3.142 million (10.893 million unemployed minus 7.751 million unemployed at rate of 5 percent) that at the current rate would take 4.5 years (3.142 million divided by 0.696000). Under the calculation in this blog, there are 19.436 million unemployed by including those who ceased searching because they believe there is no job for them and effective labor force of 163.570 million. Reduction of the rate of unemployment to 5 percent of the labor force would require creating 11.257 million jobs net of labor force growth that at the current rate would take 16.2 years (19.436 million minus 0.05(163.570 million) = 11.257 million divided by 0.696000, using LF PART 66.2% and Total UEM in Table I-4). These calculations assume that there are no more recessions, defying United States economic history with periodic contractions of economic activity when unemployment increases sharply. The number employed in Feb 2014 was 144.134 million (NSA) or 3.181 million fewer people with jobs relative to the peak of 147.315 million in Jul 2007 while the civilian noninstitutional population increased from 231.958 million in Jul 2007 to 247.085 million in Feb 2014 or by 15.127 million. The number employed fell 2.2 percent from Jul 2007 to Feb 2014 while population increased 6.5 percent. There is actually not sufficient job creation in merely absorbing new entrants in the labor force because of those dropping from job searches, worsening the stock of unemployed or underemployed in involuntary part-time jobs.

There is current interest in past theories of “secular stagnation.” Alvin H. Hansen (1939, 4, 7; see Hansen 1938, 1941; for an early critique see Simons 1942) argues:

“Not until the problem of full employment of our productive resources from the long-run, secular standpoint was upon us, were we compelled to give serious consideration to those factors and forces in our economy which tend to make business recoveries weak and anaemic (sic) and which tend to prolong and deepen the course of depressions. This is the essence of secular stagnation-sick recoveries which die in their infancy and depressions which feed on them-selves and leave a hard and seemingly immovable core of unemployment. Now the rate of population growth must necessarily play an important role in determining the character of the output; in other words, the com-position of the flow of final goods. Thus a rapidly growing population will demand a much larger per capita volume of new residential building construction than will a stationary population. A stationary population with its larger proportion of old people may perhaps demand more personal services; and the composition of consumer demand will have an important influence on the quantity of capital required. The demand for housing calls for large capital outlays, while the demand for personal services can be met without making large investment expenditures. It is therefore not unlikely that a shift from a rapidly growing population to a stationary or declining one may so alter the composition of the final flow of consumption goods that the ratio of capital to output as a whole will tend to decline.”

The argument that anemic population growth causes “secular stagnation” in the US (Hansen 1938, 1939, 1941) is as misplaced currently as in the late 1930s (for early dissent see Simons 1942). There is currently population growth in the ages of 16 to 24 years but not enough job creation and discouragement of job searches for all ages (http://cmpassocregulationblog.blogspot.com/2014/03/global-financial-risks-recovery-without.html and earlier http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html).

Second, the US maintained growth at 3.0 percent on average over entire cycles with expansions at higher rates compensating for contractions. Growth under trend in the entire cycle from IVQ2007 to IV2013 would have accumulated to 20.3 percent. GDP in IVQ2013 would be $18,040.3 billion if the US had grown at trend, which is higher by $2,098.0 billion than actual $15,942.3 billion. There are about two trillion dollars of GDP less than under trend, explaining the 29.1 million unemployed or underemployed equivalent to actual unemployment of 17.8 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2014/03/rules-discretionary-authorities-and.html). US GDP grew from $14,996.1 billion in IVQ2007 in constant dollars to $15,942.3 billion in IVQ2013 or 6.3 percent at the average annual equivalent rate of 1.0 percent. The US missed the opportunity to grow at higher rates during the expansion and it is difficult to catch up because rates in the final periods of expansions tend to decline. The US missed the opportunity for recovery of output and employment always afforded in the first four quarters of expansion from recessions. Zero interest rates and quantitative easing were not required or present in successful cyclical expansions and in secular economic growth at 3.0 percent per year and 2.0 percent per capita as measured by Lucas (2011May). There is cyclical uncommonly slow growth in the US instead of allegations of secular stagnation. The economy of the US can be summarized in growth of economic activity or GDP as decelerating from mediocre growth of 2.5 percent on an annual basis in 2010 to 1.8 percent in 2011, 2.8 percent in 2012 and 1.9 percent in 2013. The following calculations show that actual growth is around 2.2 to 2.5 percent per year. The rate of growth of 1.0 percent in the entire cycle from 2007 to 2013 is well below 3 percent per year in trend from 1870 to 2010, which the economy of the US always attained for entire cycles in expansions after events such as wars and recessions (Lucas 2011May). Revisions and enhancements of United States GDP and personal income accounts by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm) provide important information on long-term growth and cyclical behavior. Table Summary provides relevant data.

1. Long-term. US GDP grew at the average yearly rate of 3.3 percent from 1929 to 2013 and at 3.2 percent from 1947 to 2013. There were periodic contractions or recessions in this period but the economy grew at faster rates in the subsequent expansions, maintaining long-term economic growth at trend.
2. Whole Cycles. Long-term growth was around 3.0 percent per year during entire cycles including contractions and expansions. The average growth rate of GDP was 3.2 percent per year in the entire cycle from 1980 to 1989 but only 1.0 percent in the entire cycle from 2007 to 2013.
3. Cycles. The combined contraction of GDP in the two almost consecutive recessions in the early 1980s is 4.7 percent. The contraction of US GDP from IVQ2007 to IIQ2009 during the global recession was 4.3 percent. The critical difference in the expansion is growth at average 7.8 percent in annual equivalent in the first four quarters of recovery from IQ1983 to IVQ1983. The average rate of growth of GDP in four cyclical expansions in the postwar period is 7.7 percent. In contrast, the rate of growth in the first four quarters from IIIQ2009 to IIQ2010 was only 2.7 percent. Average annual equivalent growth in the expansion from IQ1983 to IVQ1985 was 5.9 percent and 5.0 percent from IQ1983 to IIQ1987. In contrast, average annual equivalent growth in the expansion from IIIQ2009 to IVQ2013 was only 2.4 percent. The US appears to have lost its dynamism of income growth and employment creation.

Table Summary, Long-term and Cyclical Growth of GDP, Real Disposable Income and Real Disposable Income per Capita

	GDP
Long-Term
1929-2013	3.3
1947-2013	3.2
Whole Cycles
1980-1989	3.2
2006-2013	1.1
2007-2013	1.0
Cyclical Contractions ∆%
IQ1980 to IIIQ1980, IIIQ1981 to IVQ1982	-4.7
IVQ2007 to IIQ2009	-4.3
Cyclical Expansions Average Annual Equivalent ∆%
IQ1983 to IVQ1985 IQ1983-IQ1986 IQ1983-IIIQ1986 IQ1983-IVQ1986 IQ1983-IQ1987 IQ1983-IIQ1987	5.9 5.7 5.4 5.2 5.0 5.0
First Four Quarters IQ1983 to IVQ1983	7.8
IIIQ2009 to IVQ2013	2.4
First Four Quarters IIIQ2009 to IIQ2010	2.7
	Real Disposable Income	Real Disposable Income per Capita
Long-Term
1929-2013	3.2	2.0
1947-1999	3.7	2.3
Whole Cycles
1980-1989	3.5	2.6
2006-2013	1.3	0.5

Source: Bureau of Economic Analysis http://www.bea.gov/iTable/index_nipa.cfm

The revisions and enhancements of United States GDP and personal income accounts by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm) also provide critical information in assessing the current rhythm of US economic growth. The economy appears to be moving at a pace from 2.3 to 2.6 percent per year. Table Summary GDP provides the data.

1. Average Annual Growth in the Past Eight Quarters. GDP growth in the four quarters of 2012 and the four quarters of 2013 accumulated to 4.6 percent. This growth is equivalent to 2.2 percent per year, obtained by dividing GDP in IVQ2013 of $15,942.3 billion by GDP in IVQ2011 of $15,242.1 billion and compounding by 4/8: {[($15,942.3/$15,242.1)^4/8 -1]100 = 2.3 percent.

2. Average Annual Growth in the Four Quarters of 2013. GDP growth in the four quarters of 2013 accumulated to 2.6 percent that is equivalent to 2.6 percent in a year. This is obtained by dividing GDP in IVQ2013 of $15,942.3 billion by GDP in IVQ2012 of $15,539.6 billion and compounding by 4/4: {[($15,942.3/$15,539.6)^4/4 -1]100 = 2.6%}. The US economy grew 2.6 percent in IVQ2013 relative to the same quarter a year earlier in IVQ2012. Another important revelation of the revisions and enhancements is that GDP was flat in IVQ2012, which is just at the borderline of contraction. The rate of growth of GDP in the third estimate of IIIQ2013 is 4.1 percent in seasonally adjusted annual rate (SAAR). Inventory accumulation contributed 1.67 percentage points to this rate of growth. The actual rate without this impulse of unsold inventories would have been 2.43 percent, or 0.6 percent in IIIQ2013, such that annual equivalent growth in 2013 is closer to 2.1 percent {[(1.003)(1.006)(1.006)(1.007)^4/4-1]100 = 2.2%}, compounding the quarterly rates and converting into annual equivalent.

Table Summary GDP, US, Real GDP and Percentage Change Relative to IVQ2007 and Prior Quarter, Billions Chained 2005 Dollars and ∆%

	Real GDP, Billions Chained 2009 Dollars	∆% Relative to IVQ2007	∆% Relative to Prior Quarter	∆% over Year Earlier
IVQ2007	14,996.1	NA	NA	1.9
IVQ2011	15,242.1	1.6	1.2	2.0
IQ2012	15,381.6	2.6	0.9	3.3
IIQ2012	15,427.7	2.9	0.3	2.8
IIIQ2012	15,534.0	3.6	0.7	3.1
IVQ2012	15,539.6	3.6	0.0	2.0
IQ2013	15,583.9	3.9	0.3	1.3
IIQ2013	15,679.7	4.6	0.6	1.6
IIIQ2013	15,839.3	5.6	1.0	2.0
IVQ2013	15,942.3	6.3	0.7	2.6
Cumulative ∆% IQ2012 to IVQ2013	4.6		4.6
Annual Equivalent ∆%	2.3		2.3

Source: US Bureau of Economic Analysis http://www.bea.gov/iTable/index_nipa.cfm

In fact, it is evident to the public that this policy will be abandoned if inflation costs rise. There is concern of the production and employment costs of controlling future inflation. Even if there is no inflation, QE → ∞ cannot be abandoned because of the fear of rising interest rates. The economy would operate in an inferior allocation of resources and suboptimal growth path, or interior point of the production possibilities frontier where the optimum of productive efficiency and wellbeing is attained, because of the distortion of risk/return decisions caused by perpetual financial repression. Not even a second-best allocation is feasible with the shocks to efficiency of financial repression in perpetuity.

The statement of the FOMC at the conclusion of its meeting on Dec 12, 2012, revealed policy intentions (http://www.federalreserve.gov/newsevents/press/monetary/20121212a.htm) practically unchanged in the statement at its meeting on Mar 19, 2014 with symbolic reduction of purchases of securities for the Fed’s balance sheet (http://www.federalreserve.gov/newsevents/press/monetary/20140319a.htm):

“Release Date: March 19, 2014

For immediate release

Information received since the Federal Open Market Committee met in January indicates that growth in economic activity slowed during the winter months, in part reflecting adverse weather conditions. Labor market indicators were mixed but on balance showed further improvement. The unemployment rate, however, remains elevated. Household spending and business fixed investment continued to advance, while the recovery in the housing sector remained slow. Fiscal policy is restraining economic growth, although the extent of restraint is diminishing. Inflation has been running below the Committee's longer-run objective, but longer-term inflation expectations have remained stable.

Consistent with its statutory mandate, the Committee seeks to foster maximum employment and price stability. The Committee expects that, with appropriate policy accommodation, economic activity will expand at a moderate pace and labor market conditions will continue to improve gradually, moving toward those the Committee judges consistent with its dual mandate. The Committee sees the risks to the outlook for the economy and the labor market as nearly balanced. The Committee recognizes that inflation persistently below its 2 percent objective could pose risks to economic performance, and it is monitoring inflation developments carefully for evidence that inflation will move back toward its objective over the medium term.

The Committee currently judges that there is sufficient underlying strength in the broader economy to support ongoing improvement in labor market conditions. In light of the cumulative progress toward maximum employment and the improvement in the outlook for labor market conditions since the inception of the current asset purchase program, the Committee decided to make a further measured reduction in the pace of its asset purchases. Beginning in April, the Committee will add to its holdings of agency mortgage-backed securities at a pace of $25 billion per month rather than $30 billion per month, and will add to its holdings of longer-term Treasury securities at a pace of $30 billion per month rather than $35 billion per month. The Committee is maintaining its existing policy of reinvesting principal payments from its holdings of agency debt and agency mortgage-backed securities in agency mortgage-backed securities and of rolling over maturing Treasury securities at auction. The Committee's sizable and still-increasing holdings of longer-term securities should maintain downward pressure on longer-term interest rates, support mortgage markets, and help to make broader financial conditions more accommodative, which in turn should promote a stronger economic recovery and help to ensure that inflation, over time, is at the rate most consistent with the Committee's dual mandate.

The Committee will closely monitor incoming information on economic and financial developments in coming months and will continue its purchases of Treasury and agency mortgage-backed securities, and employ its other policy tools as appropriate, until the outlook for the labor market has improved substantially in a context of price stability. If incoming information broadly supports the Committee's expectation of ongoing improvement in labor market conditions and inflation moving back toward its longer-run objective, the Committee will likely reduce the pace of asset purchases in further measured steps at future meetings. However, asset purchases are not on a preset course, and the Committee's decisions about their pace will remain contingent on the Committee's outlook for the labor market and inflation as well as its assessment of the likely efficacy and costs of such purchases.

To support continued progress toward maximum employment and price stability, the Committee today reaffirmed its view that a highly accommodative stance of monetary policy remains appropriate. In determining how long to maintain the current 0 to 1/4 percent target range for the federal funds rate, the Committee will assess progress--both realized and expected--toward its objectives of maximum employment and 2 percent inflation. This assessment will take into account a wide range of information, including measures of labor market conditions, indicators of inflation pressures and inflation expectations, and readings on financial developments. The Committee continues to anticipate, based on its assessment of these factors, that it likely will be appropriate to maintain the current target range for the federal funds rate for a considerable time after the asset purchase program ends, especially if projected inflation continues to run below the Committee's 2 percent longer-run goal, and provided that longer-term inflation expectations remain well anchored.

When the Committee decides to begin to remove policy accommodation, it will take a balanced approach consistent with its longer-run goals of maximum employment and inflation of 2 percent. The Committee currently anticipates that, even after employment and inflation are near mandate-consistent levels, economic conditions may, for some time, warrant keeping the target federal funds rate below levels the Committee views as normal in the longer run.

With the unemployment rate nearing 6-1/2 percent, the Committee has updated its forward guidance. The change in the Committee's guidance does not indicate any change in the Committee's policy intentions as set forth in its recent statements.

Voting for the FOMC monetary policy action were: Janet L. Yellen, Chair; William C. Dudley, Vice Chairman; Richard W. Fisher; Sandra Pianalto; Charles I. Plosser; Jerome H. Powell; Jeremy C. Stein; and Daniel K. Tarullo.

Voting against the action was Narayana Kocherlakota, who supported the sixth paragraph, but believed the fifth paragraph weakens the credibility of the Committee's commitment to return inflation to the 2 percent target from below and fosters policy uncertainty that hinders economic activity.”

There are several important issues in this statement.

1. Mandate. The FOMC pursues a policy of attaining its “dual mandate” of (http://www.federalreserve.gov/aboutthefed/mission.htm):

“Conducting the nation's monetary policy by influencing the monetary and credit conditions in the economy in pursuit of maximum employment, stable prices, and moderate long-term interest rates”

1. Open-ended Quantitative Easing or QE_∞ with Symbolic Tapering. Earlier programs are continued with an additional lower open-ended $55 billion of bond purchases per month, increasing the stock of $3,830,311 million securities held outright and bank reserves deposited at the Fed of $2,525,773 million (http://www.federalreserve.gov/releases/h41/current/h41.htm#h41tab1): “The Committee currently judges that there is sufficient underlying strength in the broader economy to support ongoing improvement in labor market conditions. In light of the cumulative progress toward maximum employment and the improvement in the outlook for labor market conditions since the inception of the current asset purchase program, the Committee decided to make a further measured reduction in the pace of its asset purchases. Beginning in April, the Committee will add to its holdings of agency mortgage-backed securities at a pace of $25 billion per month rather than $30 billion per month, and will add to its holdings of longer-term Treasury securities at a pace of $30 billion per month rather than $35 billion per month. The Committee is maintaining its existing policy of reinvesting principal payments from its holdings of agency debt and agency mortgage-backed securities in agency mortgage-backed securities and of rolling over maturing Treasury securities at auction. The Committee's sizable and still-increasing holdings of longer-term securities should maintain downward pressure on longer-term interest rates, support mortgage markets, and help to make broader financial conditions more accommodative, which in turn should promote a stronger economic recovery and help to ensure that inflation, over time, is at the rate most consistent with the Committee's dual mandate.”
2. New Advance Guidance.” Policy will be accommodative even after the economy recovers satisfactorily: “To support continued progress toward maximum employment and price stability, the Committee today reaffirmed its view that a highly accommodative stance of monetary policy remains appropriate. In determining how long to maintain the current 0 to 1/4 percent target range for the federal funds rate, the Committee will assess progress--both realized and expected--toward its objectives of maximum employment and 2 percent inflation. This assessment will take into account a wide range of information, including measures of labor market conditions, indicators of inflation pressures and inflation expectations, and readings on financial developments. The Committee continues to anticipate, based on its assessment of these factors, that it likely will be appropriate to maintain the current target range for the federal funds rate for a considerable time after the asset purchase program ends, especially if projected inflation continues to run below the Committee's 2 percent longer-run goal, and provided that longer-term inflation expectations remain well anchored (emphasis added).”
3. Policy Commitment with Unemployment Rate. “With the unemployment rate nearing 6-1/2 percent, the Committee has updated its forward guidance. The change in the Committee's guidance does not indicate any change in the Committee's policy intentions as set forth in its recent statements.

Current focus is on tapering quantitative easing by the Federal Open Market Committee (FOMC). There is sharp distinction between the two measures of unconventional monetary policy: (1) fixing of the overnight rate of fed funds at 0 to ¼ percent; and (2) outright purchase of Treasury and agency securities and mortgage-backed securities for the balance sheet of the Federal Reserve. Market are overreacting to the so-called “paring” of outright purchases to $55 billion of securities per month for the balance sheet of the Fed. What is truly important is the fixing of the overnight fed funds at 0 to ¼ percent for which there is no end in sight as evident in the FOMC statement for Mar 19, 2014 (http://www.federalreserve.gov/newsevents/press/monetary/20140319a.htm):

“To support continued progress toward maximum employment and price stability, the Committee today reaffirmed its view that a highly accommodative stance of monetary policy remains appropriate. In determining how long to maintain the current 0 to 1/4 percent target range for the federal funds rate, the Committee will assess progress--both realized and expected--toward its objectives of maximum employment and 2 percent inflation. This assessment will take into account a wide range of information, including measures of labor market conditions, indicators of inflation pressures and inflation expectations, and readings on financial developments. The Committee continues to anticipate, based on its assessment of these factors, that it likely will be appropriate to maintain the current target range for the federal funds rate for a considerable time after the asset purchase program ends, especially if projected inflation continues to run below the Committee's 2 percent longer-run goal, and provided that longer-term inflation expectations remain well anchored.” (emphasis added).

How long is “considerable time”? At the press conference following the meeting on Mar 19, 2014, Chair Yellen answered a question of Jon Hilsenrath of the Wall Street Journal explaining “In particular, the Committee has endorsed the view that it anticipates that will be a considerable period after the asset purchase program ends before it will be appropriate to begin to raise rates. And of course on our present path, well, that's not utterly preset. We would be looking at next, next fall. So, I think that's important guidance” (http://www.federalreserve.gov/mediacenter/files/FOMCpresconf20140319.pdf). Many focused on “next fall,” ignoring that the path of increasing rates is not “utterly preset.”

There is a critical phrase in the statement of Sep 19, 2013 (http://www.federalreserve.gov/newsevents/press/monetary/20130918a.htm): “but mortgage rates have risen further.” Did the increase of mortgage rates influence the decision of the FOMC not to taper? Is FOMC “communication” and “guidance” successful? Will the FOMC increase purchases of mortgage-backed securities if mortgage rates increase?

In testimony on the Semiannual Monetary Policy Report to the Congress before the Committee on Financial Services, US House of Representatives, on Feb 11, 2014, Chair Janet Yellen states (http://www.federalreserve.gov/newsevents/testimony/yellen20140211a.htm):

“Turning to monetary policy, let me emphasize that I expect a great deal of continuity in the FOMC's approach to monetary policy. I served on the Committee as we formulated our current policy strategy and I strongly support that strategy, which is designed to fulfill the Federal Reserve's statutory mandate of maximum employment and price stability.  If incoming information broadly supports the Committee's expectation of ongoing improvement in labor market conditions and inflation moving back toward its longer-run objective, the Committee will likely reduce the pace of asset purchases in further measured steps at future meetings. That said, purchases are not on a preset course, and the Committee's decisions about their pace will remain contingent on its outlook for the labor market and inflation as well as its assessment of the likely efficacy and costs of such purchases.  In December of last year and again this January, the Committee said that its current expectation--based on its assessment of a broad range of measures of labor market conditions, indicators of inflation pressures and inflation expectations, and readings on financial developments--is that it likely will be appropriate to maintain the current target range for the federal funds rate well past the time that the unemployment rate declines below 6-1/2 percent, especially if projected inflation continues to run below the 2 percent goal. I am committed to achieving both parts of our dual mandate: helping the economy return to full employment and returning inflation to 2 percent while ensuring that it does not run persistently above or below that level (emphasis added).”

At the confirmation hearing on nomination for Chair of the Board of Governors of the Federal Reserve System, Vice Chair Yellen (2013Nov14 http://www.federalreserve.gov/newsevents/testimony/yellen20131114a.htm), states needs and intentions of policy:

“We have made good progress, but we have farther to go to regain the ground lost in the crisis and the recession. Unemployment is down from a peak of 10 percent, but at 7.3 percent in October, it is still too high, reflecting a labor market and economy performing far short of their potential. At the same time, inflation has been running below the Federal Reserve's goal of 2 percent and is expected to continue to do so for some time.

For these reasons, the Federal Reserve is using its monetary policy tools to promote a more robust recovery. A strong recovery will ultimately enable the Fed to reduce its monetary accommodation and reliance on unconventional policy tools such as asset purchases. I believe that supporting the recovery today is the surest path to returning to a more normal approach to monetary policy.”

In his classic restatement of the Keynesian demand function in terms of “liquidity preference as behavior toward risk,” James Tobin (http://www.nobelprize.org/nobel_prizes/economic-sciences/laureates/1981/tobin-bio.html) identifies the risks of low interest rates in terms of portfolio allocation (Tobin 1958, 86):

“The assumption that investors expect on balance no change in the rate of interest has been adopted for the theoretical reasons explained in section 2.6 rather than for reasons of realism. Clearly investors do form expectations of changes in interest rates and differfrom each other in their expectations. For the purposes of dynamic theory and of analysis of specific market situations, the theories of sections 2 and 3 are complementary rather than competitive. The formal apparatus of section 3 will serve just as well for a non-zero expected capital gain or loss as for a zero expected value of g. Stickiness of interest rate expectations would mean that the expected value of g is a function of the rate of interest r, going down when r goes down and rising when r goes up. In addition to the rotation of the opportunity locus due to a change in r itself, there would be a further rotation in the same direction due to the accompanying change in the expected capital gain or loss. At low interest rates expectation of capital loss may push the opportunity locus into the negative quadrant, so that the optimal position is clearly no consols, all cash. At the other extreme, expectation of capital gain at high interest rates would increase sharply the slope of the opportunity locus and the frequency of no cash, all consols positions, like that of Figure 3.3. The stickier the investor's expectations, the more sensitive his demand for cash will be to changes in the rate of interest (emphasis added).”

Tobin (1969) provides more elegant, complete analysis of portfolio allocation in a general equilibrium model. The major point is equally clear in a portfolio consisting of only cash balances and a perpetuity or consol. Let g be the capital gain, r the rate of interest on the consol and r^e the expected rate of interest. The rates are expressed as proportions. The price of the consol is the inverse of the interest rate, (1+r^e). Thus, g = [(r/r^e) – 1]. The critical analysis of Tobin is that at extremely low interest rates there is only expectation of interest rate increases, that is, dr^e>0, such that there is expectation of capital losses on the consol, dg<0. Investors move into positions combining only cash and no consols. Valuations of risk financial assets would collapse in reversal of long positions in carry trades with short exposures in a flight to cash. There is no exit from a central bank created liquidity trap without risks of financial crash and another global recession. The net worth of the economy depends on interest rates. In theory, “income is generally defined as the amount a consumer unit could consume (or believe that it could) while maintaining its wealth intact” (Friedman 1957, 10). Income, Y, is a flow that is obtained by applying a rate of return, r, to a stock of wealth, W, or Y = rW (Ibid). According to a subsequent statement: “The basic idea is simply that individuals live for many years and that therefore the appropriate constraint for consumption is the long-run expected yield from wealth r*W. This yield was named permanent income: Y* = r*W” (Darby 1974, 229), where * denotes permanent. The simplified relation of income and wealth can be restated as:

W = Y/r (10

Equation (1) shows that as r goes to zero, r→0, W grows without bound, W→∞. Unconventional monetary policy lowers interest rates to increase the present value of cash flows derived from projects of firms, creating the impression of long-term increase in net worth. An attempt to reverse unconventional monetary policy necessarily causes increases in interest rates, creating the opposite perception of declining net worth. As r→∞, W = Y/r →0. There is no exit from unconventional monetary policy without increasing interest rates with resulting pain of financial crisis and adverse effects on production, investment and employment.

It may be quite painful to exit QE∞ or use of the balance sheet of the central bank together with zero interest rates forever. The basic valuation equation that is also used in capital budgeting postulates that the value of stocks or of an investment project is given by:

Where R_τ is expected revenue in the time horizon from τ =1 to T; C_τ denotes costs; and ρ is an appropriate rate of discount. In words, the value today of a stock or investment project is the net revenue, or revenue less costs, in the investment period from τ =1 to T discounted to the present by an appropriate rate of discount. In the current weak economy, revenues have been increasing more slowly than anticipated in investment plans. An increase in interest rates would affect discount rates used in calculations of present value, resulting in frustration of investment decisions. If V represents value of the stock or investment project, as ρ → ∞, meaning that discount rates increase without bound, then V → 0, or

declines.

IB Functions of Banks. Modern banking theory analyzes three important functions provided by banks: monitoring of borrowers, provision of liquidity services and transformation of illiquid assets into immediately liquid assets (Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 51-60). These functions require valuation of alternative investment projects that may be distorted by zero interest rates of monetary policy and artificially low long-term interest rates. The QE∞ trap frustrates essential banking functions.

1. Monitoring. Banks monitor projects to ensure that funds are allocated to their intended projects (Diamond 1984, 1996). Banks issue deposits, which are secondary assets, to acquire loans, which are primary assets. Monitoring reduces costs of participating in business projects. Acting as delegated monitor, banks obtain information on the borrower, allowing less costly participation through the issue of unmonitored deposits. Monitoring of borrowers provides enhanced less costly participation by investors through the issue of deposits. There is significant reduction of monitoring costs by delegating to a bank. If there are many potential investors, monitoring by the bank of a credit name is less costly than the sum of individual monitoring of the same credit name by all potential investors. Banks permit borrowers to reach many investors for their projects while affording investors less costly participation in the returns of projects of bank borrowers.
2. Transformation of Illiquid Loans into Liquid Deposits. Diamond and Dybvig (1986) analyze bank services through bank balance sheets.

i. Assets. Banks provide loans to borrowers. The evaluation of borrowers prevents “adverse selection,” which consists of banks choosing unsound projects and failing to finance sound projects. Monitoring of loans prevents “moral hazard,” which consists of borrowers using the funds of the loan for purposes other than the project for which they were lent, as for example, using borrowed bank funds for speculative real estate instead of for the intended industrial project. Relationship banking improves the information on borrowers and the monitoring function.

ii. Liabilities. Banks provide numerous services to their clients such as holding deposits, clearing transactions, currency inventory and payments for goods, services and obligations.

iii. Assets and Liabilities: Transformation Function. The transformation function operates through both sides of the balance sheet: banks convert illiquid loans in the asset side into liquid deposits in the liability side. There is rich theory of banking (Diamond and Rajan 2000, 2001a,b). Securitized banking provides the same transformation function by bundling mortgage and other consumer loans into securities that are then sold to investors who finance them in short-dated sale and repurchase agreements (Pelaez and Pelaez, Regulation of Banks and Finance (2008b), 61-6).

Banking was important in facilitating economic growth in historical periods (Cameron 1961, 1967, 1972; Cameron et al. 1992). Banking is also important currently because small- and medium-size business may have no other form of financing than banks in contrast with many options for larger and more mature companies that have access to capital markets. Personal consumptions expenditures have share of 68.2 percent of GDP in IVQ2013 (Table I-10 in Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html). Most consumers rely on their banks for real estate loans, credit cards and personal consumer loans. Thus, it should be expected that success of monetary policy in stimulating the economy would be processed through bank balance sheets.

IA Appendix: Transmission of Unconventional Monetary Policy. Janet L. Yellen, Vice Chair of the Board of Governors of the Federal Reserve System, provides analysis of the policy of purchasing large amounts of long-term securities for the Fed’s balance sheet. The new analysis provides three channels of transmission of quantitative easing to the ultimate objectives of increasing growth and employment and increasing inflation to “levels of 2 percent or a bit less that most Committee participants judge to be consistent, over the long run, with the FOMC’s dual mandate” (Yellen 2011AS, 4, 7):

“There are several distinct channels through which these purchases tend to influence aggregate demand, including a reduced cost of credit to consumers and businesses, a rise in asset prices that boost household wealth and spending, and a moderate change in the foreign exchange value of the dollar that provides support to net exports.”

The new analysis by Yellen (2011AS) is considered below in four separate subsections: IA1 Theory; IA2 Policy; IA3 Evidence; and IA4 Unwinding Strategy.

IA1 Theory. The transmission mechanism of quantitative easing can be analyzed in three different forms. (1) Portfolio choice theory. General equilibrium value theory was proposed by Hicks (1935) in analyzing the balance sheets of individuals and institutions with assets in the capital segment consisting of money, debts, stocks and productive equipment. Net worth or wealth would be comparable to income in value theory. Expected yield and risk would be the constraint comparable to income in value theory. Markowitz (1952) considers a portfolio of individual securities with mean μ_p and variance σ_p. The Markowitz (1952, 82) rule states that “investors would (or should” want to choose a portfolio of combinations of (μ_p, σ_p) that are efficient, which are those with minimum variance or risk for given expected return μ_p or more and maximum expected μ_p for given variance or risk or less. The more complete model of Tobin (1958) consists of portfolio choice of monetary assets by maximizing a utility function subject to a budget constraint. Tobin (1961, 28) proposes general equilibrium analysis of the capital account to derive choices of capital assets in balance sheets of economic units with the determination of yields in markets for capital assets with the constraint of net worth. A general equilibrium model of choice of portfolios was developed simultaneously by various authors (Hicks 1962; Treynor 1962; Sharpe 1964; Lintner 1965; Mossin 1966). If shocks such as by quantitative easing displace investors from the efficient frontier, there would be reallocations of portfolios among assets until another efficient point is reached. Investors would bid up the prices or lower the returns (interest plus capital gains) of long-term assets targeted by quantitative easing, causing the desired effect of lowering long-term costs of investment and consumption.

(2) General Equilibrium Theory. Bernanke and Reinhart (2004, 88) argue that “the possibility monetary policy works through portfolio substitution effects, even in normal times, has a long intellectual history, having been espoused by both Keynesians (James Tobin 1969) and monetarists (Karl Brunner and Allan Meltzer 1973).” Andres et al. (2004) explain the Tobin (1969) contribution by optimizing agents in a general-equilibrium model. Both Tobin (1969) and Brunner and Meltzer (1973) consider capital assets to be gross instead of perfect substitutes with positive partial derivatives of own rates of return and negative partial derivatives of cross rates in the vector of asset returns (interest plus principal gain or loss) as argument in portfolio balancing equations (see Pelaez and Suzigan 1978, 113-23). Tobin (1969, 26) explains portfolio substitution after monetary policy:

“When the supply of any asset is increased, the structure of rates of return, on this and other assets, must change in a way that induces the public to hold the new supply. When the asset’s own rate can rise, a large part of the necessary adjustment can occur in this way. But if the rate is fixed, the whole adjustment must take place through reductions in other rates or increases in prices of other assets. This is the secret of the special role of money; it is a secret that would be shared by any other asset with a fixed interest rate.”

Andrés et al. (2004, 682) find that in their multiple-channels model “base money expansion now matters for the deviations of long rates from the expected path of short rates. Monetary policy operates by both the expectations channel (the path of current and expected future short rates) and this additional channel. As in Tobin’s framework, interest rates spreads (specifically, the deviations from the pure expectations theory of the term structure) are an endogenous function of the relative quantities of assets supplied.”

The interrelation among yields of default-free securities is measured by the term structure of interest rates. This schedule of interest rates along time incorporates expectations of investors. (Cox, Ingersoll and Ross 1985). The expectations hypothesis postulates that the expectations of investors about the level of future spot rates influence the level of current long-term rates. The normal channel of transmission of monetary policy in a recession is to lower the target of the fed funds rate that will lower future spot rates through the term structure and also the yields of long-term securities. The expectations hypothesis is consistent with term premiums (Cox, Ingersoll and Ross 1981, 774-7) such as liquidity to compensate for risk or uncertainty about future events that can cause changes in prices or yields of long-term securities (Hicks 1935; see Cox, Ingersoll and Ross 1981, 784; Chung et al. 2011, 22).

(3) Preferred Habitat. Another approach is by the preferred-habitat models proposed by Culbertson (1957, 1963) and Modigliani and Sutch (1966). This approach is formalized by Vayanos and Vila (2009). The model considers investors or “clientele” who do not abandon their segment of operations unless there are extremely high potential returns and arbitrageurs who take positions to profit from discrepancies. Pension funds matching benefit liabilities would operate in segments above 15 years; life insurance companies operate around 15 years or more; and asset managers and bank treasury managers are active in maturities of less than 10 years (Ibid, 1). Hedge funds, proprietary trading desks and bank maturity transformation activities are examples of potential arbitrageurs. The role of arbitrageurs is to incorporate “information about current and future short rates into bond prices” (Ibid, 12). Suppose monetary policy raises the short-term rate above a certain level. Clientele would not trade on this information, but arbitrageurs would engage in carry trade, shorting bonds and investing at the short-term rate, in a “roll-up” trade, resulting in decline of bond prices or equivalently increases in yields. This is a situation of an upward-sloping yield curve. If the short-term rate were lowered, arbitrageurs would engage in carry trade borrowing at the short-term rate and going long bonds, resulting in an increase in bond prices or equivalently decline in yields, or “roll-down” trade. The carry trade is the mechanism by which bond yields adjust to changes in current and expected short-term interest rates. The risk premiums of bonds are positively associated with the slope of the term structure (Ibid, 13). Fama and Bliss (1987, 689) find with data for 1964-85 that “1-year expected returns for US Treasury maturities to 5 years, measured net of the interest rate on a 1-year bond, vary through time. Expected term premiums are mostly positive during good times but mostly negative during recessions.” Vayanos and Vila (2009) develop a model with two-factors, the short-term rate and demand or quantity. The term structure moves because of shocks of short-term rates and demand. An important finding is that demand or quantity shocks are largest for intermediate and long maturities while short-rate shocks are largest for short-term maturities.

IA2 Policy. A simplified analysis could consider the portfolio balance equations A_ij = f(r, x) where A_ij is the demand for i = 1,2,∙∙∙n assets from j = 1,2, ∙∙∙m sectors, r the 1xn vector of rates of return, r_i, of n assets and x a vector of other relevant variables. Tobin (1969) and Brunner and Meltzer (1973) assume imperfect substitution among capital assets such that the own first derivatives of A_ij are positive, demand for an asset increases if its rate of return (interest plus capital gains) is higher; and cross first derivatives are negative, demand for an asset decreases if the rate of return of alternative assets increases. Theoretical purity would require the estimation of the complete model with all rates of return. In practice, it may be impossible to observe all rates of return such as in the critique of Roll (1976). Policy proposals by the Fed have been focused on the likely impact of withdrawals of stocks of securities in specific segments, that is, of effects of one or several specific rates of return among the n possible rates. There have been at least seven approaches on the role of monetary policy in purchasing long-term securities that have increased the classes of rates of return targeted by the Fed:

(1) Suspension of Auctions of 30-year Treasury Bonds. Auctions of 30-year Treasury bonds were suspended between 2001 and 2005. This was Treasury policy not Fed policy. The effects were similar to those of quantitative easing: withdrawal of supply from the segment of 30-year bonds would result in higher prices or lower yields for close-substitute mortgage-backed securities with resulting lower mortgage rates. The objective was to encourage refinancing of house loans that would increase family income and consumption by freeing income from reducing monthly mortgage payments.

(2) Purchase of Long-term Securities by the Fed. Between Nov 2008 and Mar 2009 the Fed announced the intention of purchasing $1750 billion of long-term securities: $600 billion of agency mortgage-backed securities and agency debt announced on Nov 25 and $850 billion of agency mortgaged-backed securities and agency debt plus $300 billion of Treasury securities announced on Mar 18, 2009 (Yellen 2011AS, 5-6). The objective of buying mortgage-backed securities was to lower mortgage rates that would “support the housing sector” (Bernanke 2009SL). The FOMC statement on Dec 16, 2008 informs that: “over the next few quarters the Federal Reserve will purchase large quantities of agency debt and mortgage-backed securities to provide support to the mortgage and housing markets, and its stands ready to expand its purchases of agency debt and mortgage-backed securities as conditions warrant” (http://www.federalreserve.gov/newsevents/press/monetary/20081216b.htm). The Mar 18, 2009, statement of the FOMC explained that: “to provide greater support to mortgage lending and housing markets, the Committee decided today to increase the size of the Federal Reserve’s balance sheet further by purchasing up to an additional $750 billion of agency mortgage-backed securities, bringing its total purchases of these securities up to $1.25 trillion this year, and to increase its purchase of agency debt this year by up to $100 billion to a total of up to $200 billion. Moreover, to help improve conditions in private credit markets, the Committee decided to purchase up to $300 billion of longer-term Treasury securities over the next six months” (http://www.federalreserve.gov/newsevents/press/monetary/20090318a.htm). Policy changed to increase prices or reduce yields of mortgage-backed securities and Treasury securities with the objective of supporting housing markets and private credit markets by lowering costs of housing and long-term private credit.

(3) Portfolio Reinvestment. On Aug 10, 2010, the FOMC statement explains the reinvestment policy: “to help support the economic recovery in a context of price stability, the Committee will keep constant the Federal Reserve’s holdings of securities at their current level by reinvesting principal payments from agency debt and agency mortgage-backed securities in long-term Treasury securities. The Committee will continue to roll over the Federal Reserve’s holdings of Treasury securities as they mature” (http://www.federalreserve.gov/newsevents/press/monetary/20100810a.htm). The objective of policy appears to be supporting conditions in housing and mortgage markets with slow transfer of the portfolio to Treasury securities that would support private-sector markets.

(4) Increasing Portfolio. As widely anticipated, the FOMC decided on Dec 3, 2010: “to promote a stronger pace of economic recovery and to help ensure that inflation, over time, is at levels consistent with its mandate, the Committee decided today to expand its holdings of securities. The Committee will maintain its existing policy of reinvesting principal payments from its securities holdings. In addition, the Committee intends to purchase a further $600 billion of longer-term Treasury securities by the end of the second quarter of 2011, a pace of about $75 billion per month” (http://www.federalreserve.gov/newsevents/press/monetary/20101103a.htm). The emphasis appears to shift from housing markets and private-sector credit markets to the general economy, employment and preventing deflation.

(5) Increasing Stock Market Valuations. Chairman Bernanke (2010WP) explained on Nov 4 the objectives of purchasing an additional $600 billion of long-term Treasury securities and reinvesting maturing principal and interest in the Fed portfolio. Long-term interest rates fell and stock prices rose when investors anticipated the new round of quantitative easing. Growth would be promoted by easier lending such as for refinancing of home mortgages and more investment by lower corporate bond yields. Consumers would experience higher confidence as their wealth in stocks rose, increasing outlays. Income and profits would rise and, in a “virtuous circle,” support higher economic growth. Bernanke (2000) analyzes the role of stock markets in central bank policy (see Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 99-100). Fed policy in 1929 increased interest rates to avert a gold outflow and failed to prevent the deepening of the banking crisis without which the Great Depression may not have occurred. In the crisis of Oct 19, 1987, Fed policy supported stock and futures markets by persuading banks to extend credit to brokerages. Collapse of stock markets would slow consumer spending.

(6) Devaluing the Dollar. Yellen (2011AS, 6) broadens the effects of quantitative easing by adding dollar devaluation: “there are several distinct channels through which these purchases tend to influence aggregate demand, including a reduced cost of credit to consumers and businesses, a rise in asset prices that boosts household wealth and spending, and a moderate change in the foreign exchange value of the dollar that provides support to net exports.”

(7) Let’s Twist Again Monetary Policy. The term “operation twist” grew out of the dance “twist” popularized by successful musical performer Chubby Chekker (http://www.youtube.com/watch?v=aWaJ0s0-E1o). Meulendyke (1998, 39) describes the coordination of policy by Treasury and the FOMC in the beginning of the Kennedy administration in 1961 (see Modigliani and Sutch 1966, 1967; http://cmpassocregulationblog.blogspot.com/2011/09/imf-view-of-world-economy-and-finance.html http://cmpassocregulationblog.blogspot.com/2011/09/collapse-of-household-income-and-wealth.html):

“In 1961, several developments led the FOMC to abandon its “bills only” restrictions. The new Kennedy administration was concerned about gold outflows and balance of payments deficits and, at the same time, it wanted to encourage a rapid recovery from the recent recession. Higher rates seemed desirable to limit the gold outflows and help the balance of payments, while lower rates were wanted to speed up economic growth.

To deal with these problems simultaneously, the Treasury and the FOMC attempted to encourage lower long-term rates without pushing down short-term rates. The policy was referred to in internal Federal Reserve documents as “operation nudge” and elsewhere as “operation twist.” For a few months, the Treasury engaged in maturity exchanges with trust accounts and concentrated its cash offerings in shorter maturities.

The Federal Reserve participated with some reluctance and skepticism, but it did not see any great danger in experimenting with the new procedure.

It attempted to flatten the yield curve by purchasing Treasury notes and bonds while selling short-term Treasury securities. The domestic portfolio grew by $1.7 billion over the course of 1961. Note and bond holdings increased by a substantial $8.8 billion, while certificate of indebtedness holdings fell by almost $7.4 billion (Table 2). The extent to which these actions changed the yield curve or modified investment decisions is a source of dispute, although the predominant view is that the impact on yields was minimal. The Federal Reserve continued to buy coupon issues thereafter, but its efforts were not very aggressive. Reference to the efforts disappeared once short-term rates rose in 1963. The Treasury did not press for continued Fed purchases of long-term debt. Indeed, in the second half of the decade, the Treasury faced an unwanted shortening of its portfolio. Bonds could not carry a coupon with a rate above 4 1/4 percent, and market rates persistently exceeded that level. Notes—which were not subject to interest rate restrictions—had a maximum maturity of five years; it was extended to seven years in 1967.”

As widely anticipated by markets, perhaps intentionally, the Federal Open Market Committee (FOMC) decided at its meeting on Sep 21 that it was again “twisting time” (http://www.federalreserve.gov/newsevents/press/monetary/20110921a.htm):

“Information received since the Federal Open Market Committee met in August indicates that economic growth remains slow. Recent indicators point to continuing weakness in overall labor market conditions, and the unemployment rate remains elevated. Household spending has been increasing at only a modest pace in recent months despite some recovery in sales of motor vehicles as supply-chain disruptions eased. Investment in nonresidential structures is still weak, and the housing sector remains depressed. However, business investment in equipment and software continues to expand. Inflation appears to have moderated since earlier in the year as prices of energy and some commodities have declined from their peaks. Longer-term inflation expectations have remained stable.

Consistent with its statutory mandate, the Committee seeks to foster maximum employment and price stability. The Committee continues to expect some pickup in the pace of recovery over coming quarters but anticipates that the unemployment rate will decline only gradually toward levels that the Committee judges to be consistent with its dual mandate. Moreover, there are significant downside risks to the economic outlook, including strains in global financial markets. The Committee also anticipates that inflation will settle, over coming quarters, at levels at or below those consistent with the Committee's dual mandate as the effects of past energy and other commodity price increases dissipate further. However, the Committee will continue to pay close attention to the evolution of inflation and inflation expectations.

To support a stronger economic recovery and to help ensure that inflation, over time, is at levels consistent with the dual mandate, the Committee decided today to extend the average maturity of its holdings of securities. The Committee intends to purchase, by the end of June 2012, $400 billion of Treasury securities with remaining maturities of 6 years to 30 years and to sell an equal amount of Treasury securities with remaining maturities of 3 years or less. This program should put downward pressure on longer-term interest rates and help make broader financial conditions more accommodative. The Committee will regularly review the size and composition of its securities holdings and is prepared to adjust those holdings as appropriate.

To help support conditions in mortgage markets, the Committee will now reinvest principal payments from its holdings of agency debt and agency mortgage-backed securities in agency mortgage-backed securities. In addition, the Committee will maintain its existing policy of rolling over maturing Treasury securities at auction.

The Committee also decided to keep the target range for the federal funds rate at 0 to 1/4 percent and currently anticipates that economic conditions--including low rates of resource utilization and a subdued outlook for inflation over the medium run--are likely to warrant exceptionally low levels for the federal funds rate at least through mid-2013.

The Committee discussed the range of policy tools available to promote a stronger economic recovery in a context of price stability. It will continue to assess the economic outlook in light of incoming information and is prepared to employ its tools as appropriate.”

The FOMC decided at its meeting on Jun 20, 2012, to continue “Let’s Twist Again” monetary policy until the end of 2012 (http://www.federalreserve.gov/newsevents/press/monetary/20120620a.htm http://www.newyorkfed.org/markets/opolicy/operating_policy_120620.html):

“The Committee also decided to continue through the end of the year its program to extend the average maturity of its holdings of securities. Specifically, the Committee intends to purchase Treasury securities with remaining maturities of 6 years to 30 years at the current pace and to sell or redeem an equal amount of Treasury securities with remaining maturities of approximately 3 years or less. This continuation of the maturity extension program should put downward pressure on longer-term interest rates and help to make broader financial conditions more accommodative. The Committee is maintaining its existing policy of reinvesting principal payments from its holdings of agency debt and agency mortgage-backed securities in agency mortgage-backed securities. The Committee is prepared to take further action as appropriate to promote a stronger economic recovery and sustained improvement in labor market conditions in a context of price stability.”

IA3 Evidence. There are multiple empirical studies on the effectiveness of quantitative easing that have been covered in past posts such as (Andrés et al. 2004, D’Amico and King 2010, Doh 2010, Gagnon et al. 2010, Hamilton and Wu 2010). On the basis of simulations of quantitative easing with the FRB/US econometric model, Chung et al (2011, 28-9) find that:

”Lower long-term interest rates, coupled with higher stock market valuations and a lower foreign exchange value of the dollar, provide a considerable stimulus to real activity over time. Phase 1 of the program by itself is estimated to boost the level of real GDP almost 2 percent above baseline by early 2012, while the full program raises the level of real GDP almost 3 percent by the second half of 2012. This boost to real output in turn helps to keep labor market conditions noticeably better than they would have been without large scale asset purchases. In particular, the model simulations suggest that private payroll employment is currently 1.8 million higher, and the unemployment rate ¾ percentage point lower, that would otherwise be the case. These benefits are predicted to grow further over time; by 2012, the incremental contribution of the full program is estimated to be 3 million jobs, with an additional 700,000 jobs provided by the most recent phase of the program alone.”

An additional conclusion of these simulations is that quantitative easing may have prevented actual deflation. Empirical research is continuing.

IA4 Unwinding Strategy. Fed Vice-Chair Yellen (2011AS) considers four concerns on quantitative easing discussed below in turn. First, Excessive Inflation. Yellen (2011AS, 9-12) considers concerns that quantitative easing could result in excessive inflation because fast increases in aggregate demand from quantitative easing could raise the rate of inflation, posing another problem of adjustment with tighter monetary policy or higher interest rates. The Fed estimates significant slack of resources in the economy as measured by the difference of four percentage points between the high current rate of unemployment above 9 percent and the NAIRU (non-accelerating rate of unemployment) of 5.75 percent (Ibid, 2). Thus, faster economic growth resulting from quantitative easing would not likely result in upward trend of costs as resources are bid up competitively. The Fed monitors frequently slack indicators and is committed to maintaining inflation at a “level of 2 percent or a bit less than that” (Ibid, 13), say, in the narrow open interval (1.9, 2.1).

Second, Inflation and Bank Reserves. On Jan 12, 2012, the line “Reserve Bank credit” in the Fed balance sheet stood at $2450.6 billion, or $2.5 trillion, with the portfolio of long-term securities of $2175.7 billion, or $2.2 trillion, composed of $987.6 billion of notes and bonds, $49.7 billion of inflation-adjusted notes and bonds, $146.3 billion of Federal agency debt securities, and $992.1 billion of mortgage-backed securities; reserves balances with Federal Reserve Banks stood at $1095.5 billion, or $1.1 trillion (http://federalreserve.gov/releases/h41/current/h41.htm#h41tab1). The concern addressed by Yellen (2011AS, 12-4) is that this high level of reserves could eventually result in demand growth that could accelerate inflation. Reserves would be excessively high relative to the levels before the recession. Reserves of depository institutions at the Federal Reserve Banks rose from $45.6 billion in Aug 2008 to $1084.8 billion in Aug 2010, not seasonally adjusted, multiplying by 23.8 times, or to $1038.2 billion in Nov 2010, multiplying by 22.8 times. The monetary base consists of the monetary liabilities of the government, composed largely of currency held by the public plus reserves of depository institutions at the Federal Reserve Banks. The monetary base not seasonally adjusted, or issue of money by the government, rose from $841.1 billion in Aug 2008 to $1991.1 billion or by 136.7 percent and to $1968.1 billion in Nov 2010 or by 133.9 percent (http://federalreserve.gov/releases/h3/hist/h3hist1.pdf). Policy can be viewed as creating government monetary liabilities that ended mostly in reserves of banks deposited at the Fed to purchase $2.1 trillion of long-term securities or assets, which in nontechnical language would be “printing money” (http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html). The marketable debt of the US government in Treasury securities held by the public stood at $8.7 trillion on Nov 30, 2010 (http://www.treasurydirect.gov/govt/reports/pd/mspd/2010/opds112010.pdf). The current holdings of long-term securities by the Fed of $2.1 trillion, in the process of converting fully into Treasury securities, are equivalent to 24 percent of US government debt held by the public, and would represent 29.9 percent with the new round of quantitative easing if all the portfolio of the Fed, as intended, were in Treasury securities. Debt in Treasury securities held by the public on Dec 31, 2009, stood at $7.2 trillion (http://www.treasurydirect.gov/govt/reports/pd/mspd/2009/opds122009.pdf), growing on Nov 30, 2010, to $1.5 trillion or by 20.8 percent. In spite of this growth of bank reserves, “the 12-month change in core PCE [personal consumption expenditures] prices dropped from about 2 ½ percent in mid-2008 to around 1 ½ percent in 2009 and declined further to less than 1 percent by late 2010” (Yellen 2011AS, 3). The PCE price index, excluding food and energy, is around 0.8 percent in the past 12 months, which could be, in the Fed’s view, too close for comfort to negative inflation or deflation. Yellen (2011AS, 12) agrees “that an accommodative monetary policy left in place too long can cause inflation to rise to undesirable levels” that would be true whether policy was constrained or not by “the zero bound on interest rates.” The FOMC is monitoring and reviewing the “asset purchase program regularly in light of incoming information” and will “adjust the program as needed to meet its objectives” (Ibid, 12). That is, the FOMC would withdraw the stimulus once the economy is closer to full capacity to maintain inflation around 2 percent. In testimony at the Senate Committee on the Budget, Chairman Bernanke stated that “the Federal Reserve has all the tools its needs to ensure that it will be able to smoothly and effectively exit from this program at the appropriate time” (http://federalreserve.gov/newsevents/testimony/bernanke20110107a.htm). The large quantity of reserves would not be an obstacle in attaining the 2 percent inflation level. Yellen (2011A, 13-4) enumerates Fed tools that would be deployed to withdraw reserves as desired: (1) increasing the interest rate paid on reserves deposited at the Fed currently at 0.25 percent per year; (2) withdrawing reserves with reverse sale and repurchase agreement in addition to those with primary dealers by using mortgage-backed securities; (3) offering a Term Deposit Facility similar to term certificates of deposit for member institutions; and (4) sale or redemption of all or parts of the portfolio of long-term securities. The Fed would be able to increase interest rates and withdraw reserves as required to attain its mandates of maximum employment and price stability.

Third, Financial Imbalances. Fed policy intends to lower costs to business and households with the objective of stimulating investment and consumption generating higher growth and employment. Yellen (2011A, 14-7) considers a possible consequence of excessively reducing interest rates: “a reasonable fear is that this process could go too far, encouraging potential borrowers to employ excessive leverage to take advantage of low financing costs and leading investors to accept less compensation for bearing risks as they seek to enhance their rates of return in an environment of very low yields. This concern deserves to be taken seriously, and the Federal Reserve is carefully monitoring financial indicators for signs of potential threats to financial stability.” Regulation and supervision would be the “first line of defense” against imbalances threatening financial stability but the Fed would also use monetary policy to check imbalances (Yellen 2011AS, 17).

Fourth, Adverse Effects on Foreign Economies. The issue is whether the now recognized dollar devaluation would promote higher growth and employment in the US at the expense of lower growth and employment in other countries.

IC United States Commercial Banks Assets and Liabilities. Selected assets and liabilities of US commercial banks, not seasonally adjusted, in billions of dollars, from Report H.8 of the Board of Governors of the Federal Reserve System are in Table I-1. Data are not seasonally adjusted to permit comparison between Feb 2013 and Feb 2014. Total assets of US commercial banks grew 7.2 percent from $13,275.3 billion in Feb 2013 to $14,226.3 billion in Feb 2014. US GDP in 2013 is estimated at $16,799.7 billion (http://www.bea.gov/iTable/index_nipa.cfm). Thus, total assets of US commercial banks are equivalent to around 85 percent of US GDP. Bank credit grew 2.0 percent from $9991.1 billion in Feb 2013 to $10,187.4 billion in Feb 2014. Securities in bank credit increased 0.5 percent from $2720.7 billion in Feb 2013 to $2734.5billion in Feb 2014. A large part of securities in banking credit consists of US Treasury and agency securities, falling 1.5 percent from $1856.9 billion in Feb 2013 to $1828.9 billion in Feb 2014. Credit to the government that issues or backs Treasury and agency securities of $1828.9 billion in Feb 2014 is about 18.0 percent of total bank credit of US commercial banks of $10,187.4 billion. Mortgage-backed securities, providing financing of home loans, fell 0.4 percent, from $1337.2 billion in Feb 2013 to $1331.4 billion in Feb 2014. Loans and leases are relatively more dynamic, growing 2.5 percent from $7270.4 billion in Feb 2013 to $7453.0 billion in Feb 2014. The only dynamic class is commercial and industrial loans, growing 9.2 percent from Feb 2013 to Feb 2014 and providing $1651.3billion or 22.2 percent of total loans and leases of $7453.5 billion in Feb 2014. Real estate loans decreased 0.5 percent, providing $3529.6 billion in Feb 2014 or 47.4 percent of total loans and leases. Consumer loans increased 2.3 percent, providing $1146.9 billion in Feb 2014 or 15.4 percent of total loans. Cash assets are measured to “include vault cash, cash items in process of collection, balances due from depository institutions and balances due from Federal Reserve Banks” (http://www.federalreserve.gov/releases/h8/current/default.htm). Cash assets in US commercial banks increased 46.6 percent from $1853.9 billion in Feb 2013 to $2717.4 billion in Feb 2014 but a single year of the series masks exploding cash in banks because of unconventional monetary policy, which is discussed below. Bank deposits increased 7.0 percent from $9261.3 billion in Feb 2013 to $9913.8 billion in Feb 2014. The difference between bank deposits and total loans and leases in banks increased from $1990.9 billion in Feb 2013 to $2460.8 billion in Feb 2014 or by $469.9 billion. Securities in bank credit increased by $13.8 billion from $2720.7 billion in Feb 2013 to $2734.5 billion in Feb 2014 and Treasury and agency securities decreased by $28.0 billion from $1856.9 billion in Feb 2013 to $1828.9 billion in Feb 2014. Loans and leases increased $182.6 billion from $7270.4 billion in Feb 2013 to $7453.0 billion in Feb 2014. Banks expanded both lending and investment in lower risk securities partly because of the weak economy and credit disappointments during the global recession that has resulted in an environment of fewer sound lending opportunities. Investing in securities with high duration, or price elasticity of yields, is riskier because of the increase in yields that can cause loss of principal as investors shift away from bond funds into money market funds invested in short-term assets. Lower interest rates resulting from monetary policy may not necessarily encourage higher borrowing in the current loss of dynamism of the US economy with real disposable income per capita in IVQ2013 higher by only 3.1 percent than in IVQ2007 (Table IB-2 IX Conclusion and extended analysis in IB Collapse of United States Dynamism of Income Growth and Employment Creation) in contrast with 13.2 percent higher if the economy had performed in long-term growth of per capita income in the United States at 2 percent per year from 1870 to 2010 (Lucas 2011May). In contrast, growth of real disposable income per capita grew cumulatively 16.6 percent in the cycle from IQ1980 to IIQ1987 that was close to trend growth of 16.6 percent.

Table I-1, US, Assets and Liabilities of Commercial Banks, NSA, Billions of Dollars

	Feb 2013	Feb 2014	∆%
Total Assets	13,275.3	14,226.3	7.2
Bank Credit	9991.1	10,187.4	2.0
Securities in Bank Credit	2720.7	2734.5	0.5
Treasury & Agency Securities	1856.9	1828.9	-1.5
Mortgage-Backed Securities	1337.2	1331.4	-0.4
Loans & Leases	7270.4	7453.0	2.5
Real Estate Loans	3549.1	3529.6	-0.5
Commercial Real Estate Loans	1429.6	1507.4	5.4
Consumer Loans	1121.3	1146.9	2.3
Commercial & Industrial Loans	1512.3	1651.3	9.2
Other Loans & Leases	1087.7	1125.1	3.4
Cash Assets*	1853.9	2717.4	46.6
Total Liabilities	11,765.8	12,684.7	7.8
Deposits	9261.3	9913.8	7.0
Residual (Assets less Liabilities)	1509.5	1541.6	NA

Note: balancing item of residual assets less liabilities not included

*”Includes vault cash, cash items in process of collection, balances due from depository institutions and balances due from Federal Reserve Banks.”

Source: Board of Governors of the Federal Reserve System

Benchmarked to Sep 2013

http://www.federalreserve.gov/releases/h8/20140321/

http://www.federalreserve.gov/releases/h8/20140321/

Seasonally adjusted annual equivalent rates (SAAR) of change of selected assets and liabilities of US commercial banks from the report H.8 of the Board of Governors of the Federal Reserve System are in Table I-2 annually from 2009 to 2013 and for Jan 2014 and Feb 2014. The global recession had strong impact on bank assets as shown by declines of total assets of 6.0 percent in 2009 and 2.6 percent in 2010. Loans and leases fell 10.2 percent in 2009 and 5.7 percent in 2010. Commercial and industrial loans fell 18.4 percent in 2009 and 8.9 percent in 2010. Unconventional monetary policy caused an increase of cash assets of banks of 159.2 percent in 2008, 49.5 percent in 2009 and 47.7 percent in 2011 followed by decline by 2.2 percent in 2012. Cash assets of banks increased 55.2 percent in 2013. Cash assets of banks increased at the SAAR of 22.5 percent in Aug 2012 but contraction by 49.6 percent in Sep 2012 and 6.3 percent in Oct 2012. Cash assets of banks increased at 56.0 percent in Nov 2012, minus 7.8 percent in Dec 2012, 38.8 percent in Jan 2013, 66.2 percent in Feb 2013, 66.0 percent in Mar 2013 and 14.5 percent in Apr 2013. Cash assets of banks increased at the SAAR of 63.2 percent in May 2013, 42.4 percent in Jun 2013, 28.6 percent in Jul 2013, 71.5 percent in Aug 2013, 57.5 percent in Sep 2013 and 50.2 percent in Oct 2013. Cash assets of banks increased at the rate of 29.0 percent in Nov 2013 and fell at 1.5 percent in Dec 2013. Cash assets of banks increased at 20.1 percent in Jan 2014 and at 21.7 percent in Feb 2014. Acquisitions of securities for the portfolio of the central bank injected reserves in depository institutions that banks held as cash and reserves at the central bank because of the lack of sound lending opportunities and the adverse expectations in the private sector on doing business. The truly dynamic investment of banks has been in securities in bank credit: growing at the SAAR of 15.4 percent in Jul 2012, 2.6 percent in Aug 2012, 5.3 percent in Sep 2012, 4.7 percent in Oct 2012, 1.7 percent in Nov 2012 and 20.5 percent in Dec 2012. There were declines of securities in bank credit at 1.1 percent in Jan 2013, 3.2 percent in Feb 2013 and 2.7 percent in Mar 2013 but growth of 1.5 percent in Apr 2013. Securities in bank credit fell at the SAAR of 2.6 percent in May 2013 and 5.7 percent in Jun 2013. Securities in bank credit fell at the SAAR of 11.9 percent in Jul 2013 and at 8.3 percent in Aug 2013. Securities in bank credit fell at the SAAR of 6.8 percent in Sep 2013 and increased at 3.0 percent in Oct 2013. Securities in bank credit increased at 5.2 percent in Nov 2013 and at 10.5 percent in Dec 2013. Securities in bank credit increased at 3.2 percent in Jan 2014 and at 5.7 percent in Feb 2014. Fear of loss of principal in securities with high duration or price elasticity of yield is shifting investments away from bonds into cash and other assets with less price risk. Positions marked to market in balance sheets experience sharp declines. Throughout the crisis banks allocated increasing part of their assets to the safety of Treasury and agency securities, or credit to the US government and government-backed credit: with growth of 13.5 percent in 2009 and 15.2 percent in 2010 and at the rate of 16.3 percent in Jul 2012, declining to the rate of 3.4 percent in Aug 2012, 2.1 percent in Sep 2012 and 0.7 percent in Oct 2012. Treasury and agency securities in bank credit fell at the rate of 0.8 percent in Nov 2012, increasing at 17.2 percent in Dec 2012. Treasury and agency securities in bank credit fell at 5.9 percent in Jan 2013, 3.1 percent in Feb 2013, 7.0 percent in Mar 2013 and 5.4 percent in Apr 2013 and 8.3 percent in May 2013. Treasury and agency securities in US commercial banks fell at the SAAR of 6.8 percent in Jun 2013, 19.7 percent in Jul 2013 and 15.7 percent in Aug 2013. Treasury and agency securities fell at the SAAR of 5.6 percent in Sep 2013 and increased at 1.3 percent in Oct 2013. Treasury and agency securities increased at 5.6 percent in Nov 2013 and at 8.9 percent in Dec 2013. Treasury and agency securities increased at 4.0 percent in Jan 2014 and at 7.7 percent in Feb 2014. Increases in yield result in capital losses that may explain less interest in holding securities with higher duration. Deposits grew at the rate of 10.5 percent in Jul 2012, with the rate declining as for most assets of commercial banks to the rate of 6.2 percent in Aug 2012 but increasing to 7.2 percent in Sep 2012, 8.4 percent in Oct 2012, 5.7 percent in Nov 2012, 18.7 percent in Dec 2012, 2.7 percent in Jan 2013. Deposits grew at the rate of 4.4 percent in Feb 2013, 7.7 percent in Mar 2013, 3.5 percent in Apr 2013 and 2.4 percent in May 2013. Deposits increased at the SAAR of 6.3 percent in Jun 2013, 8.0 percent in Jul 2013 and 3.5 percent in Aug 2013. Deposits grew at the rate of 7.2 percent in Sep 2013 and at 9.0 percent in Oct 2013. Deposits grew at 9.1 percent in Nov 2013 and at 8.7 percent in Dec 2013. Deposits increased at 8.7 percent in Jan 2014 and at 9.5 percent in Feb 2014. The credit intermediation function of banks is broken because of adverse expectations on future business and cannot be fixed by monetary and fiscal policy. Incentives to business and consumers are more likely to be effective in this environment in recovering willingness to assume risk on the part of the private sector, which is the driver of growth and job creation.

Table I-2, US, Selected Assets and Liabilities of Commercial Banks, at Break Adjusted, Seasonally Adjusted Annual Rate, ∆%

	2009	2010	2011	2012	2013	Jan  2014	Feb   2014
Total Assets	-6.0	-2.6	5.3	2.6	7.2	7.2	10.1
Bank Credit	-6.7	-2.6	1.8	4.0	1.1	3.5	8.0
Securities in Bank Credit	6.2	6.9	1.8	7.5	-1.9	3.2	5.7
Treasury & Agency Securities	13.5	15.2	3.0	8.6	-5.6	4.0	7.7
Other Securities	-4.3	-7.2	-0.7	5.2	6.5	-1.6	1.4
Loans & Leases	-10.2	-5.7	1.7	2.8	2.2	3.6	8.9
Real Estate Loans	-5.7	-5.6	-3.7	-1.1	-1.0	0.7	2.5
Commercial Real Estate Loans	-4.7	-8.9	-6.3	-1.2	4.4	5.4	6.4
Consumer Loans	-3.2	-6.8	-1.2	1.2	3.5	0.2	2.7
Commercial & Industrial Loans	-18.4	-8.9	8.6	11.4	7.7	6.5	26.4
Other Loans & Leases	-23.0	0.4	20.1	6.9	4.4	12.0	9.9
Cash Assets	49.5	-7.8	47.7	-2.2	55.2	20.1	21.7
Total Liabilities	-7.1	-3.3	5.5	2.3	8.1	8.8	8.5
Deposits	5.2	2.4	6.7	7.1	6.4	8.7	9.5

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-1 of the Board of Governors of the Federal Reserve System provides quarterly seasonally adjusted annual rates (SAAR) of cash assets in US commercial banks from 1973 to 2014. Unconventional monetary policy caused an increase in cash assets in late 2008 of close to 500 percent at SAAR and also in following policy impulses. Such aggressive policies were not required for growth of GDP at the average rate of 5.0 percent in 17 quarters of cyclical expansion from IQ1983 to IQ1987 while the average rate in 18 quarters of cyclical expansion from IIIQ2009 to IVQ2013 has been at the rate of 2.4 percent (Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html). The difference in magnitude of the recessions is not sufficient to explain weakness of the current cyclical expansion. Bordo (2012Sep27) and Bordo and Haubrich (2012DR) find that growth is higher after deeper contractions and contractions with financial crises. There were two consecutive contractions in the 1980s with decline of 2.2 percent in two quarters from IQ1980 to IIIQ1980 and 2.5 percent from IIIQ1981 to IVQ1982 that are almost identical to the contraction of 4.3 percent from IVQ2007 to IIQ2009. There was also a decade-long financial and banking crisis during the 1980s. The debt crisis of 1982 (Pelaez 1986) wiped out a large part of the capital of large US money-center banks. Benston and Kaufman (1997, 139) find that there was failure of 1150 US commercial and savings banks between 1983 and 1990, or about 8 percent of the industry in 1980, which is nearly twice more than between the establishment of the Federal Deposit Insurance Corporation in 1934 through 1983. More than 900 savings and loans associations, representing 25 percent of the industry, were closed, merged or placed in conservatorships (see Pelaez and Pelaez, Regulation of Banks and Finance (2008b), 74-7). The Financial Institutions Reform, Recovery and Enforcement Act of 1989 (FIRREA) created the Resolution Trust Corporation (RTC) and the Savings Association Insurance Fund (SAIF) that received $150 billion of taxpayer funds to resolve insolvent savings and loans. The GDP of the US in 1989 was $5657.7 billion (http://www.bea.gov/iTable/index_nipa.cfm), such that the partial cost to taxpayers of that bailout was around 2.65 percent of GDP in a year. US GDP in 2013 is estimated at $16,799.7 billion, such that the bailout would be equivalent to cost to taxpayers of about $445.2 billion in current GDP terms. A major difference with the Troubled Asset Relief Program (TARP) for private-sector banks is that most of the costs were recovered with interest gains whereas in the case of savings and loans there was no recovery.

Chart I-1, US, Cash Assets, Commercial Banks, Seasonally Adjusted Annual Rate, Monthly, 1973-2014, ∆%

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-2 of the Board of Governors of the Federal Reserve System provides quarterly SAARs of bank credit at US commercial banks from 1973 to 2014. Rates collapsed sharply during the global recession as during the recessions of the 1980s and then rebounded. In both episodes, rates of growth of bank credit did not return to earlier magnitudes.

Chart I-2, US, Bank Credit, Commercial Banks, Seasonally Adjusted Annual Rate, Monthly, 1947-2014, ∆%

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-3 of the Board of Governors of the Federal Reserve System provides deposits at US commercial banks from 1973 to 2014. Deposits fell sharp during and after the global recession but then rebounded in the cyclical expansion.

Chart I-3, US, Deposits, Commercial Banks, Seasonally Adjusted Annual Rate, Monthly, 1973-2014, ∆%

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

There is similar behavior in the 1980s and in the current cyclical expansion of SAARs holdings of Treasury and agency securities in US commercial banks provided in Chart I-4 of the Board of Governors of the Federal Reserve System for the period 1973 to 2014. Sharp reductions of holdings during the contraction were followed by sharp increases.

Chart I-4, US, Treasury and Agency Securities in Bank Credit, Commercial Banks, Seasonally Adjusted Annual Rate, Monthly, 1947-2014, ∆%

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-5 of the Board of Governors of the Federal Reserve System provides SAARs of change of total loans and leases in US commercial banks from 1973 to 2014. The decline of SAARs in the current cycle was much sharper and the rebound did not recover earlier growth rates. Part of the explanation originates in demand for loans that was high during rapid economic growth at 5.0 percent per year on average in the cyclical expansion of the 1980s in contrast with lower demand during tepid economic growth at 2.4 percent per year on average in the current weak expansion.

Chart I-5, US, Loans and Leases in Bank Credit, Commercial Banks, Seasonally Adjusted Annual Rate, Monthly, 1947-2014, ∆%

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

There is significant difference in the two cycles of the 1980s and the current one in quarterly SAARs of real estate loans in US commercial banks provided in Chart I-6 of the Board of Governors of the Federal Reserve System. The difference is explained by the debacle in real estate after 2006 compared to expansion during the 1980s even in the midst of the crisis of savings and loans and real estate credit. In both cases, government policy tried to influence recovery and avoid market clearing.

Chart I-6, US, Real Estate Loans in Bank Credit, Commercial Banks, Seasonally Adjusted Annual Rate, Monthly, 1947-2014, ∆%

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

There is significant difference in quarterly SAARs of change of consumer loans in US commercial banks in the 1980s and during the current cycle as shown in Chart I-7 of the Board of Governors of the Federal Reserve System. Quarterly SAARs of consumer loans in US commercial banks fell sharply during the contraction of 1980 and oscillated with upward trend during the contraction of 1983-1984 but increased sharply in the cyclical expansion. In contrast, SAARs of consumer loans in US commercial banks collapsed to high negative magnitudes during the contraction and have increased at very low magnitudes during the current cyclical expansion.

Chart I-7, US, Consumer Loans in Bank Credit, Commercial Banks, Seasonally Adjusted Annual Rate, Monthly, 1958-2014, ∆%

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Lucas (2011May) estimates US economic growth in the long-term at 3 percent per year and about 2 percent per year in per capita terms. There are displacements from this trend caused by events such as wars and recessions but the economy grows much faster during the expansion, compensating for the contraction and maintaining trend growth over the entire cycle. Historical US GDP data exhibit remarkable growth: Lucas (2011May) estimates an increase of US real income per person by a factor of 12 in the period from 1870 to 2010. The explanation by Lucas (2011May) of this remarkable growth experience is that government provided stability and education while elements of “free-market capitalism” were an important driver of long-term growth and prosperity. Lucas sharpens this analysis by comparison with the long-term growth experience of G7 countries (US, UK, France, Germany, Canada, Italy and Japan) and Spain from 1870 to 2010. Countries benefitted from “common civilization” and “technology” to “catch up” with the early growth leaders of the US and UK, eventually growing at a faster rate. Significant part of this catch up occurred after World War II. Lucas (2011May) finds that the catch up stalled in the 1970s. The analysis of Lucas (2011May) is that the 20-40 percent gap that developed originated in differences in relative taxation and regulation that discouraged savings and work incentives in comparison with the US. A larger welfare and regulatory state, according to Lucas (2011May), could be the cause of the 20-40 percent gap. Cobet and Wilson (2002) provide estimates of output per hour and unit labor costs in national currency and US dollars for the US, Japan and Germany from 1950 to 2000 (see Pelaez and Pelaez, The Global Recession Risk (2007), 137-44). The average yearly rate of productivity change from 1950 to 2000 was 2.9 percent in the US, 6.3 percent for Japan and 4.7 percent for Germany while unit labor costs in USD increased at 2.6 percent in the US, 4.7 percent in Japan and 4.3 percent in Germany. From 1995 to 2000, output per hour increased at the average yearly rate of 4.6 percent in the US, 3.9 percent in Japan and 2.6 percent in Germany while unit labor costs in USD fell at minus 0.7 percent in the US, 4.3 percent in Japan and 7.5 percent in Germany. There was increase in productivity growth in Japan and France within the G7 in the second half of the 1990s but significantly lower than the acceleration of 1.3 percentage points per year in the US. The key indicator of growth of real income per capita, which is what a person earns after inflation, measures long-term economic growth and prosperity. A refined concept would include real disposable income per capita, which is what a person earns after inflation and taxes.

Table IB-1 provides the data required for broader comparison of long-term and cyclical performance of the United States economy. Revisions and enhancements of United States GDP and personal income accounts by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm) provide important information on long-term growth and cyclical behavior. First, Long-term performance. Using annual data, US GDP grew at the average rate of 3.3 percent per year from 1929 to 2013 and at 3.2 percent per year from 1947 to 2013. Real disposable income grew at the average yearly rate of 3.2 percent from 1929 to 2013 and at 3.7 percent from 1947 to 1999. Real disposable income per capita grew at the average yearly rate of 2.0 percent from 1929 to 2013 and at 2.3 percent from 1947 to 1999. US economic growth was much faster during expansions, compensating contractions in maintaining trend growth for whole cycles. Using annual data, US real disposable income grew at the average yearly rate of 3.5 percent from 1980 to 1989 and real disposable income per capita at 2.6 percent. The US economy has lost its dynamism in the current cycle: real disposable income grew at the yearly average rate of 1.3 percent from 2006 to 2013 and real disposable income per capita at 0.5 percent. Real disposable income grew at the average rate of 1.2 percent from 2007 to 2013 and real disposable income per capita at 0.4 percent. Table IB-1 illustrates the contradiction of long-term growth with the proposition of secular stagnation (Hansen 1938, 1938, 1941 with early critique by Simons (1942). Secular stagnation would occur over long periods. Table IB-1 also provides the corresponding rates of population growth that is only marginally lower at 0.8 to 0.9 percent recently from 1.1 percent over the long-term. GDP growth fell abruptly from 2.6 percent on average from 2000 to 2006 to 1.1 percent from 2006 to 2013 and 1.0 percent from 2007 to 2013 and real disposable income growth fell from 2.9 percent on average from 2000 to 2006 to 1.3 percent from 2006 to 2013. The decline of real per capita disposable income is even sharper from average 2.0 percent from 2000 to 2006 to 0.5 percent from 2006 to 2013 and 0.4 percent from 2007 to 2013 while population growth was 0.8 percent on average. Lazear and Spletzer (2012JHJul122) provide theory and measurements showing that cyclic factors explain currently depressed labor markets. This is also the case of the overall economy. Second, first four quarters of expansion. Growth in the first four quarters of expansion is critical in recovering loss of output and employment occurring during the contraction. In the first four quarters of expansion from IQ1983 to IVQ1983: GDP increased 7.8 percent, real disposable personal income 5.3 percent and real disposable income per capita 4.4 percent. In the first four quarters of expansion from IIIQ2009 to IIQ2010: GDP increased 2.7 percent, real disposable personal income 0.3 percent and real disposable income per capita decreased 0.5 percent. Third, first 18 quarters of expansion. In the expansion from IQ1983 to IIQ1987: GDP grew 24.5 percent at the annual equivalent rate of 5.0 percent; real disposable income grew 18.3 percent at the annual equivalent rate of 3.8 percent; and real disposable income per capita grew 13.7 percent at the annual equivalent rate of 2.9 percent. In the expansion from IIIQ2009 to IVQ2013: GDP grew 11.0 percent at the annual equivalent rate of 2.4 percent; real disposable income grew 6.4 percent at the annual equivalent rate of 1.4 percent; and real disposable personal income per capita grew 2.9 percent at the annual equivalent rate of 0.6 percent. Fourth, entire quarterly cycle. In the entire cycle combining contraction and expansion from IQ1980 to IIQ1987: GDP grew 24.3 percent at the annual equivalent rate of 2.8 percent; real disposable personal income 25.2 percent at the annual equivalent rate of 2.9 percent; and real disposable personal income per capita 16.7 percent at the annual equivalent rate of 2.0 percent. In the entire cycle combining contraction and expansion from IVQ2007 to IVQ2013: GDP grew 6.2 percent at the annual equivalent rate of 1.0 percent; real disposable personal income 8.1 percent at the annual equivalent rate of 1.3 percent; and real disposable personal income per capita 3.1 percent at the annual equivalent rate of 0.5 percent. The United States grew during its history at high rates of per capita income that made its economy the largest in the world. That dynamism is disappearing. Bordo (2012 Sep27) and Bordo and Haubrich (2012DR) provide strong evidence that recoveries have been faster after deeper recessions and recessions with financial crises, casting serious doubts on the conventional explanation of weak growth during the current expansion allegedly because of the depth of the contraction of 4.3 percent from IVQ2007 to IIQ2009 and the financial crisis. The proposition of secular stagnation should explain a long-term process of decay and not the actual abrupt collapse of the economy and labor markets currently.

Table I-3, US, GDP, Real Disposable Personal Income, Real Disposable Income per Capita and Population in 1983-85 and 2007-2013, %

Long-term Average ∆% per Year	GDP	Population
1929-2013	3.3	1.1
1947-2013	3.2	1.2
1947-1999	3.6	1.3
2000-2013	1.8	0.9
2000-2006	2.6	0.9
2006-2013	1.1	0.8
2007-2013	1.0	0.8
Long-term Average ∆% per Year	Real Disposable Income	Real Disposable Income per Capita	Population
1929-2013	3.2	2.0	1.1
1947-1999	3.7	2.3	1.3
2000-2013	2.1	1.2	0.9
2000-2006	2.9	2.0	0.9
2006-2013	1.3	0.5	0.8
2007-2013	1.2	0.4	0.8
Whole Cycles Average ∆% per Year
1980-1989	3.5	2.6	0.9
2006-2013	1.3	0.5	0.8
2007-2013	1.2	0.4	0.8
Comparison of Cycles	# Quarters	∆%	∆% Annual Equivalent
GDP
I83 to IV83 IQ83 to IQ87 IQ83 to IIQ87	4 17 18
I83 to IV83 I83 to IQ87 I83 to II87	4 17 18	7.8 23.1 24.5	7.8 5.0 5.0
RDPI
I83 to IV83 I83 to I87 I83 to II87	4 17 18	5.3 19.5 18.3	5.3 4.3 3.8
RDPI Per Capita
I83 to IV83 I83 to I87 I83 to II87	4 17 18	4.4 15.1 13.7	4.4 3.4 2.9
Whole Cycle IQ1980 to IIQ1987
GDP	31	24.3	2.8
RDPI	31	25.2	2.9
RDPI per Capita	31	16.7	2.0
Population	31	7.3	0.9
GDP
III09 to II10 III09 to IV13	4 18	2.7 11.0	2.7 2.4
RDPI
III09 to II10 III09 to IV13	4 18	0.3 6.4	0.3 1.4
RDPI per Capita
III09 to II10 II09 to IVQ13	4 18	-0.5 2.9	-0.5 0.6
Population
II09 to II010 II09 to IV13	4 18	0.8 3.4	0.8 0.8
IVQ2007 to IVQ2013	25
GDP	25	6.2	1.0
RDPI	25	8.1	1.3
RDPI per Capita	25	3.1	0.5
Population	25	4.8	0.8

RDPI: Real Disposable Personal Income

Source: US Bureau of Economic Analysis http://www.bea.gov/iTable/index_nipa.cfm

Chart I-8 of the Board of Governors of the Federal Reserve System provides cash assets in commercial banks not seasonally adjusted in billions of dollars from 1973 to 2014. Increases in bank cash reserves processed acquisitions of securities for the portfolio of the central bank. There is no comparable experience in US economic history and such flood of money was never required to return US economic growth to trend of 3 percent per year and 2 percent per year in per capita income after events such as recessions and wars (Lucas 2011May). It is difficult to argue that higher magnitudes of monetary and fiscal policy impulses would have been more successful. Discovery of such painless and fast adjustment by gigantic impulses of monetary policy of zero interest rates and trillions of dollars of bond buying would have occurred earlier with prior cases of successful implementation. Selective incentives to the private sector of a long-term nature could have been more effective.

Chart I-8, US, Cash Assets in Commercial Banks, Not Seasonally Adjusted, Monthly, 1973-2014, Billions of Dollars

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-9 of the Board of Governors of the Federal Reserve System provides total assets of Federal Reserve Banks in millions of dollars on Wednesdays from Dec 18, 2002 to Mar 19, 2014. This is what is referred as the leverage of the central bank balance sheet in monetary policy (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 157-62, Regulation of Banks and Finance (2009b) 224-27). Consecutive rounds of unconventional monetary policy increased total assets by purchase of mortgage-backed securities, agency securities and Treasury securities. Bank reserves in cash and deposited at the central bank swelled as shown in Chart IIC-8. The central bank created assets in the form of securities financed with creation of liabilities in the form of reserves of depository institutions.

Chart I-9, US, Total Assets of Federal Reserve Banks, Wednesday Level, Millions of Dollars, Dec 18, 2002 to Mar 19, 2013

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h41/current/h41.htm#h41tab1

Chart I-10 of the Board of Governors of the Federal Reserve System provides deposits in US commercial banks not seasonally adjusted in billions of dollars from 1973 to 2014. Deposit growth clearly accelerated after 2001 and continued during the current cyclical expansion after bumps during the global recession.

Chart I-10, US, Deposits in Commercial Banks, Not Seasonally Adjusted, Monthly, 1973-2014, Billions of Dollars

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-11 of the Board of Governors of the Federal Reserve System provides Treasury and agency securities in US commercial banks, not seasonally adjusted, in billions of dollars from 1947 to 2014. Holdings stabilized between the recessions of 2001 and after IVQ2007. There was rapid growth during the global contraction especially after unconventional monetary policy in 2008 and nearly vertical increase without prior similar historical experience during the various bouts of unconventional monetary policy. Banks hoard cash and less risky Treasury and agency securities instead of risky lending because of the weakness of the economy and the lack of demand for financing sound business projects. Banks and investors in general are avoiding exposures to high-duration fixed-income securities because of possible price losses during increases in yields. There is decline of bank holdings of Treasury and agency securities in the final segment with marginal recovery.

Chart I-11, US, Treasury and Agency Securities in Bank Credit, US Commercial Banks, Not Seasonally Adjusted, Monthly, 1947-2014, Billions of Dollars

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-12 of the Board of Governors of the Federal Reserve System provides total loans and leases in US commercial banks not seasonally adjusted in billions of dollars from 1947 to 2014. Total loans and leases of US commercial banks contracted sharply and have stalled during the cyclical expansion.

Chart I-12, US, Loans and Leases in Bank Credit, US Commercial Banks, Not Seasonally Adjusted, Monthly, 1947-2014, Billions of Dollars

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-13 of the Board of Governors of the Federal Reserve System provides real estate loans in US commercial banks not seasonally adjusted in billions of dollars from 1947 to 2014. Housing subsidies and low interest rates caused a point of inflexion to higher, nearly vertical growth until 2007. Real estate loans have contracted in downward trend partly because of adverse effects of uncertainty on the impact on balance sheets of the various mechanisms of resolution imposed by policy. Nick Timiraos, writing on “Push for cheaper credit hits wall,” on Dec 24, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324660404578197782701079650.html), provides important information and analysis on housing finance. Quantitative easing consists of withdrawing supply of mortgage-backed securities by acquiring them as assets in the Fed balance sheet. Lending banks obtain funds for mortgages by bundling them according to risk and other characteristics and selling them to investors, using the proceeds from the sale to provide the loans to homebuyers or refinancing homeowners. Banks earn net revenue to remunerate capital required for operations from the spread between the rate received from mortgage debtors and the rate implicit in the yield of the mortgage-backed securities. Nick Timiraos (Ibid) finds that the spread was around 0.5 percentage points before the financial crisis of 2007, widening to 1 percentage point after the crisis but jumping to 1.6 percentage points after the Fed engaged in another program of buying mortgage-backed securities, oscillating currently around 1.3 percentage points. The spread has widened because banks have higher costs originating in regulation, litigation on repurchasing defaulted mortgages, loss in case of default and more prudent but more costly scrutiny of property appraisals and income verification. As a result, even if quantitative easing does lower yields of mortgage-backed securities there would not be proportionate reduction in mortgage rates and even less likely construction and sales of houses.

Chart I-13, US, Real Estate Loans in Bank Credit, Not Seasonally Adjusted, Monthly, 1947-2014, Billions of Dollars

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-14 of the Board of Governors of the Federal Reserve System provides consumer loans in US commercial banks not seasonally adjusted in billions of dollars from 1947 to 2014. Consumer loans even increased during the contraction then declined and increased vertically to decline again. There was high demand for reposition of durable goods that exhausted and limited consumption again with increase in savings rates in recent periods.

Chart I-14, US, Consumer Loans in Bank Credit, Not Seasonally Adjusted, US Commercial Banks, Monthly, 1947-2014, Billions of Dollars

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-15 of the Board of Governors of the Federal Reserve System provides commercial and industrial loans not seasonally adjusted in billions of dollars from 1947 to 2014. Commercial and industrial loans fell sharply during both contractions in 2001 and after IVQ2007 and then rebounded with accelerated growth. Commercial and industrial loans have not reached again the peak during the global recession.

Chart I-15, US, Commercial and Industrial Loans in Bank Credit, US Commercial Banks, Not Seasonally Adjusted, Monthly, 1947-2014, Billions of Dollars

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

Chart I-16 is quite revealing in analyzing the state of bank credit in the US economy. The upper curves are (1) deposits and (2) loans and leases in bank credit. Historically since 1973, the level and rate of change of deposits and loans and leases in bank credit were almost identical. The lower two curves are Treasury and agency securities in bank credit and cash assets with treasury and agency securities moving closely with cash assets until the 1990s when Treasury and agency securities exceeded cash assets. The shaded area of the recession from IV2007 to IIQ2009 shows a break in the level and rate of movement of the series. Deposits continued to expand rapidly through the recession and the following expansion period. Loans and leases fell and barely recovered the level before the recession while deposits moved nearly vertically well above the level before the recession. While Treasury and agency securities in bank credit continued to expand at a higher rate, reaching a level well above that before the recession, cash assets jumped as the counterpart of excess reserves in banks that financed quantitative easing or massive outright purchases of securities for the balance sheet of the Fed. Unconventional monetary policy of zero interest rates and outright purchases of securities caused sharp increases of deposits, cash assets and Treasury and agency securities in bank credit but not in loans and leases. There is much discussion about the almost impossible task of evaluating monetary policy in terms of costs and benefits. Before the financial crisis, Chairman Greenspan (2004) analyzes monetary policy and its limitations (see Pelaez and Pelaez, The Global Recession Risk (2007), 13-4, 212-13) that do not differ from those of private financial institutions:

“The Federal Reserve’s experiences over the past two decades make it clear that uncertainty is not just a pervasive feature of the monetary policy landscape; it is the defining characteristic of that landscape. The term “uncertainty” is meant here to encompass both “Knightian uncertainty,” in which the probability distribution of outcomes is unknown, and “risk,” in which uncertainty of outcomes is delimited by a known probability distribution. In practice, one is never quite sure what type of uncertainty one is dealing with in real time, and it may be best to think of a continuum ranging from well-defined risks to the truly unknown.

As a consequence, the conduct of monetary policy in the United States has come to involve, at its core, crucial elements of risk management. This conceptual framework emphasizes understanding as much as possible the many sources of risk and uncertainty that policymakers face, quantifying those risks when possible, and assessing the costs associated with each of the risks. In essence, the risk management approach to monetary policymaking is an application of Bayesian decision making.

This framework also entails devising, in light of those risks, a strategy for policy directed at maximizing the probabilities of achieving over time our goals of price stability and the maximum sustainable economic growth that we associate with it. In designing strategies to meet our policy objectives, we have drawn on the work of analysts, both inside and outside the Fed, who over the past half century have devoted much effort to improving our understanding of the economy and its monetary transmission mechanism. A critical result has been the identification of a relatively small set of key relationships that, taken together, provide a useful approximation of our economy’s dynamics. Such an approximation underlies the statistical models that we at the Federal Reserve employ to assess the likely influence of our policy decisions.

However, despite extensive efforts to capture and quantify what we perceive as the key macroeconomic relationships, our knowledge about many of the important linkages is far from complete and, in all likelihood, will always remain so. Every model, no matter how detailed or how well designed, conceptually and empirically, is a vastly simplified representation of the world that we experience with all its intricacies on a day-to-day basis.

Given our inevitably incomplete knowledge about key structural aspects of an ever-changing economy and the sometimes asymmetric costs or benefits of particular outcomes, a central bank needs to consider not only the most likely future path for the economy but also the distribution of possible outcomes about that path. The decision makers then need to reach a judgment about the probabilities, costs, and benefits of the various possible outcomes under alternative choices for policy.”

Risk management tools are as likely to fail in private financial institutions as in central banks because of the difficulty of modeling risk during uncertainty. There is no such thing as riskless financial management. “Whale” trades at official institutions causing wide swings of financial and economic variables do not receive the same media attention as those in large private banking institutions such as the teapot storm over JP Morgan Chase.

Chart I-16, US, Deposits, Treasury and Government Securities in Bank Credit, Loans and Leases in Bank Credit and Cash Assets, US Commercial Banks, Not Seasonally Adjusted, Monthly, 1973-2014, Billions of Dollars

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h8/current/default.htm

ID Theory and Reality of Economic History, Cyclical Slow Growth Not Secular Stagnation and Monetary Policy Based on Fear of Deflation. Fear of deflation as had occurred during the Great Depression and in Japan was used as an argument for the first round of unconventional monetary policy with 1 percent interest rates from Jun 2003 to Jun 2004 and quantitative easing in the form of withdrawal of supply of 30-year securities by suspension of the auction of 30-year Treasury bonds with the intention of reducing mortgage rates (for fear of deflation see Pelaez and Pelaez, International Financial Architecture (2005), 18-28, and Pelaez and Pelaez, The Global Recession Risk (2007), 83-95). The financial crisis and global recession were caused by interest rate and housing subsidies and affordability policies that encouraged high leverage and risks, low liquidity and unsound credit (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 157-66, Regulation of Banks and Finance (2009b), 217-27, International Financial Architecture (2005), 15-18, The Global Recession Risk (2007), 221-5, Globalization and the State Vol. II (2008b), 197-213, Government Intervention in Globalization (2008c), 182-4). Several past comments of this blog elaborate on these arguments, among which: http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html http://cmpassocregulationblog.blogspot.com/2011/01/professor-mckinnons-bubble-economy.html http://cmpassocregulationblog.blogspot.com/2011/01/world-inflation-quantitative-easing.html http://cmpassocregulationblog.blogspot.com/2011/01/treasury-yields-valuation-of-risk.html http://cmpassocregulationblog.blogspot.com/2010/11/quantitative-easing-theory-evidence-and.html http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html

If the forecast of the central bank is of recession and low inflation with controlled inflationary expectations, monetary policy should consist of lowering the short-term policy rate of the central bank, which in the US is the fed funds rate. The intended effect is to lower the real rate of interest (Svensson 2003LT, 146-7). The real rate of interest, r, is defined as the nominal rate, i, adjusted by expectations of inflation, π*, with all variables defined as proportions: (1+r) = (1+i)/(1+π*) (Fisher 1930). If i, the fed funds rate, is lowered by the Fed, the numerator of the right-hand side is lower such that if inflationary expectations, π*, remain unchanged, the left-hand (1+r) decreases, that is, the real rate of interest, r, declines. Expectations of lowering short-term real rates of interest by policy of the Federal Open Market Committee (FOMC) fixing a lower fed funds rate would lower long-term real rates of interest, inducing with a lag investment and consumption, or aggregate demand, that can lift the economy out of recession. Inflation also increases with a lag by higher aggregate demand and inflation expectations (Fisher 1933). This reasoning explains why the FOMC lowered the fed funds rate in Dec 2008 to 0 to 0.25 percent and left it unchanged.

The fear of the Fed is expected deflation or negative π*. In that case, (1+ π*) < 1, and (1+r) would increase because the right-hand side of the equation would be divided by a fraction. A simple numerical example explains the effect of deflation on the real rate of interest. Suppose that the nominal rate of interest or fed funds rate, i, is 0.25 percent, or in proportion 0.25/100 = 0.0025, such that (1+i) = 1.0025. Assume now that economic agents believe that inflation will remain at 1 percent for a long period, which means that π* = 1 percent, or in proportion 1/100 =0.01. The real rate of interest, using the equation, is (1+0.0025)/(1+0.01) = (1+r) = 0.99257, such that r = 0.99257 - 1 = -0.00743, which is a proportion equivalent to –(0.00743)100 = -0.743 percent. That is, Fed policy has created a negative real rate of interest of 0.743 percent with the objective of inducing aggregate demand by higher investment and consumption. This is true if expected inflation, π*, remains at 1 percent. Suppose now that expectations of deflation become generalized such that π* becomes -1 percent, that is, the public believes prices will fall at the rate of 1 percent in the foreseeable future. Then the real rate of interest becomes (1+0.0025) divided by (1-0.01) equal to (1.0025)/(0.99) = (1+r) = 1.01263, or r = (1.01263-1) = 0.01263, which results in positive real rate of interest of (0.01263)100 = 1.263 percent.

Irving Fisher also identified the impact of deflation on debts as an important cause of deepening contraction of income and employment during the Great Depression illustrated by an actual example (Fisher 1933, 346):

“By March, 1933, liquidation had reduced the debts about 20 percent, but had increased the dollar about 75 percent, so that the real debt, that is the debt measured in terms of commodities, was increased about 40 percent [100%-20%)X(100%+75%) =140%]. Unless some counteracting cause comes along to prevent the fall in the price level, such a depression as that of 1929-1933 (namely when the more the debtors pay the more they owe) tends to continue, going deeper, in a vicious spiral, for many years. There is then no tendency of the boat to stop tipping until it has capsized”

The nominal rate of interest must always be nonnegative, that is, i ≥ 0 (Hick 1937, 154-5):

“If the costs of holding money can be neglected, it will always be profitable to hold money rather than lend it out, if the rate of interest is not greater than zero. Consequently the rate of interest must always be positive. In an extreme case, the shortest short-term rate may perhaps be nearly zero. But if so, the long-term rate must lie above it, for the long rate has to allow for the risk that the short rate may rise during the currency of the loan, and it should be observed that the short rate can only rise, it cannot fall”

The interpretation by Hicks of the General Theory of Keynes is the special case in which at interest rates close to zero liquidity preference is infinitely or perfectly elastic, that is, the public holds infinitely large cash balances at that near zero interest rate because there is no opportunity cost of foregone interest. Increases in the money supply by the central bank would not decrease interest rates below their near zero level, which is called the liquidity trap. The only alternative public policy would consist of fiscal policy that would act similarly to an increase in investment, increasing employment without raising the interest rate.

An influential view on the policy required to steer the economy away from the liquidity trap is provided by Paul Krugman (1998). Suppose the central bank faces an increase in inflation. An important ingredient of the control of inflation is the central bank communicating to the public that it will maintain a sustained effort by all available policy measures and required doses until inflation is subdued and price stability is attained. If the public believes that the central bank will control inflation only until it declines to a more benign level but not sufficiently low level, current expectations will develop that inflation will be higher once the central bank abandons harsh measures. During deflation and recession the central bank has to convince the public that it will maintain zero interest rates and other required measures until the rate of inflation returns convincingly to a level consistent with expansion of the economy and stable prices. Krugman (1998, 161) summarizes the argument as:

“The ineffectuality of monetary policy in a liquidity trap is really the result of a looking-glass version of the standard credibility problem: monetary policy does not work because the public expects that whatever the central bank may do now, given the chance, it will revert to type and stabilize prices near their current level. If the central bank can credibly promise to be irresponsible—that is, convince the market that it will in fact allow prices to rise sufficiently—it can bootstrap the economy out of the trap”

This view is consistent with results of research by Christina Romer that “the rapid rates of growth of real output in the mid- and late 1930s were largely due to conventional aggregate demand stimulus, primarily in the form of monetary expansion. My calculations suggest that in the absence of these stimuli the economy would have remained depressed far longer and far more deeply than it actually did” (Romer 1992, 757-8, cited in Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 210-2). The average growth rate of the money supply in 1933-1937 was 10 percent per year and increased in the early 1940s. Romer calculates that GDP would have been much lower without this monetary expansion. The growth of “the money supply was primarily due to a gold inflow, which was in turn due to the devaluation in 1933 and to capital flight from Europe because of political instability after 1934” (Romer 1992, 759). Gold inflow coincided with the decline in real interest rates in 1933 that remained negative through the latter part of the 1930s, suggesting that they could have caused increases in spending that was sensitive to declines in interest rates. Bernanke finds dollar devaluation against gold to have been important in preventing further deflation in the 1930s (Bernanke 2002):

“There have been times when exchange rate policy has been an effective weapon against deflation. A striking example from US history is Franklin Roosevelt’s 40 percent devaluation of the dollar against gold in 1933-34, enforced by a program of gold purchases and domestic money creation. The devaluation and the rapid increase in money supply it permitted ended the US deflation remarkably quickly. Indeed, consumer price inflation in the United States, year on year, went from -10.3 percent in 1932 to -5.1 percent in 1933 to 3.4 percent in 1934. The economy grew strongly, and by the way, 1934 was one of the best years of the century for the stock market”

Fed policy is seeking what Irving Fisher proposed “that great depressions are curable and preventable through reflation and stabilization” (Fisher 1933, 350).

The President of the Federal Reserve Bank of Chicago argues that (Charles Evans 2010):

“I believe the US economy is best described as being in a bona fide liquidity trap. Highly plausible projections are 1 percent for core Personal Consumption Expenditures (PCE) inflation at the end of 2012 and 8 percent for the unemployment rate. For me, the Fed’s dual mandate misses are too large to shrug off, and there is currently no policy conflict between improving employment and inflation outcomes”

There are two types of monetary policies that could be used in this situation. First, the Fed could announce a price-level target to be attained within a reasonable time frame (Evans 2010):

“For example, if the slope of the price path is 2 percent and inflation has been underunning the path for some time, monetary policy would strive to catch up to the path. Inflation would be higher than 2 percent for a time until the path was reattained”

Optimum monetary policy with interest rates near zero could consist of “bringing the price level back up to a level even higher than would have prevailed had the disturbance never occurred” (Gauti Eggertsson and Michael Woodford 2003, 207). Bernanke (2003JPY) explains as follows:

“Failure by the central bank to meet its target in a given period leads to expectations of (and public demands for) increased effort in subsequent periods—greater quantities of assets purchased on the open market for example. So even if the central bank is reluctant to provide a time frame for meetings its objective, the structure of the price-level objective provides a means for the bank to commit to increasing its anti-deflationary efforts when its earlier efforts prove unsuccessful. As Eggertsson and Woodford show, the expectations that an increasing price level gap will give rise to intensified effort by the central bank should lead the public to believe that ultimately inflation will replace deflation, a belief that supports the central bank’s own objectives by lowering the current real rate of interest”

Second, the Fed could use its balance sheet to increase purchases of long-term securities together with credible commitment to maintain the policy until the dual mandates of maximum employment and price stability are attained.

In the restatement of the liquidity trap and large-scale policies of monetary/fiscal stimulus, Krugman (1998, 162) finds:

“In the traditional open economy IS-LM model developed by Robert Mundell [1963] and Marcus Fleming [1962], and also in large-scale econometric models, monetary expansion unambiguously leads to currency depreciation. But there are two offsetting effects on the current account balance. On one side, the currency depreciation tends to increase net exports; on the other side, the expansion of the domestic economy tends to increase imports. For what it is worth, policy experiments on such models seem to suggest that these effects very nearly cancel each other out.

Krugman (1998) uses a different dynamic model with expectations that leads to similar conclusions.

The central bank could also be pursuing competitive devaluation of the national currency in the belief that it could increase inflation to a higher level and promote domestic growth and employment at the expense of growth and unemployment in the rest of the world. An essay by Chairman Bernanke in 1999 on Japanese monetary policy received attention in the press, stating that (Bernanke 2000, 165):

“Roosevelt’s specific policy actions were, I think, less important than his willingness to be aggressive and experiment—in short, to do whatever it took to get the country moving again. Many of his policies did not work as intended, but in the end FDR deserves great credit for having the courage to abandon failed paradigms and to do what needed to be done”

Quantitative easing has never been proposed by Chairman Bernanke or other economists as certain science without adverse effects. What has not been mentioned in the press is another suggestion to the Bank of Japan (BOJ) by Chairman Bernanke in the same essay that is very relevant to current events and the contentious issue of ongoing devaluation wars (Bernanke 2000, 161):

“Because the BOJ has a legal mandate to pursue price stability, it certainly could make a good argument that, with interest rates at zero, depreciation of the yen is the best available tool for achieving its mandated objective. The economic validity of the beggar-thy-neighbor thesis is doubtful, as depreciation creates trade—by raising home country income—as well as diverting it. Perhaps not all those who cite the beggar-thy-neighbor thesis are aware that it had its origins in the Great Depression, when it was used as an argument against the very devaluations that ultimately proved crucial to world economic recovery. A yen trading at 100 to the dollar is in no one’s interest”

Chairman Bernanke is referring to the argument by Joan Robinson based on the experience of the Great Depression that: “in times of general unemployment a game of beggar-my-neighbour is played between the nations, each one endeavouring to throw a larger share of the burden upon the others” (Robinson 1947, 156). Devaluation is one of the tools used in these policies (Robinson 1947, 157). Banking crises dominated the experience of the United States, but countries that recovered were those devaluing early such that competitive devaluations rescued many countries from a recession as strong as that in the US (see references to Ehsan Choudhri, Levis Kochin and Barry Eichengreen in Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 205-9; for the case of Brazil that devalued early in the Great Depression recovering with an increasing trade balance see Pelaez, 1968, 1968b, 1972; Brazil devalued and abandoned the gold standard during crises in the historical period as shown by Pelaez 1976, Pelaez and Suzigan 1981). Beggar-my-neighbor policies did work for individual countries but the criticism of Joan Robinson was that it was not optimal for the world as a whole.

Chairman Bernanke (2013Mar 25) reinterprets devaluation and recovery from the Great Depression:

“The uncoordinated abandonment of the gold standard in the early 1930s gave rise to the idea of "beggar-thy-neighbor" policies. According to this analysis, as put forth by important contemporary economists like Joan Robinson, exchange rate depreciations helped the economy whose currency had weakened by making the country more competitive internationally. Indeed, the decline in the value of the pound after 1931 was associated with a relatively early recovery from the Depression by the United Kingdom, in part because of some rebound in exports. However, according to this view, the gains to the depreciating country were equaled or exceeded by the losses to its trading partners, which became less internationally competitive--hence, ‘beggar thy neighbor.’ Economists still agree that Smoot-Hawley and the ensuing tariff wars were highly counterproductive and contributed to the depth and length of the global Depression. However, modern research on the Depression, beginning with the seminal 1985 paper by Barry Eichengreen and Jeffrey Sachs, has changed our view of the effects of the abandonment of the gold standard. Although it is true that leaving the gold standard and the resulting currency depreciation conferred a temporary competitive advantage in some cases, modern research shows that the primary benefit of leaving gold was that it freed countries to use appropriately expansionary monetary policies. By 1935 or 1936, when essentially all major countries had left the gold standard and exchange rates were market-determined, the net trade effects of the changes in currency values were certainly small. Yet the global economy as a whole was much stronger than it had been in 1931. The reason was that, in shedding the strait jacket of the gold standard, each country became free to use monetary policy in a way that was more commensurate with achieving full employment at home.”

Nurkse (1944) raised concern on the contraction of trade by competitive devaluations during the 1930s. Haberler (1937) dwelled on the issue of flexible exchange rates. Bordo and James (2001) provide perceptive exegesis of the views of Haberler (1937) and Nurkse (1944) together with the evolution of thought by Haberler. Policy coordination among sovereigns may be quite difficult in practice even if there were sufficient knowledge and sound forecasts. Friedman (1953) provided strong case in favor of a system of flexible exchange rates.

Eichengreen and Sachs (1985) argue theoretically with measurements using a two-sector model that it is possible for series of devaluations to improve the welfare of all countries. There were adverse effects of depreciation on other countries but depreciation by many countries could be beneficial for all. The important counterfactual is if depreciations by many countries would have promoted faster recovery from the Great Depression. Depreciation in the model of Eichengreen and Sachs (1985) affected domestic and foreign economies through real wages, profitability, international competitiveness and world interest rates. Depreciation causes increase in the money supply that lowers world interest rates, promoting growth of world output. Lower world interest rates could compensate contraction of output from the shift of demand away from home goods originating in neighbor’s exchange depreciation. Eichengreen and Sachs (1985, 946) conclude:

“This much, however, is clear. We do not present a blanket endorsement of the competitive devaluations of the 1930s. Though it is indisputable that currency depreciation conferred macroeconomic benefits on the initiating country, because of accompanying policies the depreciations of the 1930s had beggar-thy-neighbor effects. Though it is likely that currency depreciation (had it been even more widely adopted) would have worked to the benefit of the world as a whole, the sporadic and uncoordinated approach taken to exchange-rate policy in the 1930s tended, other things being equal, to reduce the magnitude of the benefits.”

There could major difference in the current world economy. The initiating impulse for depreciation originates in zero interest rates on the fed funds rate. The dollar is the world’s reserve currency. Risk aversion intermittently channels capital flight to the safe haven of the dollar and US Treasury securities. In the absence of risk aversion, zero interest rates induce carry trades of short positions in dollars and US debt (borrowing) together with long leveraged exposures in risk financial assets such as stocks, emerging stocks, commodities and high-yield bonds. Without risk aversion, the dollar depreciates against every currency in the world. The dollar depreciated against the euro by 39.3 percent from USD 1.1423/EUR con Jun 26, 2003 to USD 1.5914/EUR on Jun 14, 2008 during unconventional monetary policy before the global recession (Table VI-1). Unconventional monetary policy causes devaluation of the dollar relative to other currencies, which can increases net exports of the US that increase aggregate economic activity (Yellen 2011AS). The country issuing the world’s reserve currency appropriates the advantage from initiating devaluation that in policy intends to generate net exports that increase domestic output.

Pelaez and Pelaez (Regulation of Banks and Finance (2009b), 208-209) summarize the experience of Brazil as follows:

“During 1927–9, Brazil accumulated ￡30 million of foreign exchange of which ￡20 million were deposited at its stabilization fund (Pelaez 1968, 43–4). After the decline in coffee prices and the first impact of the Great Depression in Brazil a hot money movement wiped out foreign exchange reserves. In addition, capital inflows stopped entirely. The deterioration of the terms of trade further complicated matters, as the value of exports in foreign currency declined abruptly. Because of this exchange crisis, the service of the foreign debt of Brazil became impossible. In August 1931, the federal government was forced to cancel the payment of principal on certain foreign loans. The balance of trade in 1931 was expected to yield ￡20 million whereas the service of the foreign debt alone amounted to ￡22.6 million. Part of the solution given to these problems was typical of the 1930s. In September 1931, the government of Brazil required that all foreign transactions were to be conducted through the Bank of Brazil. This monopoly of foreign exchange was exercised by the Bank of Brazil for the following three years. Export permits were granted only after the exchange derived from sales abroad was officially sold to the Bank, which in turn allocated it in accordance with the needs of the economy. An active black market in foreign exchange developed. Brazil was in the first group of countries that abandoned early the gold standard, in 1931, and suffered comparatively less from the Great Depression. The Brazilian federal government, advised by the BOE, increased taxes and reduced expenditures in 1931 to compensate a decline in custom receipts (Pelaez 1968, 40). Expenditures caused by a revolution in 1932 in the state of Sao Paulo and a drought in the northeast explain the deficit. During 1932–6, the federal government engaged in strong efforts to stabilize the budget. Apart from the deliberate efforts to balance the budget during the 1930s, the recovery in economic activity itself may have induced a large part of the reduction of the deficit (Ibid, 41). Brazil’s experience is similar to that of the United States in that fiscal policy did not promote recovery from the Great Depression.”

Is depreciation of the dollar the best available tool currently for achieving the dual mandate of higher inflation and lower unemployment? Bernanke (2002) finds dollar devaluation against gold to have been important in preventing further deflation in the 1930s (http://www.federalreserve.gov/boarddocs/speeches/2002/20021121/default.htm):

“Although a policy of intervening to affect the exchange value of the dollar is nowhere on the horizon today, it's worth noting that there have been times when exchange rate policy has been an effective weapon against deflation. A striking example from U.S. history is Franklin Roosevelt's 40 percent devaluation of the dollar against gold in 1933-34, enforced by a program of gold purchases and domestic money creation. The devaluation and the rapid increase in money supply it permitted ended the U.S. deflation remarkably quickly. Indeed, consumer price inflation in the United States, year on year, went from -10.3 percent in 1932 to -5.1 percent in 1933 to 3.4 percent in 1934.¹⁷ The economy grew strongly, and by the way, 1934 was one of the best years of the century for the stock market. If nothing else, the episode illustrates that monetary actions can have powerful effects on the economy, even when the nominal interest rate is at or near zero, as was the case at the time of Roosevelt's devaluation.”

Should the US devalue following Roosevelt? Alternatively, has monetary policy intended devaluation? Fed policy is seeking, deliberately or as a side effect, what Irving Fisher proposed “that great depressions are curable and preventable through reflation and stabilization” (Fisher, 1933, 350). The Fed has created not only high volatility of assets but also what many countries are regarding as a competitive devaluation similar to those criticized by Nurkse (1944). Yellen (2011AS, 6) admits that Fed monetary policy results in dollar devaluation with the objective of increasing net exports, which was the policy that Joan Robinson (1947) labeled as “beggar-my-neighbor” remedies for unemployment.

Unconventional monetary policy of zero interest rates and large-scale purchases of long-term securities for the balance sheet of the central bank is proposed to prevent deflation. The data of CPI inflation of all goods and CPI inflation excluding food and energy for the past six decades does not show even one negative change, as shown in Table CPIEX.

Table CPIEX, Annual Percentage Changes of the CPI All Items Excluding Food and Energy

Year	Annual ∆%
1958	2.4
1959	2.0
1960	1.3
1961	1.3
1962	1.3
1963	1.3
1964	1.6
1965	1.2
1966	2.4
1967	3.6
1968	4.6
1969	5.8
1970	6.3
1971	4.7
1972	3.0
1973	3.6
1974	8.3
1975	9.1
1976	6.5
1977	6.3
1978	7.4
1979	9.8
1980	12.4
1981	10.4
1982	7.4
1983	4.0
1984	5.0
1985	4.3
1986	4.0
1987	4.1
1988	4.4
1989	4.5
1990	5.0
1991	4.9
1992	3.7
1993	3.3
1994	2.8
1995	3.0
1996	2.7
1997	2.4
1998	2.3
1999	2.1
2000	2.4
2001	2.6
2002	2.4
2003	1.4
2004	1.8
2005	2.2
2006	2.5
2007	2.3
2008	2.3
2009	1.7
2010	1.0
2011	1.7
2012	2.1
2013	1.8

Source: Bureau of Labor Statistics

http://www.bls.gov/cpi/

Zero interest rates and quantitative easing are designed to lower costs of borrowing for investment and consumption, increase stock market valuations and devalue the dollar. In practice, the carry trade is from zero interest rates to a large variety of risk financial assets including commodities. Resulting commodity price inflation squeezes family budgets and deteriorates the terms of trade with negative effects on aggregate demand and employment. Excessive valuations of risk financial assets eventually result in crashes of financial markets with possible adverse effects on economic activity and employment.

The history of producer price inflation in the past five decades does not provide evidence of deflation. The finished core PPI does not register even one single year of decline, as shown in Table PPIEX.

Table PPIEX, Annual Percentage Changes of the PPI Finished Goods Excluding Food and Energy

Year	Annual
1974	11.4
1975	11.4
1976	5.7
1977	6.0
1978	7.5
1979	8.9
1980	11.2
1981	8.6
1982	5.7
1983	3.0
1984	2.4
1985	2.5
1986	2.3
1987	2.4
1988	3.3
1989	4.4
1990	3.7
1991	3.6
1992	2.4
1993	1.2
1994	1.0
1995	2.1
1996	1.4
1997	0.3
1998	0.9
1999	1.7
2000	1.3
2001	1.4
2002	0.1
2003	0.2
2004	1.5
2005	2.4
2006	1.5
2007	1.9
2008	3.4
2009	2.6
2010	1.2
2011	2.4
2012	2.6
2013	1.5

Source: Bureau of Labor Statistics

http://www.bls.gov/cpi/

The producer price index of the US from 1947 to 2014 in Chart I-6 shows various periods of more rapid or less rapid inflation but no bumps. The major event is the decline in 2008 when risk aversion because of the global recession caused the collapse of oil prices from $148/barrel to less than $80/barrel with most other commodity prices also collapsing. The event had nothing in common with explanations of deflation but rather with the concentration of risk exposures in commodities after the decline of stock market indexes. Eventually, there was a flight to government securities because of the fears of insolvency of banks caused by statements supporting proposals for withdrawal of toxic assets from bank balance sheets in the Troubled Asset Relief Program (TARP), as explained by Cochrane and Zingales (2009). The bump in 2008 with decline in 2009 is consistent with the view that zero interest rates with subdued risk aversion induce carry trades into commodity futures.

Chart I-6, US, Producer Price Index, Finished Goods, NSA, 1947-2014

Source: US Bureau of Labor Statistics

http://www.bls.gov/ppi/

Chart I-7 provides 12-month percentage changes of the producer price index from 1948 to 2014. The distinguishing event in Chart I-7 is the Great Inflation of the 1970s. The shape of the two-hump Bactrian camel of the 1970s resembles the double hump from 2007 to 2013.

Chart I-7, US, Producer Price Index, Finished Goods, 12-Month Percentage Change, NSA, 1948-2014

Source: US Bureau of Labor Statistics

http://www.bls.gov/ppi/

Annual percentage changes of the producer price index from 1948 to 2013 are shown in Table I-1A. The producer price index fell 2.8 percent in 1949 following the adjustment to World War II and fell 0.6 percent in 1952 and 1.0 percent in 1953 around the Korean War. There are two other mild decline of 0.3 percent in 1959 and 0.3 percent in 1963. There are only few subsequent and isolated declines of the producer price index of 1.4 percent in 1986, 0.8 percent in 1998, 1.3 percent in 2002 and 2.6 percent in 2009. The decline of 2009 was caused by unwinding of carry trades in 2008 that had lifted oil prices to $140/barrel during deep global recession because of the panic of probable toxic assets in banks that would be removed with the Troubled Asset Relief Program (TARP) (Cochrane and Zingales 2009). There is no evidence in this history of 65 years of the US producer price index suggesting that there is frequent and persistent deflation shock requiring aggressive unconventional monetary policy. The design of such anti-deflation policy could provoke price and financial instability because of lags in effect of monetary policy, model errors, inaccurate forecasts and misleading analysis of current economic conditions.

Table I-1A, US, Annual PPI Inflation ∆% 1948-2013

Year	Annual ∆%
1948	8.0
1949	-2.8
1950	1.8
1951	9.2
1952	-0.6
1953	-1.0
1954	0.3
1955	0.3
1956	2.6
1957	3.8
1958	2.2
1959	-0.3
1960	0.9
1961	0.0
1962	0.3
1963	-0.3
1964	0.3
1965	1.8
1966	3.2
1967	1.1
1968	2.8
1969	3.8
1970	3.4
1971	3.1
1972	3.2
1973	9.1
1974	15.4
1975	10.6
1976	4.5
1977	6.4
1978	7.9
1979	11.2
1980	13.4
1981	9.2
1982	4.1
1983	1.6
1984	2.1
1985	1.0
1986	-1.4
1987	2.1
1988	2.5
1989	5.2
1990	4.9
1991	2.1
1992	1.2
1993	1.2
1994	0.6
1995	1.9
1996	2.7
1997	0.4
1998	-0.8
1999	1.8
2000	3.8
2001	2.0
2002	-1.3
2003	3.2
2004	3.6
2005	4.8
2006	3.0
2007	3.9
2008	6.3
2009	-2.6
2010	4.2
2011	6.0
2012	1.9
2013	1.2

Source: US Bureau of Labor Statistics

http://www.bls.gov/ppi/

Chart I-12 provides the consumer price index NSA from 1915 to 2014. The dominating characteristic is the increase in slope during the Great Inflation from the middle of the 1960s through the 1970s. There is long-term inflation in the US and no evidence of deflation risks.

Chart I-12, US, Consumer Price Index, NSA, 1915-2014

Source: US Bureau of Labor Statistics http://www.bls.gov/cpi/data.htm

Chart I-13 provides 12-month percentage changes of the consumer price index from 1915 to 2014. The only episode of deflation after 1950 is in 2009, which is explained by the reversal of speculative commodity futures carry trades that were induced by interest rates driven to zero in a shock of monetary policy in 2008. The only persistent case of deflation is from 1930 to 1933, which has little if any relevance to the contemporary United States economy. There are actually three waves of inflation in the second half of the 1960s, in the mid-1970s and again in the late 1970s. Inflation rates then stabilized in a range with only two episodes above 5 percent.

Chart I-13, US, Consumer Price Index, All Items, 12- Month Percentage Change 1914-2014

Source: US Bureau of Labor Statistics http://www.bls.gov/cpi/data.htm

Table I-2 provides annual percentage changes of United States consumer price inflation from 1914 to 2013. There have been only cases of annual declines of the CPI after wars: (1)

• World War I minus 10.5 percent in 1921 and minus 6.1 percent in 1922 following cumulative increases of 83.5 percent in four years from 1917 to 1920 at the average of 16.4 percent per year
• World War II: minus 1.2 percent in 1949 following cumulative 33.9 percent in three years from 1946 to 1948 at average 10.2 percent per year
• Minus 0.4 percent in 1955 two years after the end of the Korean War
• Minus 0.4 percent in 2009.
• The decline of 0.4 percent in 2009 followed increase of 3.8 percent in 2008 and is explained by the reversal of speculative carry trades into commodity futures that were created in 2008 as monetary policy rates were driven to zero. The reversal occurred after misleading statement on toxic assets in banks in the proposal for TARP (Cochrane and Zingales 2009).

There were declines of 1.7 percent in both 1927 and 1928 during the episode of revival of rules of the gold standard. The only persistent deflationary period since 1914 was during the Great Depression in the years from 1930 to 1933 and again in 1938-1939. Fear of deflation on the basis of that experience does not justify unconventional monetary policy of zero interest rates that has failed to stop deflation in Japan. Financial repression causes far more adverse effects on allocation of resources by distorting the calculus of risk/returns than alleged employment-creating effects or there would not be current recovery without jobs and hiring after zero interest rates since Dec 2008 and intended now forever in a self-imposed forecast growth and employment mandate of monetary policy. Unconventional monetary policy drives wide swings in allocations of positions into risk financial assets that generate instability instead of intended pursuit of prosperity without inflation. There is insufficient knowledge and imperfect tools to maintain the gap of actual relative to potential output constantly at zero while restraining inflation in an open interval of (1.99, 2.0). Symmetric targets appear to have been abandoned in favor of a self-imposed single jobs mandate of easing monetary policy even with the economy growing at or close to potential output that is actually a target of growth forecast. The impact on the overall economy and the financial system of errors of policy are magnified by large-scale policy doses of trillions of dollars of quantitative easing and zero interest rates. The US economy has been experiencing financial repression as a result of negative real rates of interest during nearly a decade and programmed in monetary policy statements until 2015 or, for practical purposes, forever. The essential calculus of risk/return in capital budgeting and financial allocations has been distorted. If economic perspectives are doomed until 2015 such as to warrant zero interest rates and open-ended bond-buying by “printing” digital bank reserves (http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html; see Shultz et al 2012), rational investors and consumers will not invest and consume until just before interest rates are likely to increase. Monetary policy statements on intentions of zero interest rates for another three years or now virtually forever discourage investment and consumption or aggregate demand that can increase economic growth and generate more hiring and opportunities to increase wages and salaries. The doom scenario used to justify monetary policy accentuates adverse expectations on discounted future cash flows of potential economic projects that can revive the economy and create jobs. If it were possible to project the future with the central tendency of the monetary policy scenario and monetary policy tools do exist to reverse this adversity, why the tools have not worked before and even prevented the financial crisis? If there is such thing as “monetary policy science”, why it has such poor record and current inability to reverse production and employment adversity? There is no excuse of arguing that additional fiscal measures are needed because they were deployed simultaneously with similar ineffectiveness. Jon Hilsenrath, writing on “New view into Fed’s response to crisis,” on Feb 21, 2014, published in the Wall Street Journal (http://online.wsj.com/news/articles/SB10001424052702303775504579396803024281322?mod=WSJ_hp_LEFTWhatsNewsCollection), analyzes 1865 pages of transcripts of eight formal and six emergency policy meetings at the Fed in 2008 (http://www.federalreserve.gov/monetarypolicy/fomchistorical2008.htm). If there were an infallible science of central banking, models and forecasts would provide accurate information to policymakers on the future course of the economy in advance. Such forewarning is essential to central bank science because of the long lag between the actual impulse of monetary policy and the actual full effects on income and prices many months and even years ahead (Romer and Romer 2004, Friedman 1961, 1953, Culbertson 1960, 1961, Batini and Nelson 2002). The transcripts of the Fed meetings in 2008 (http://www.federalreserve.gov/monetarypolicy/fomchistorical2008.htm) analyzed by Jon Hilsenrath demonstrate that Fed policymakers frequently did not understand the current state of the US economy in 2008 and much less the direction of income and prices. The conclusion of Friedman (1953) that monetary impulses increase financial and economic instability because of lags in anticipating needs of policy, taking policy decisions and effects of decisions. This a fortiori true when untested unconventional monetary policy in gargantuan doses shocks the economy and financial markets.

Table I-2, US, Annual CPI Inflation ∆% 1914-2013

Year	Annual ∆%
1914	1.0
1915	1.0
1916	7.9
1917	17.4
1918	18.0
1919	14.6
1920	15.6
1921	-10.5
1922	-6.1
1923	1.8
1924	0.0
1925	2.3
1926	1.1
1927	-1.7
1928	-1.7
1929	0.0
1930	-2.3
1931	-9.0
1932	-9.9
1933	-5.1
1934	3.1
1935	2.2
1936	1.5
1937	3.6
1938	-2.1
1939	-1.4
1940	0.7
1941	5.0
1942	10.9
1943	6.1
1944	1.7
1945	2.3
1946	8.3
1947	14.4
1948	8.1
1949	-1.2
1950	1.3
1951	7.9
1952	1.9
1953	0.8
1954	0.7
1955	-0.4
1956	1.5
1957	3.3
1958	2.8
1959	0.7
1960	1.7
1961	1.0
1962	1.0
1963	1.3
1964	1.3
1965	1.6
1966	2.9
1967	3.1
1968	4.2
1969	5.5
1970	5.7
1971	4.4
1972	3.2
1973	6.2
1974	11.0
1975	9.1
1976	5.8
1977	6.5
1978	7.6
1979	11.3
1980	13.5
1981	10.3
1982	6.2
1983	3.2
1984	4.3
1985	3.6
1986	1.9
1987	3.6
1988	4.1
1989	4.8
1990	5.4
1991	4.2
1992	3.0
1993	3.0
1994	2.6
1995	2.8
1996	3.0
1997	2.3
1998	1.6
1999	2.2
2000	3.4
2001	2.8
2002	1.6
2003	2.3
2004	2.7
2005	3.4
2006	3.2
2007	2.8
2008	3.8
2009	-0.4
2010	1.6
2011	3.2
2012	2.1
2013	1.5

Source: US Bureau of Labor Statistics http://www.bls.gov/cpi/data.htm

Friedman (1969) finds that the optimal rule for the quantity of money is deflation at a rate that results in a zero nominal interest rate (see Ireland 2003 and Cole and Kocherlakota 1998). Atkeson and Kehoe (2004) argue that central bankers are not inclined to implement policies that could result in deflation because of the interpretation of the Great Depression as closely related to deflation. They use panel data on inflation and growth of real output for 17 countries over more than 100 years. The time-series data for each individual country are broken into five-year events with deflation measured as average negative inflation and depression as average negative growth rate of real output. Atkeson and Kehoe (2004) find that the Great Depression from 1929 to 1934 is the only case of association between deflation and depression without any evidence whatsoever of such relation in any other period. Their conclusion is (Atkeson and Kehoe 2004, 99): “Our finding thus suggests that policymakers’ fear of anticipated policy-induced deflation that would result from following, say, the Friedman rule is greatly overblown.” Their conclusion on the experience of Japan is (Atkeson and Kehoe 2004, 99):

“Since 1960, Japan’s average growth rates have basically fallen monotonically, and since 1970, its average inflation rates have too. Attributing this 40-year slowdown to monetary forces is a stretch. More reasonable, we think, is that much of the slowdown is the natural pattern for a country that was far behind the world leaders and had begun to catch up.”

In the sample of Atkeson and Kehoe (2004), there are only eight five-year periods besides the Great Depression with both inflation and depression. Deflation and depression is shown in 65 cases with 21 of depression without deflation. There is no depression in 65 of 73 five-year periods and there is no deflation in 29 episodes of depression. There is a remarkable result of no depression in 90 percent of deflation episodes. Excluding the Great Depression, there is virtually no relation of deflation and depression. Atkeson and Kehoe (2004, 102) find that the average growth rate of Japan of 1.41 percent in the 1990s is “dismal” when compared with 3.20 percent in the United States but is not “dismal” when compared with 1.61 percent for Italy and 1.84 percent for France, which are also catch-up countries in modern economic growth (see Atkeson and Kehoe 1998). The conclusion of Atkeson and Kehoe (2004), without use of controls, is that there is no association of deflation and depression in their dataset.

Benhabib and Spiegel (2009) use a dataset similar to that of Atkeson and Kehoe (2004) but allowing for nonlinearity and inflation volatility. They conclude that in cases of low and negative inflation an increase of average inflation of 1 percent is associated with an increase of 0.31 percent of average annual growth. The analysis of Benhabib and Spiegel (2009) leads to the significantly different conclusion that inflation and economic performance are strongly associated for low and negative inflation. There is no claim of causality by Atkeson and Kehoe (2004) and Benhabib and Spiegel (2009).

Delfim Netto (1959) partly reprinted in Pelaez (1973) conducted two classical nonparametric tests (Mann 1945, Wallis and Moore 1941; see Kendall and Stuart 1968) with coffee-price data in the period of free markets from 1857 to 1906 with the following conclusions (Pelaez, 1976a, 280):

“First, the null hypothesis of no trend was accepted with high confidence; secondly, the null hypothesis of no oscillation was rejected also with high confidence. Consequently, in the nineteenth century international prices of coffee fluctuated but without long-run trend. This statistical fact refutes the extreme argument of structural weakness of the coffee trade.”

In his classic work on the theory of international trade, Jacob Viner (1937, 563) analyzed the “index of total gains from trade,” or “amount of gain per unit of trade,” denoted as T:

T= (∆P^e/∆Pⁱ)∆Q

Where ∆P^e is the change in export prices, ∆Pⁱ is the change in import prices and ∆Q is the change in export volume. Dorrance (1948, 52) restates “Viner’s index of total gain from trade” as:

“What should be done is to calculate an index of the value (quantity multiplied by price) of exports and the price of imports for any country whose foreign accounts are to be analysed. Then the export value index should be divided by the import price index. The result would be an index which would reflect, for the country concerned, changes in the volume of imports obtainable from its export income (i.e. changes in its "real" export income, measured in import terms). The present writer would suggest that this index be referred to as the ‘income terms of trade’ index to differentiate it from the other indexes at present used by economists.”

What really matters for an export activity especially during modernization is the purchasing value of goods that it exports in terms of prices of imports. For a primary producing country, the purchasing power of exports in acquiring new technology from the country providing imports is the critical measurement. The barter terms of trade of Brazil improved from 1857 to 1906 because international coffee prices oscillated without trend (Delfim Netto 1959) while import prices from the United Kingdom declined at the rate of 0.5 percent per year (Imlah 1958). The accurate measurement of the opportunity afforded by the coffee exporting economy was incomparably greater when considering the purchasing power in British prices of the value of coffee exports, or Dorrance’s (1948) income terms of trade.

The conventional theory that the terms of trade of Brazil deteriorated over the long term is without reality (Pelaez 1976a, 280-281):

“Moreover, physical exports of coffee by Brazil increased at the high average rate of 3.5 per cent per year. Brazil's exchange receipts from coffee-exporting in sterling increased at the average rate of 3.5 per cent per year and receipts in domestic currency at 4.5 per cent per year. Great Britain supplied nearly all the imports of the coffee economy. In the period of the free coffee market, British export prices declined at the rate of 0.5 per cent per year. Thus, the income terms of trade of the coffee economy improved at the relatively satisfactory average rate of 4.0 per cent per year. This is only a lower bound of the rate of improvement of the terms of trade. While the quality of coffee remained relatively constant, the quality of manufactured products improved significantly during the fifty-year period considered. The trade data and the non-parametric tests refute conclusively the long-run hypothesis. The valid historical fact is that the tropical export economy of Brazil experienced an opportunity of absorbing rapidly increasing quantities of manufactures from the "workshop" countries. Therefore, the coffee trade constituted a golden opportunity for modernization in nineteenth-century Brazil.”

Imlah (1958) provides decline of British export prices at 0.5 percent in the nineteenth century and there were no lost decades, depressions or unconventional monetary policies in the highly dynamic economy of England that drove the world’s growth impulse. Inflation in the United Kingdom between 1857 and 1906 is measured by the composite price index of O’Donoghue and Goulding (2004) at minus 7.0 percent or average rate of decline of 0.2 percent per year.

Simon Kuznets (1971) analyzes modern economic growth in his Lecture in Memory of Alfred Nobel:

“The major breakthroughs in the advance of human knowledge, those that constituted dominant sources of sustained growth over long periods and spread to a substantial part of the world, may be termed epochal innovations. And the changing course of economic history can perhaps be subdivided into economic epochs, each identified by the epochal innovation with the distinctive characteristics of growth that it generated. Without considering the feasibility of identifying and dating such economic epochs, we may proceed on the working assumption that modern economic growth represents such a distinct epoch - growth dating back to the late eighteenth century and limited (except in significant partial effects) to economically developed countries. These countries, so classified because they have managed to take adequate advantage of the potential of modern technology, include most of Europe, the overseas offshoots of Western Europe, and Japan—barely one quarter of world population.”

Cameron (1961) analyzes the mechanism by which the Industrial Revolution in Great Britain spread throughout Europe and Cameron (1967) analyzes the financing by banks of the Industrial Revolution in Great Britain. O’Donoghue and Goulding (2004) provide consumer price inflation in England since 1750 and MacFarlane and Mortimer-Lee (1994) analyze inflation in England over 300 years. Lucas (2004) estimates world population and production since the year 1000 with sustained growth of per capita incomes beginning to accelerate for the first time in English-speaking countries and in particular in the Industrial Revolution in Great Britain. The conventional theory is unequal distribution of the gains from trade and technical progress between the industrialized countries and developing economies (Singer 1950, 478):

“Dismissing, then, changes in productivity as a governing factor in changing terms of trade, the following explanation presents itself: the fruits of technical progress may be distributed either to producers (in the form of rising incomes) or to consumers (in the form of lower prices). In the case of manufactured commodities produced in more developed countries, the former method, i.e., distribution to producers through higher incomes, was much more important relatively to the second method, while the second method prevailed more in the case of food and raw material production in the underdeveloped countries. Generalizing, we may say -that technical progress in manufacturing industries showed in a rise in incomes while technical progress in the production of food and raw materials in underdeveloped countries showed in a fall in prices”

Temin (1997, 79) uses a Ricardian trade model to discriminate between two views on the Industrial Revolution with an older view arguing broad-based increases in productivity and a new view concentration of productivity gains in cotton manufactures and iron:

“Productivity advances in British manufacturing should have lowered their prices relative to imports. They did. Albert Imlah [1958] correctly recognized this ‘severe deterioration’ in the net barter terms of trade as a signal of British success, not distress. It is no surprise that the price of cotton manufactures fell rapidly in response to productivity growth. But even the price of woolen manufactures, which were declining as a share of British exports, fell almost as rapidly as the price of exports as a whole. It follows, therefore, that the traditional ‘old-hat’ view of the Industrial Revolution is more accurate than the new, restricted image. Other British manufactures were not inefficient and stagnant, or at least, they were not all so backward. The spirit that motivated cotton manufactures extended also to activities as varied as hardware and haberdashery, arms, and apparel.”

Phyllis Deane (1968, 96) estimates growth of United Kingdom gross national product (GNP) at around 2 percent per year for several decades in the nineteenth century. The facts that the terms of trade of Great Britain deteriorated during the period of epochal innovation and high rates of economic growth while the income terms of trade of the coffee economy of nineteenth-century Brazil improved at the average yearly rate of 4.0 percent from 1857 to 1906 disprove the hypothesis of weakness of trade as an explanation of relatively lower income and wealth. As Temin (1997) concludes, Britain did pass on lower prices and higher quality the benefits of technical innovation. Explanation of late modernization must focus on laborious historical research on institutions and economic regimes together with economic theory, data gathering and measurement instead of grand generalizations of weakness of trade and alleged neocolonial dependence (Stein and Stein 1970, 134-5):

“Great Britain, technologically and industrially advanced, became as important to the Latin American economy as to the cotton-exporting southern United States. [After Independence in the nineteenth century] Latin America fell back upon traditional export activities, utilizing the cheapest available factor of production, the land, and the dependent labor force.”

The experience of the United Kingdom with deflation and economic growth is relevant and rich. Table IE-1 uses yearly percentage changes of the composite index of prices of the United Kingdom of O’Donoghue and Goulding (2004). There are 73 declines of inflation in the 145 years from 1751 to 1896. Prices declined in 50.3 percent of 145 years. Some price declines were quite sharp and many occurred over several years. Table IE-1 also provides yearly percentage changes of the UK composite price index of O’Donoghue and Goulding (2004) from 1929 to 1934. Deflation was much sharper in continuous years in earlier periods than during the Great Depression. The United Kingdom could not have led the world in modern economic growth if there were meaningful causality from deflation to depression.

Table IE-1, United Kingdom, Negative Percentage Changes of Composite Price Index, 1751-1896, 1929-1934, Yearly ∆%

Year	∆%	Year	∆%	Year	∆%	Year	∆%
1751	-2.7	1797	-10.0	1834	-7.8	1877	-0.7
1753	-2.7	1798	-2.2	1841	-2.3	1878	-2.2
1755	-6.0	1802	-23.0	1842	-7.6	1879	-4.4
1758	-0.3	1803	-5.9	1843	-11.3	1881	-1.1
1759	-7.9	1806	-4.4	1844	-0.1	1883	-0.5
1760	-4.5	1807	-1.9	1848	-12.1	1884	-2.7
1761	-4.5	1811	-2.9	1849	-6.3	1885	-3.0
1768	-1.1	1814	-12.7	1850	-6.4	1886	-1.6
1769	-8.2	1815	-10.7	1851	-3.0	1887	-0.5
1770	-0.4	1816	-8.4	1857	-5.6	1893	-0.7
1773	-0.3	1819	-2.5	1858	-8.4	1894	-2.0
1775	-5.6	1820	-9.3	1859	-1.8	1895	-1.0
1776	-2.2	1821	-12.0	1862	-2.6	1896	-0.3
1777	-0.4	1822	-13.5	1863	-3.6	1929	-0.9
1779	-8.5	1826	-5.5	1864	-0.9	1930	-2.8
1780	-3.4	1827	-6.5	1868	-1.7	1931	-4.3
1785	-4.0	1828	-2.9	1869	-5.0	1932	-2.6
1787	-0.6	1830	-6.1	1874	-3.3	1933	-2.1
1789	-1.3	1832	-7.4	1875	-1.9	1934	0.0
1791	-0.1	1833	-6.1	1876	-0.3

Source:

O’Donoghue, Jim and Louise Goulding, 2004. Consumer Price Inflation since 1750. UK Office for National Statistics Economic Trends 604, Mar 2004, 38-46.

Lucas (2011May) estimates US economic growth in the long-term at 3 percent per year and about 2 percent per year in per capita terms. There are displacements from this trend caused by events such as wars and recessions but the economy then returns to trend. Historical US GDP data exhibit remarkable growth: Lucas (2011May) estimates an increase of US real income per person by a factor of 12 in the period from 1870 to 2010. The explanation by Lucas (2011May) of this remarkable growth experience is that government provided stability and education while elements of “free-market capitalism” were an important driver of long-term growth and prosperity. The analysis is sharpened by comparison with the long-term growth experience of G7 countries (US, UK, France, Germany, Canada, Italy and Japan) and Spain from 1870 to 2010. Countries benefitted from “common civilization” and “technology” to “catch up” with the early growth leaders of the US and UK, eventually growing at a faster rate. Significant part of this catch up occurred after World War II. If deflation causes depressions as embedded in the theory of unconventional monetary policy, the United Kingdom would not have been a growth leader in the nineteenth century while staying almost half of the time in deflation.

The eminent economist and historian Professor Rondo E. Cameron (1989, 3) searches for the answer of “why are some nations rich and others poor?” by analyzing economic history since Paleolithic times. Cameron (1989, 4) argues that:

“Policymakers and their staffs of experts, faced with the responsibility of proposing and implementing policies for development, frequently shrug off the potential contributions of historical analysis to the solution of their problems with the observation that the contemporary situation is unique and therefore history is irrelevant to their concerns. Such an attitude contains a double fallacy. In the first place, those who are ignorant of the past are not qualified to generalize about it. Second, it implicitly denies the uniformity of nature, including human behavior and the behavior of social institutions—an assumption on which all scientific inquiry is founded. Such attitudes reveal how easy it is, without historical perspective, to mistake the symptoms of a problem for its causes.”

Scholars detached from practical issues of economic policy are more likely to discover sound knowledge (Cohen and Nagel 1934). There is troublesome sacrifice of rigorous scientific objectivity in cutting the economic past by a procrustean bed fitting favored current economic policies.

There is current interest in past theories of “secular stagnation.” Alvin H. Hansen (1939, 4, 7; see Hansen 1938, 1941; for an early critique see Simons 1942) argues:

“Not until the problem of full employment of our productive resources from the long-run, secular standpoint was upon us, were we compelled to give serious consideration to those factors and forces in our economy which tend to make business recoveries weak and anaemic (sic) and which tend to prolong and deepen the course of depressions. This is the essence of secular stagnation-sick recoveries which die in their infancy and depressions which feed on themselves and leave a hard and seemingly immovable core of unemployment. Now the rate of population growth must necessarily play an important role in determining the character of the output; in other words, the com-position of the flow of final goods. Thus a rapidly growing population will demand a much larger per capita volume of new residential building construction than will a stationary population. A stationary population with its larger proportion of old people may perhaps demand more personal services; and the composition of consumer demand will have an important influence on the quantity of capital required. The demand for housing calls for large capital outlays, while the demand for personal services can be met without making large investment expenditures. It is therefore not unlikely that a shift from a rapidly growing population to a stationary or declining one may so alter the composition of the final flow of consumption goods that the ratio of capital to output as a whole will tend to decline.”

In the analysis of Hansen (1939, 3) of secular stagnation, economic progress consists of growth of real income per person driven by growth of productivity. The “constituent elements” of economic progress are “(a) inventions, (b) the discovery and development of new territory and new resources, and (c) the growth of population” (Hansen 1939, 3). Secular stagnation originates in decline of population growth and discouragement of inventions. According to Hansen (1939, 2), US population grew by 16 million in the 1920s but grew by one half or about 8 million in the 1930s with forecasts at the time of Hansen’s writing in 1938 of growth of around 5.3 million in the 1940s. Hansen (1939, 2) characterized demography in the US as “a drastic decline in the rate of population growth. Hansen’s plea was to adapt economic policy to stagnation of population in ensuring full employment. In the analysis of Hansen (1939, 8), population caused half of the growth of US GDP per year. Growth of output per person in the US and Europe was caused by “changes in techniques and to the exploitation of new natural resources.” In this analysis, population caused 60 percent of the growth of capital formation in the US. Declining population growth would reduce growth of capital formation. Residential construction provided an important share of growth of capital formation. Hansen (1939, 12) argues that market power of imperfect competition discourages innovation with prolonged use of obsolete capital equipment. Trade unions would oppose labor-savings innovations. The combination of stagnating and aging population with reduced innovation caused secular stagnation. Hansen (1939, 12) concludes that there is role for public investments to compensate for lack of dynamism of private investment but with tough tax/debt issues.

The argument that anemic population growth causes “secular stagnation” in the US (Hansen 1938, 1939, 1941) is as misplaced currently as in the late 1930s (for early dissent see Simons 1942). The reality is not secular stagnation but current cyclical slow growth. Youth workers would obtain employment at a premium in an economy with declining population. In fact, there is currently population growth in the ages of 16 to 24 years but not enough job creation and discouragement of job searches for all ages. This is merely another case of theory without reality with dubious policy proposals. Inferior performance of the US economy and labor markets is the critical current issue of analysis and policy design.

In revealing research, Edward P. Lazear and James R. Spletzer (2012JHJul22) use the wealth of data in the valuable database and resources of the Bureau of Labor Statistics (http://www.bls.gov/data/) in providing clear thought on the nature of the current labor market of the United States. The critical issue of analysis and policy currently is whether unemployment is structural or cyclical. Structural unemployment could occur because of (1) industrial and demographic shifts and (2) mismatches of skills and job vacancies in industries and locations. Consider the aggregate unemployment rate, Y, expressed in terms of share s_i of a demographic group in an industry i and unemployment rate y_i of that demographic group (Lazear and Spletzer 2012JHJul22, 5-6):

Y = ∑_is_iy_i (1)

This equation can be decomposed for analysis as (Lazear and Spletzer 2012JHJul22, 6):

∆Y = ∑_i∆s_iy*_i + ∑_i∆y_is*_i (2)

The first term in (2) captures changes in the demographic and industrial composition of the economy ∆s_i multiplied by the average rate of unemployment y*_i , or structural factors. The second term in (2) captures changes in the unemployment rate specific to a group, or ∆y_i, multiplied by the average share of the group s*_i, or cyclical factors. There are also mismatches in skills and locations relative to available job vacancies. A simple observation by Lazear and Spletzer (2012JHJul22) casts intuitive doubt on structural factors: the rate of unemployment jumped from 4.4 percent in the spring of 2007 to 10 percent in October 2009. By nature, structural factors should be permanent or occur over relative long periods. The revealing result of the exhaustive research of Lazear and Spletzer (2012JHJul22) is:

“The analysis in this paper and in others that we review do not provide any compelling evidence that there have been changes in the structure of the labor market that are capable of explaining the pattern of persistently high unemployment rates. The evidence points to primarily cyclic factors.”

Table I-4b and Chart I-12-b provide the US labor force participation rate or percentage of the labor force in population. It is not likely that simple demographic trends caused the sharp decline during the global recession and failure to recover earlier levels. The civilian labor force participation rate dropped from the peak of 66.9 percent in Jul 2006 to 62.6 percent in Dec 2013 and 62.7 percent in Feb 2014. The civilian labor force participation rate was 63.7 percent on an annual basis in 1979 and 63.4 percent in Dec 1980 and Dec 1981, reaching even 62.9 percent in both Apr and May 1979. The civilian labor force participation rate jumped with the recovery to 64.8 percent on an annual basis in 1985 and 65.9 percent in Jul 1985. Structural factors cannot explain these sudden changes vividly shown visually in the final segment of Chart I-12b. Seniors would like to delay their retiring especially because of the adversities of financial repression on their savings. Labor force statistics are capturing the disillusion of potential workers with their chances in finding a job in what Lazear and Spletzer (2012JHJul22) characterize as accentuated cyclical factors. The argument that anemic population growth causes “secular stagnation” in the US (Hansen 1938, 1939, 1941) is as misplaced currently as in the late 1930s (for early dissent see Simons 1942). There is currently population growth in the ages of 16 to 24 years but not enough job creation and discouragement of job searches for all ages (http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html). “Secular stagnation” would be a process over many years and not from one year to another. This is merely another case of theory without reality with dubious policy proposals.

Table I-4b, US, Labor Force Participation Rate, Percent of Labor Force in Population, NSA, 1979-2014

Year	Jan	Feb	Jul	Aug	Sep	Oct	Nov	Dec	Annual
1979	62.9	63.0	64.9	64.5	63.8	64.0	63.8	63.8	63.7
1980	63.3	63.2	65.1	64.5	63.6	63.9	63.7	63.4	63.8
1981	63.2	63.2	65.0	64.6	63.5	64.0	63.8	63.4	63.9
1982	63.0	63.2	65.3	64.9	64.0	64.1	64.1	63.8	64.0
1983	63.3	63.2	65.4	65.1	64.3	64.1	64.1	63.8	64.0
1984	63.3	63.4	65.9	65.2	64.4	64.6	64.4	64.3	64.4
1985	64.0	64.0	65.9	65.4	64.9	65.1	64.9	64.6	64.8
1986	64.2	64.4	66.6	66.1	65.3	65.5	65.4	65.0	65.3
1987	64.7	64.8	66.8	66.5	65.5	65.9	65.7	65.5	65.6
1988	65.1	65.2	67.1	66.8	65.9	66.1	66.2	65.9	65.9
1989	65.8	65.6	67.7	67.2	66.3	66.6	66.7	66.3	66.5
1990	66.0	66.0	67.7	67.1	66.4	66.5	66.3	66.1	66.5
1991	65.5	65.7	67.3	66.6	66.1	66.1	66.0	65.8	66.2
1992	65.7	65.8	67.9	67.2	66.3	66.2	66.2	66.1	66.4
1993	65.6	65.8	67.5	67.0	66.1	66.4	66.3	66.2	66.3
1994	66.0	66.2	67.5	67.2	66.5	66.8	66.7	66.5	66.6
1995	66.1	66.2	67.7	67.1	66.5	66.7	66.5	66.2	66.6
1996	65.8	66.1	67.9	67.2	66.8	67.1	67.0	66.7	66.8
1997	66.4	66.5	68.1	67.6	67.0	67.1	67.1	67.0	67.1
1998	66.6	66.7	67.9	67.3	67.0	67.1	67.1	67.0	67.1
1999	66.7	66.8	67.9	67.3	66.8	67.0	67.0	67.0	67.1
2000	66.8	67.0	67.6	67.2	66.7	66.9	66.9	67.0	67.1
2001	66.8	66.8	67.4	66.8	66.6	66.7	66.6	66.6	66.8
2002	66.2	66.6	67.2	66.8	66.6	66.6	66.3	66.2	66.6
2003	66.1	66.2	66.8	66.3	65.9	66.1	66.1	65.8	66.2
2004	65.7	65.7	66.8	66.2	65.7	66.0	66.1	65.8	66.0
2005	65.4	65.6	66.8	66.5	66.1	66.2	66.1	65.9	66.0
2006	65.5	65.7	66.9	66.5	66.1	66.4	66.4	66.3	66.2
2007	65.9	65.8	66.8	66.1	66.0	66.0	66.1	65.9	66.0
2008	65.7	65.5	66.8	66.4	65.9	66.1	65.8	65.7	66.0
2009	65.4	65.5	66.2	65.6	65.0	64.9	64.9	64.4	65.4
2010	64.6	64.6	65.3	65.0	64.6	64.4	64.4	64.1	64.7
2011	63.9	63.9	64.6	64.3	64.2	64.1	63.9	63.8	64.1
2012	63.4	63.6	64.3	63.7	63.6	63.8	63.5	63.4	63.7
2013	63.3	63.2	64.0	63.4	63.2	62.9	62.9	62.6	63.2
2014	62.5	62.7

Source: US Bureau of Labor Statistics

http://www.bls.gov/cps/

Chart I-12b, US, Labor Force Participation Rate, Percent of Labor Force in Population, NSA, 1979-2014

Source: Bureau of Labor Statistics

http://www.bls.gov/data/

Broader perspective is provided by Chart I-12c of the US Bureau of Labor Statistics. The United States civilian noninstitutional population has increased along a consistent trend since 1948 that continued through earlier recessions and the global recession from IVQ2007 to IIQ2009 and the cyclical expansion after IIIQ2009.

Chart I-12c, US, Civilian Noninstitutional Population, Thousands, NSA, 1948-2014

Sources: US Bureau of Labor Statistics

http://www.bls.gov/data/

The labor force of the United States in Chart I-12d has increased along a trend similar to that of the civilian noninstitutional population in Chart I-12c. There is an evident stagnation of the civilian labor force in the final segment of Chart I-12d during the current economic cycle. This stagnation is explained by cyclical factors similar to those analyzed by Lazear and Spletzer (2012JHJul22) that motivated an increasing population to drop out of the labor force instead of structural factors. Large segments of the potential labor force are not observed, constituting unobserved unemployment and of more permanent nature because those afflicted have been seriously discouraged from working by the lack of opportunities.

Chart I-12d, US, Labor Force, Thousands, NSA, 1948-2014

Sources: US Bureau of Labor Statistics

http://www.bls.gov/data/

Table EMP provides the comparison between the labor market in the current whole cycle from 2007 to 2013 and the whole cycle from 1979 to 1986. In the entire cycle from 2007 to 2013, the number employed fell 2.118 million, full-time employed fell 4.777 million, part-time for economic reasons increased 3.534 and population increased 13.812 million. The number employed fell 1.5 percent, full-time employed fell 3.9 percent, part-time for economic reasons increased 80.3 percent and population increased 6.0 percent. There is sharp contrast with the contractions of the 1980s and with most economic history of the United States. In the whole cycle from 1979 to 1986, the number employed increased 10.773 million, full-time employed increased 7.875 million, part-time for economic reasons 2.011 million and population 15.724 million. In the entire cycle from 1979 to 1986, the number employed increased 10.9 percent, full-time employed 9.5 percent, part-time for economic reasons 56.2 percent and population 9.5 million. The difference between the 1980s and the current cycle after 2007 is in the high rate of growth after the contraction that maintained trend growth around 3.0 percent for the entire cycle and per capital growth at 2.0 percent. The evident fact is that current weakness in labor markets originates in cyclical slow growth and not in imaginary secular stagnation.

Table EMP, US, Annual Level of Employed, Full-Time Employed, Employed Part-Time for Economic Reasons and Noninstitutional Civilian Population, Millions

	Employed	Full-Time Employed	Part Time Economic Reasons	Noninstitutional Civilian Population
2000s
2000	136.891	113.846	3.227	212.577
2001	136.933	113.573	3.715	215.092
2002	136.485	112.700	4.213	217.570
2003	137.736	113.324	4.701	221.168
2004	139.252	114.518	4.567	223.357
2005	141.730	117.016	4.350	226.082
2006	144.427	119.688	4.162	228.815
2007	146.047	121.091	4.401	231.867
2008	145.362	120.030	5.875	233.788
2009	139.877	112.634	8.913	235.801
2010	139.064	111.714	8.874	237.830
2011	139.869	112.556	8.560	239.618
2012	142.469	114.809	8.122	243.284
2013	143.929	116.314	7.935	245.679
∆2007-2013	-2.118	-4.777	3.534	13.812
∆% 2007-2013	-1.5	-3.9	80.3	6.0
1980s
1979	98.824	82.654	3.577	164.863
1980	99.303	82.562	4.321	167.745
1981	100.397	83.243	4.768	170.130
1982	99.526	81.421	6.170	172.271
1983	100.834	82.322	6.266	174.215
1984	105.005	86.544	5.744	176.383
1985	107.150	88.534	5.590	178.206
1986	109.597	90.529	5.588	180.587
1987	112.440	92.957	5.401	182.753
1988	114.968	95.214	5.206	184.613
1989	117.342	97.369	4.894	186.393
∆1979-1986	10.773	7.875	2.011	15.724
∆% 1979-86	10.9	9.5	56.2	9.5

Source: Bureau of Labor Statistics

http://www.bls.gov/

There is current interest in past theories of “secular stagnation.” Alvin H. Hansen (1939, 4, 7; see Hansen 1938, 1941; for an early critique see Simons 1942) argues:

“Not until the problem of full employment of our productive resources from the long-run, secular standpoint was upon us, were we compelled to give serious consideration to those factors and forces in our economy which tend to make business recoveries weak and anaemic (sic) and which tend to prolong and deepen the course of depressions. This is the essence of secular stagnation-sick recoveries which die in their infancy and depressions which feed on them-selves and leave a hard and seemingly immovable core of unemployment. Now the rate of population growth must necessarily play an important role in determining the character of the output; in other words, the com-position of the flow of final goods. Thus a rapidly growing population will demand a much larger per capita volume of new residential building construction than will a stationary population. A stationary population with its larger proportion of old people may perhaps demand more personal services; and the composition of consumer demand will have an important influence on the quantity of capital required. The demand for housing calls for large capital outlays, while the demand for personal services can be met without making large investment expenditures. It is therefore not unlikely that a shift from a rapidly growing population to a stationary or declining one may so alter the composition of the final flow of consumption goods that the ratio of capital to output as a whole will tend to decline.”

The argument that anemic population growth causes “secular stagnation” in the US (Hansen 1938, 1939, 1941) is as misplaced currently as in the late 1930s (for early dissent see Simons 1942). Youth workers would obtain employment at a premium in an economy with declining population. In fact, there is currently population growth in the ages of 16 to 24 years but not enough job creation and discouragement of job searches for all ages. This is merely another case of theory without reality with dubious policy proposals. Inferior performance of the US economy and labor markets is the critical current issue of analysis and policy design.

In revealing research, Edward P. Lazear and James R. Spletzer (2012JHJul22) use the wealth of data in the valuable database and resources of the Bureau of Labor Statistics (http://www.bls.gov/data/) in providing clear thought on the nature of the current labor market of the United States. The critical issue of analysis and policy currently is whether unemployment is structural or cyclical. Structural unemployment could occur because of (1) industrial and demographic shifts and (2) mismatches of skills and job vacancies in industries and locations. Consider the aggregate unemployment rate, Y, expressed in terms of share s_i of a demographic group in an industry i and unemployment rate y_i of that demographic group (Lazear and Spletzer 2012JHJul22, 5-6):

Y = ∑_is_iy_i (1)

This equation can be decomposed for analysis as (Lazear and Spletzer 2012JHJul22, 6):

∆Y = ∑_i∆s_iy*_i + ∑_i∆y_is*_i (2)

The first term in (2) captures changes in the demographic and industrial composition of the economy ∆s_i multiplied by the average rate of unemployment y*_i , or structural factors. The second term in (2) captures changes in the unemployment rate specific to a group, or ∆y_i, multiplied by the average share of the group s*_i, or cyclical factors. There are also mismatches in skills and locations relative to available job vacancies. A simple observation by Lazear and Spletzer (2012JHJul22) casts intuitive doubt on structural factors: the rate of unemployment jumped from 4.4 percent in the spring of 2007 to 10 percent in October 2009. By nature, structural factors should be permanent or occur over relative long periods. The revealing result of the exhaustive research of Lazear and Spletzer (2012JHJul22) is:

“The analysis in this paper and in others that we review do not provide any compelling evidence that there have been changes in the structure of the labor market that are capable of explaining the pattern of persistently high unemployment rates. The evidence points to primarily cyclic factors.”

The theory of secular stagnation cannot explain sudden collapse of the US economy and labor markets. There are accentuated cyclic factors for both the entire population and the young population of ages 16 to 24 years. Table Summary provides the total noninstitutional population (ICP) of the US, full-time employment level (FTE), employment (EMP), civilian labor force (CLF), civilian labor force participation rate (CLFP), employment/population ratio (EPOP) and unemployment level (UNE). Secular stagnation would not be secular but immediate. All indicators of the labor market weakened sharply during the contraction and did not recover. Population continued to grow but all other variables collapsed and did not recover. The theory of secular stagnation departs from an aggregate production function in which output grows with the use of labor, capital and technology (see Pelaez and Pelaez, Globalization and the State, Vol. I (2008a), 11-6). Hansen (1938, 1939) finds secular stagnation in lower growth of an aging population. In the current US economy, Table Summary shows that population is dynamic while the labor market is fractured. There is key explanation in the behavior of the civilian labor force participation rate (CLFP) and the employment population ratio (EPOP) that collapsed during the global recession with inadequate recovery. Abandoning job searches are difficult to capture in labor statistics but likely explain the decline in the participation of the population in the labor force. Allowing for abandoning job searches, the total number of people unemployed or underemployed is 29.1 million or 17.8 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2014/03/rules-discretionary-authorities-and.html).

Table Summary Total, US, Total Noninstitutional Civilian Population, Full-time Employment, Employment, Civilian Labor Force, Civilian Labor Force Participation Rate, Employment Population Ratio, Unemployment, NSA, Thousands and Percent

	ICP	FTE	EMP	CLF	CLFP	EPOP	UNE
2006	228.8	119.7	144.4	151.4	66.2	63.1	7.0
2009	235.8	112.6	139.9	154.1	65.4	59.3	14.3
2012	243.3	114.8	142.5	155.0	63.7	58.6	12.5
2013	245.7	116.3	143.9	155.4	63.2	58.6	11.5
12/07	233.2	121.0	146.3	153.7	65.9	62.8	7.4
9/09	236.3	112.0	139.1	153.6	65.0	58.9	14.5
1/14	247.1	116.3	144.1	155.0	62.7	58.3	10.9

ICP: Total Noninstitutional Civilian Population; FT: Full-time Employment Level, EMP: Total Employment Level; CLF: Civilian Labor Force; CLFP: Civilian Labor Force Participation Rate; EPOP: Employment Population Ratio; UNE: Unemployment

Source: Bureau of Labor Statistics

http://www.bls.gov/jlt/

The same situation is present in the labor market for young people in ages 16 to 24 years with data in Table Summary Youth. The youth noninstitutional civilian population (ICP) continued to increase during and after the global recession. There is the same disastrous labor market with decline for young people in employment (EMP), civilian labor force (CLF), civilian labor force participation rate (CLFP) and employment population ratio (EPOP). There are only increases for unemployment of young people (UNE) and youth unemployment rate (UNER). If aging were a factor of secular stagnation, growth of population of young people would attract a premium in remuneration in labor markets. The sad fact is that young people are also facing tough labor markets. The application of the theory of secular stagnation to the US economy and labor markets is void of reality in the form of key facts.

Table Summary Youth, US, Youth, Ages 16 to 24 Years, Noninstitutional Civilian Population, Full-time Employment, Employment, Civilian Labor Force, Civilian Labor Force Participation Rate, Employment Population Ratio, Unemployment, NSA, Thousands and Percent

	ICP	EMP	CLF	CLFP	EPOP	UNE	UNER
2006	36.9	20.0	22.4	60.6	54.2	2.4	10.5
2009	37.6	17.6	21.4	56.9	46.9	3.8	17.6
2012	38.7	17.8	21.3	54.9	46.0	3.5	16.2
2013	38.8	18.1	21.4	55.0	46.5	3.3	15.5
12/07	37.5	19.4	21.7	57.8	51.6	2.3	10.7
9/09	37.6	17.0	20.7	55.2	45.1	3.8	18.2
2/14	38.8	17.4	20.4	52.6	44.8	3.0	14.9

ICP: Youth Noninstitutional Civilian Population; EMP: Youth Employment Level; CLF: Youth Civilian Labor Force; CLFP: Youth Civilian Labor Force Participation Rate; EPOP: Youth Employment Population Ratio; UNE: Unemployment; UNER: Youth Unemployment Rate

Source: Bureau of Labor Statistics

http://www.bls.gov/jlt/

Nicholas Georgescu-Rogen (1960, 1) reprinted in Pelaez (1973) argues that “the agrarian economy has to this day remained a reality without theory.” The economic history of Latin America shares with the relation of deflation and unconventional monetary policy and secular stagnation when the event is cyclical slow growth a more frustrating intellectual misfortune: theory without reality. MacFarlane and Mortimer-Lee (1994, 159) quote in a different context a phrase by Thomas Henry Huxley in the President’s Address to the British Association for the Advancement of Science on Sep 14, 1870 that is appropriate to these issues: “The great tragedy of science—the slaying of a beautiful hypothesis by an ugly fact.” There may be current relevance in another quote from Thomas Henry Huxley: “The deepest sin against the human mind is to believe things without evidence.”

II United States Housing Collapse. The objective of this section is to provide the latest data and analysis of US housing. Subsection IIB1 United New House Sales analyzes the collapse of US new house sales. Subsection IIB2 United States House Prices considers the latest available data on house prices. Subsection IIB3 Factors of US Housing Collapse provides the analysis of the causes of the housing crisis of the US. IIB4 US Housing Prices provides the prices of houses.

IIB1 United States New House Sales. Data and other information continue to provide depressed conditions in the US housing market in a longer perspective, with recent improvement at the margin. Table IIB-1 shows sales of new houses in the US at seasonally adjusted annual equivalent rate (SAAR). House sales fell in nineteen of thirty-eight months from Jan 2011 to Feb 2014 but mostly concentrated in Jan-Feb 2011 and May-Aug 2011. In Jan-Apr 2012, house sales increased at the annual equivalent rate of 10.3 percent and at 23.5 percent in May-Sep 2012. There was significant strength in Sep-Dec 2011 with annual equivalent rate of 48.4 percent. Sales of new houses fell 0.5 percent in Dec 2012 and 4.9 percent in Oct 2012 with increase of 9.0 percent in Nov 2012. Sales of new houses rebounded 15.7 percent in Jan 2013 with annual equivalent rate of 69.9 percent from Oct 2012 to Jan 2013 because of the increase of 15.7 percent in Jan 2013. New house sales fell at annual equivalent 17.7 percent in Feb-Mar 2013. New house sales weakened, decreasing at 4.7 percent in annual equivalent from Apr to Dec 2013 with significant volatility illustrated by decline of 17.1 percent in Jul 2013 and increase of 12.2 percent in Oct 2013. House sales fell 1.6 percent in Dec 2013. New house sales increased 3.2 percent in Jan 2014 and fell 3.3 percent in Feb 2014 with annual equivalent rate of minus 0.5 percent in Jan-Feb 2014. Robbie Whelan and Conor Dougherty, writing on “Builders fuel home sale rise,” on Feb 26, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324338604578327982067761860.html), analyze how builders have provided financial assistance to home buyers, including those short of cash and with weaker credit background, explaining the rise in new home sales and the highest gap between prices of new and existing houses. The 30-year conventional mortgage rate increased from 3.40 on Apr 25, 2013 to 4.58 percent on Aug 22, 2013 (http://www.federalreserve.gov/releases/h15/data.htm), which could also be a factor in recent weakness with improvement after the rate fell to 4.26 in Nov 2013. The conventional mortgage rate rose to 4.48 percent on Dec 26, 2013 and fell to 4.32 percent on Jan 30, 2014. The conventional mortgage rate increased to 4.37 percent on Feb 26, 2014 and 4.40 percent on Mar 27, 2014. The conventional mortgage rate measured in a survey by Freddie Mac (http://www.freddiemac.com/pmms/release.html) is the “contract interest rate on commitments for fixed-rate first mortgages” (http://www.federalreserve.gov/releases/h15/data.htm).

Table IIB-1, US, Sales of New Houses at Seasonally-Adjusted (SA) Annual Equivalent Rate, Thousands and % 

	SA Annual Rate Thousands	∆%
Feb 2014	440	-3.3
Jan 2014	455	3.2
AE ∆% Jan-Feb		-0.5
Dec 2013	441	-1.6
Nov	448	-0.9
Oct	452	12.2
Sep	403	3.9
Aug	388	4.0
Jul	373	-17.1
Jun	450	4.9
May	429	-3.8
Apr	446	0.7
AE ∆% Apr-Dec		-4.7
Mar	443	-0.4
Feb	445	-2.8
AE ∆% Feb-Mar		-17.7
Jan	458	15.7
Dec 2012	396	-0.5
Nov	398	9.0
Oct	365	-4.9
AE ∆% Oct-Jan		69.9
Sep	384	2.7
Aug	374	1.4
Jul	369	2.5
Jun	360	-2.4
May	369	4.8
AE ∆% May-Sep		23.5
Apr	352	0.9
Mar	349	-4.6
Feb	366	8.3
Jan	338	-0.9
AE ∆% Jan-Apr		10.3
Dec 2011	341	4.0
Nov	328	3.8
Oct	316	3.9
Sep	304	1.7
AE ∆% Sep-Dec		48.4
Aug	299	-1.7
Jul	296	-2.3
Jun	301	-1.3
May	305	-1.6
AE ∆% May-Aug		-18.9
Apr	310	3.3
Mar	300	11.1
Feb	270	-12.1
Jan	307	-5.8
AE ∆% Jan-Apr		-14.2
Dec 2010	326	13.6

AE: Annual Equivalent

Source: US Census Bureau

http://www.census.gov/construction/nrs/

There is additional information of the report of new house sales in Table IIB-2. The stock of unsold houses stabilized in Apr-Aug 2011 at average 6.6 monthly equivalent sales at current sales rates and then dropped to 4.6 in Jul-Aug 2012, increasing to 4.8 in Oct 2012, 4.5 in Nov 2012 and 4.5 percent in Dec 2012. Inventories dropped to 3.9 in Jan 2013 and 4.1 in Feb 2013. Inventories stabilized at 4.2-4.5 in Mar-Jun 2013 and increased to 5.5 in Jul 2013. Inventories fell to 5.4 in Aug 2013 and 5.4 in Sep 2013 but fell to 4.9 in Oct 2013. Inventories stood at 4.9 in Nov 2013 and 5.1 in Dec 2013. Inventories fell to 5.0 in Jan 2014 and increased to 5.2 in Feb 2014. Robbie Whelan and Conor Dougherty, writing on “Builders fuel home sale rise,” on Feb 26, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324338604578327982067761860.html), find that inventories of houses have declined as investors acquire distressed houses of higher quality. Median and average house prices oscillate. In Feb 2014, median prices of new houses sold not seasonally adjusted (NSA) increased 0.4 percent after decreasing 3.3 percent in Jan 2014. Average prices increased 1.5 percent in Feb 2014 and increased 1.1 percent in Jan 2014. Between Dec 2010 and Feb 2014 median prices increased 8.5 percent and average prices increased 8.8 percent. Between Dec 2010 and Dec 2012, median prices increased 7.1 percent and average prices increased 2.6 percent. Price increases concentrated in 2012 with increase of median prices of 18.2 percent from Dec 2011 to Dec 2012 and of average prices of 13.8 percent. Median prices increased 1.4 percent from Dec 2012 to Feb 2014 while average prices increased 6.1 percent. Robbie Williams, writing on “New homes hit record as builders cap supply,” on May 24, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323475304578500973445311276.html?mod=WSJ_economy_LeftTopHighlights), finds that homebuilders are continuing to restrict the number of new homes for sale. Restriction of available new homes for sale increases prices paid by buyers.

Table IIB-2, US, New House Stocks and Median and Average New Homes Sales Price

	Unsold* Stocks in Equiv. Months of Sales SA %	Median New House Sales Price USD NSA	Month ∆%	Average New House Sales Price USD NSA	Month ∆%
Feb 2014	5.2	261,800	0.4	317,500	1.5
Jan	5.0	260,800	-3.3	312,900	1.1
Dec 2013	5.1	269,600	-2.7	309,600	-7.7
Nov	4.9	277,100	4.8	335,600	0.0
Oct	4.9	264,300	-2.0	335,700	4.4
Sep	5.4	269,800	5.7	321,400	3.4
Aug	5.4	255,300	-2.6	310,800	-5.8
Jul	5.5	262,200	0.9	329,900	7.8
Jun	4.3	259,800	-1.5	306,100	-2.5
May	4.5	263,700	-5.6	314,000	-6.8
Apr	4.3	279,300	8.5	337,000	12.3
Mar	4.2	257,500	-2.9	300,200	-3.9
Feb	4.1	265,100	5.4	312,500	1.8
Jan	3.9	251,500	-2.6	306,900	2.6
Dec 2012	4.5	258,300	5.4	299,200	2.9
Nov	4.5	245,000	-0.9	290,700	1.9
Oct	4.8	247,200	-2.9	285,400	-4.1
Sep	4.5	254,600	0.6	297,700	-2.6
Aug	4.6	253,200	6.7	305,500	8.2
Jul	4.6	237,400	2.1	282,300	3.9
Jun	4.8	232,600	-2.8	271,800	-3.2
May	4.7	239,200	1.2	280,900	-2.4
Apr	4.9	236,400	-1.4	287,900	1.5
Mar	5.0	239,800	0.0	283,600	3.5
Feb	4.8	239,900	8.2	274,000	3.1
Jan	5.3	221,700	1.4	265,700	1.1
Dec 2011	5.3	218,600	2.0	262,900	5.2
Nov	5.7	214,300	-4.7	250,000	-3.2
Oct	6.0	224,800	3.6	258,300	1.1
Sep	6.3	217,000	-1.2	255,400	-1.5
Aug	6.5	219,600	-4.5	259,300	-4.1
Jul	6.7	229,900	-4.3	270,300	-1.0
Jun	6.6	240,200	8.2	273,100	3.9
May	6.6	222,000	-1.2	262,700	-2.3
Apr	6.7	224,700	1.9	268,900	3.1
Mar	7.2	220,500	0.2	260,800	-0.8
Feb	8.1	220,100	-8.3	262,800	-4.7
Jan	7.3	240,100	-0.5	275,700	-5.5
Dec 2010	7.0	241,200	9.8	291,700	3.5

*Percent of new houses for sale relative to houses sold

Source: US Census Bureau

http://www.census.gov/construction/nrs/

The depressed level of residential construction and new house sales in the US is evident in Table IIB-3 providing new house sales not seasonally adjusted in Jan-Feb of various years. Sales of new houses are virtually the same in Jan-Feb 2014 relative to Jan-Feb 2013. Sales of new houses in Jan-Feb 2014 are substantially lower than in any year between 1963 and 2013 with the exception of the years from 2009 to 2012. There are only three increases of 28.3 percent relative to Jan-Dec 2012, 58.1 percent relative to Jan-Dec 2011, 33.3 percent relative to Jan-Feb 2010 and 28.3 percent relative to Jan-Feb 2009. Sales of new houses in Jan-Feb 2014 are lower by 26.1 percent relative to Jan-Feb 2008, 49.3 percent relative to 2007, 61.6 percent relative to 2006 and 66.2 percent relative to 2005. The housing boom peaked in 2005 and 2006 when increases in fed funds rates to 5.25 percent in Jun 2006 from 1.0 percent in Jun 2004 affected subprime mortgages that were programmed for refinancing in two or three years on the expectation that price increases forever would raise home equity. Higher home equity would permit refinancing under feasible mortgages incorporating full payment of principal and interest (Gorton 2009EFM; see other references in http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html). Sales of new houses in Jan-Feb 2013 relative to the same period in 2004 fell 64.4 percent and 56.9 percent relative to the same period in 2003. Similar percentage declines are also observed for 2013 relative to years from 2000 to 2004. Sales of new houses in Jan-Feb 2014 fell 27.7 per cent relative to the same period in 1995. The population of the US was 179.3 million in 1960 and 281.4 million in 2000 (Hobbs and Stoops 2002, 16). Detailed historical census reports are available from the US Census Bureau at (http://www.census.gov/population/www/censusdata/hiscendata.html). The US population reached 308.7 million in 2010 (http://2010.census.gov/2010census/data/). The US population increased by 129.4 million from 1960 to 2010 or 72.2 percent. The final row of Table IIB-3 reveals catastrophic data: sales of new houses in Jan-Feb 2014 of 68 thousand units are lower by 11.7 percent relative to 77 thousand units of houses sold in Jan-Feb 1963, the first year when data become available. The civilian noninstitutional population increased from 123.360 million in Dec 1963 to 246.745 million in Dec 2013, or 100.0 percent (http://www.bls.gov/data/). The Bureau of Labor Statistics (BLS) defines the civilian noninstitutional population (http://www.bls.gov/lau/rdscnp16.htm#cnp): “The civilian noninstitutional population consists of persons 16 years of age and older residing in the 50 States and the District of Columbia who are not inmates of institutions (for example, penal and mental facilities and homes for the aged) and who are not on active duty in the Armed Forces.”

Table IIB-3, US, Sales of New Houses Not Seasonally Adjusted, Thousands and %

	Not Seasonally Adjusted Thousands
Jan-Feb 2014	68
Jan-Feb 2013	68
∆% Jan-Feb 2014/Jan-Feb 2013	-0.1*
Jan-Feb 2012	53
∆% Jan-Feb 2014/Jan-Feb 2012	28.3
Jan-Feb 2011	43
∆% Jan-Feb 2013/Jan-Feb 2011	58.1
Jan-Feb 2010	51
∆% Jan-Feb 2014/  Jan-Feb 2010	33.3
Jan-Feb 2009	53
∆% Jan-Feb 2014/  Jan-Feb 2009	28.3
Jan-Feb 2008	92
∆% Jan-Feb 2014/  Jan-Feb 2008	-26.1
Jan-Feb 2007	134
∆% Jan-Feb 2013/ Jan-Feb 2007	-49.3
Jan-Feb 2006	177
∆% Jan-Feb 2013/Jan-Feb 2006	-61.6
Jan-Feb 2005	201
∆% Jan-Feb 2013/Jan-Feb 2005	-66.2
Jan-Feb 2004	191
∆% Jan-Feb 2013/Jan-Feb 2004	-64.4
Jan-Feb 2003	158
∆% Jan-Feb 2013/ Jan-Feb  2003	-56.9
Jan-Feb 2002	150
∆% Jan-Feb 2013/ Jan-Feb 2002	-54.7
Jan-Feb 2001	157
∆% Jan-Feb 2013/ Jan-Feb 2001	-56.7
Jan-Feb 2000	145
∆% Jan-Feb 2013/ Jan-Feb 2000	-53.1
Jan-Feb 1995	94
∆% Jan-Feb 2013/ Jan-Feb 1995	-27.7
Jan-Feb 1963	77.0
∆% Jan-Feb 2013/ Jan-Feb 1963	-11.7

*Computed using unrounded data

Source: US Census Bureau

http://www.census.gov/construction/nrs/

Table IIB-4 provides the entire available annual series of new house sales from 1963 to 2013. The revised level of 306 thousand new houses sold in 2011 is the lowest since 560 thousand in 1963 in the 48 years of available data while the level of 368 thousand in 2012 is only higher than 323 thousand in 2010. The level of sales of new houses of 430 thousand in 2013 is the lowest from 1963 to 2009 with exception of 412 thousand in 1982. The population of the US increased 129.4 million from 179.3 million in 1960 to 308.7 million in 2010, or 72.2 percent. The civilian noninstitutional population of the US increased from 122.416 million in 1963 to 245.679 million in 2013 or 100.7 percent (http://www.bls.gov/data/). The Bureau of Labor Statistics (BLS) defines the civilian noninstitutional population (http://www.bls.gov/lau/rdscnp16.htm#cnp): “The civilian noninstitutional population consists of persons 16 years of age and older residing in the 50 States and the District of Columbia who are not inmates of institutions (for example, penal and mental facilities and homes for the aged) and who are not on active duty in the Armed Forces.”

The civilian noninstitutional population is the universe of the labor force. In fact, there is no year from 1963 to 2013 in Table IIA-4 with sales of new houses below 400 thousand with the exception of the immediately preceding years of 2009, 2010, 2011 and 2012.

Table IIB-4, US, New Houses Sold, NSA Thousands

1963	560
1964	565
1965	575
1966	461
1967	487
1968	490
1969	448
1970	485
1971	656
1972	718
1973	634
1974	519
1975	549
1976	646
1977	819
1978	817
1979	709
1980	545
1981	436
1982	412
1983	623
1984	639
1985	688
1986	750
1987	671
1988	676
1989	650
1990	534
1991	509
1992	610
1993	666
1994	670
1995	667
1996	757
1997	804
1998	886
1999	880
2000	877
2001	908
2002	973
2003	1,086
2004	1,203
2005	1,283
2006	1,051
2007	776
2008	485
2009	375
2010	323
2011	306
2012	368
2013	430

Source: US Census Bureau

http://www.census.gov/construction/nrs/

Chart IIB-1 of the US Bureau of the Census shows the sharp decline of sales of new houses in the US. Sales rose temporarily until about mid 2010 but then declined to a lower plateau followed by increase and stability.

Chart IIB-1, US, New One-Family Houses Sold in the US, SAAR (Seasonally Adjusted Annual Rate) 

Source: US Census Bureau

http://www.census.gov/briefrm/esbr/www/esbr051.html

Percentage changes and average rates of growth of new house sales for selected periods are shown in Table IIB-5. The percentage change of new house sales from 1963 to 2013 is minus 23.2 percent. Between 1991 and 2001, sales of new houses rose 78.4 percent at the average yearly rate of 6.0 percent. Between 1995 and 2005 sales of new houses increased 92.4 percent at the yearly rate of 6.8 percent. There are similar rates in all years from 2000 to 2005. The boom in housing construction and sales began in the 1980s and 1990s. The collapse of real estate culminated several decades of housing subsidies and policies to lower mortgage rates and borrowing terms (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009b), 42-8). Sales of new houses sold in 2013 fell 35.5 percent relative to the same period in 1995 and 66.5 percent relative to 2005.

Table IIB-5, US, Percentage Change and Average Yearly Rate of Growth of Sales of New One-Family Houses

	∆%	Average Yearly % Rate
1963-2013	-23.2	NA
1991-2001	78.4	6.0
1995-2005	92.4	6.8
2000-2005	46.3	7.9
1995-2013	-35.5	NA
2000-2013	-51.0	NA
2005-2013	-66.5	NA

NA: Not Applicable

Source: US Census Bureau

http://www.census.gov/construction/nrs/

Chart IIB-2 of the US Bureau of the Census provides the entire monthly sample of new houses sold in the US between Jan 1963 and Feb 2014 without seasonal adjustment. The series is almost stationary until the 1990s. There is sharp upward trend from the early 1990s to 2005-2006 after which new single-family houses sold collapse to levels below those in the beginning of the series in the 1960s.

Chart IIB-2, US, New Single-family Houses Sold, NSA, 1963-2014

Source: US Census Bureau

http://www.census.gov/construction/nrs/

The available historical annual data of median and average prices of new houses sold in the US between 1963 and 2013 is provided in Table IIB-6. On a yearly basis, median and average prices reached a peak in 2007 and then fell substantially. There is recovery in 2012-2013.

Table IIB-6, US, Median and Average Prices of New Houses Sold, Annual Data

Period	Median	Average
1963	$18,000	$19,300
1964	$18,900	$20,500
1965	$20,000	$21,500
1966	$21,400	$23,300
1967	$22,700	$24,600
1968	$24,700	$26,600
1969	$25,600	$27,900
1970	$23,400	$26,600
1971	$25,200	$28,300
1972	$27,600	$30,500
1973	$32,500	$35,500
1974	$35,900	$38,900
1975	$39,300	$42,600
1976	$44,200	$48,000
1977	$48,800	$54,200
1978	$55,700	$62,500
1979	$62,900	$71,800
1980	$64,600	$76,400
1981	$68,900	$83,000
1982	$69,300	$83,900
1983	$75,300	$89,800
1984	$79,900	$97,600
1985	$84,300	$100,800
1986	$92,000	$111,900
1987	$104,500	$127,200
1988	$112,500	$138,300
1989	$120,000	$148,800
1990	$122,900	$149,800
1991	$120,000	$147,200
1992	$121,500	$144,100
1993	$126,500	$147,700
1994	$130,000	$154,500
1995	$133,900	$158,700
1996	$140,000	$166,400
1997	$146,000	$176,200
1998	$152,500	$181,900
1999	$161,000	$195,600
2000	$169,000	$207,000
2001	$175,200	$213,200
2002	$187,600	$228,700
2003	$195,000	$246,300
2004	$221,000	$274,500
2005	$240,900	$297,000
2006	$246,500	$305,900
2007	$247,900	$313,600
2008	$232,100	$292,600
2009	$216,700	$270,900
2010	$221,800	$272,900
2011	$227,200	$267,900
2012	$245,200	$292,200
2013	$267,700	$323,000

Source: US Census Bureau

http://www.census.gov/construction/nrs/

Percentage changes of median and average prices of new houses sold in selected years are shown in Table IIB-7. Prices rose sharply between 2000 and 2005. In fact, prices in 2013 are higher than in 2000. Between 2006 and 2013, median prices of new houses sold increased 8.6 percent and average prices increased 5.6 percent. Between 2012 and 2013, median prices increased 9.2 percent and average prices increased 10.5 percent.

Table IIB-7, US, Percentage Change of New Houses Median and Average Prices, NSA, ∆%

	Median New  Home Sales Prices ∆%	Average New Home Sales Prices ∆%
∆% 2000 to 2003	15.4	18.9
∆% 2000 to 2005	42.5	43.5
∆% 2000 to 2013	57.3	55.0
∆% 2005 to 2013	10.4	8.5
∆% 2000 to 2006	45.9	47.8
∆% 2006 to 2013	8.6	5.6
∆% 2009 to 2013	23.5	19.2
∆% 2010 to 2013	20.7	18.4
∆% 2011 to 2013	17.8	20.6
∆% 2012 to 2013	9.2	10.5

Source: US Census Bureau

http://www.census.gov/construction/nrs/

Chart IIB-3 of the US Census Bureau provides the entire series of new single-family sales median prices from Jan 1963 to Feb 2014. There is long-term sharp upward trend with few declines until the current collapse. Median prices increased sharply during the Great Inflation of the 1960s and 1970s and paused during the savings and loans crisis of the late 1980s and the recession of 1991. Housing subsidies throughout the 1990s caused sharp upward trend of median new house prices that accelerated after the fed funds rate of 1 percent from 2003 to 2004. There was sharp reduction of prices after 2006 with recovery recently toward earlier prices.

Chart IIB-3, US, Median Sales Price of New Single-family Houses Sold, US Dollars, NSA, 1963-2014

Source: US Census Bureau

http://www.census.gov/construction/nrs/

Chart IIB-4 of the US Census Bureau provides average prices of new houses sold from the mid-1970s to Jan 2014. There is similar behavior as with median prices of new houses sold in Chart IIB-3. The only stress occurred in price pauses during the savings and loans crisis of the late 1980s and the collapse after 2006 with recent recovery.

Chart IIB-4, US, Average Sales Price of New Single-family Houses Sold, US Dollars, NSA, 1975-2013

Source: US Census Bureau

http://www.census.gov/construction/nrs/

Chart IIB-5 of the Board of Governors of the Federal Reserve System provides the rate for the 30-year conventional mortgage, the yield of the 30-year Treasury bond and the rate of the overnight federal funds rate, monthly, from 1971 to 2014. All rates decline throughout the period from the Great Inflation of the 1970s through the following Great Moderation and until currently. In Apr 1971, the fed funds rate was 4.15 percent and the conventional mortgage rate 7.31 percent. In November 2012, the fed funds rate was 0.16 percent, the yield of the 30-year Treasury 2.80 percent and the conventional mortgage rate 3.35. The final segment shows an increase in the yield of the 30-year Treasury to 3.61 percent in July 2013 with the fed funds rate at 0.09 percent and the conventional mortgage at 4.37 percent. The final data point shows marginal decrease of the conventional mortgage rate to 4.30 percent in Feb 2014 with the yield of the 30-year Treasury bond at 3.66 percent and overnight rate on fed funds at 0.07 percent. The recent increase in interest rates if sustained could affect the US real estate market.

Chart IIB-5, US, Thirty-year Conventional Mortgage, Thirty-year Treasury Bond and Overnight Federal Funds Rate, Monthly, 1954-2014

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H15/default.htm

Table IIB-8 provides the monthly data in Chart IIB-5 from Dec 2012 to Feb 2014. While the fed funds rate fell from 0.16 percent in Dec 2012, the yield of the constant maturity 30-year Treasury bond rose from 2.88 percent in Dec 2012 to 3.77 percent in Jan 2014 and the conventional mortgage rate increased from 3.35 percent in Dec 2012 to 4.43 percent in Jan 2014. In Feb 2014, the fed funds rate stabilized at 0.07 percent with decline to 3.66 percent of the 30-year yield and decline to 4.30 percent of the conventional mortgage rate.

Table IIB-8, US, Fed Funds Rate, Thirty Year Treasury Bond and Conventional Mortgage Rate, Monthly, Percent Per Year, Dec 2012 to Feb 2014

	Fed Funds Rate	Thirty-Year Treasury Constant Maturity Yield	Conventional Mortgage Rate
2012-12	0.16	2.88	3.35
2013-01	0.14	3.08	3.41
2013-02	0.15	3.17	3.53
2013-03	0.14	3.16	3.57
2013-04	0.15	2.93	3.45
2013-05	0.11	3.11	3.54
2013-06	0.09	3.40	4.07
2013-07	0.09	3.61	4.37
2013-08	0.08	3.76	4.46
2013-09	0.08	3.79	4.49
2013-10	0.09	3.68	4.19
2013-11	0.08	3.80	4.26
2013-12	0.09	3.89	4.46
2014-01	0.07	3.77	4.43
2014-02	0.07	3.66	4.30

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H15/default.htm

Table IIB-8B provides annual data of the fed funds rate, 30-year Treasury constant maturity yield and the conventional mortgage rate. The fed funds rate fell from 6.24 percent in 2000 to 1.13 percent in 2013 and 1.35 percent in 2004. The 30-year Treasury constant maturity yield fell from 5.94 percent in 2001 to 5.43 percent. Auctions of the 30-year Treasury were suspended in 2003 to 2005 with the objective of increasing prices of 30-year mortgage-backed securities or equivalently decline in yields and mortgage rates in an early version of quantitative easing. The conventional mortgage rate fell from 8.06 percent in 2000 to less than 6 percent in 2003 to 2005. The financial crisis and global recession were caused by interest rate and housing subsidies and affordability policies that encouraged high leverage and risks, low liquidity and unsound credit (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 157-66, Regulation of Banks and Finance (2009b), 217-27, International Financial Architecture (2005), 15-18, The Global Recession Risk (2007), 221-5, Globalization and the State Vol. II (2008b), 197-213, Government Intervention in Globalization (2008c), 182-4). Several past comments of this blog elaborate on these arguments, among which: http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html http://cmpassocregulationblog.blogspot.com/2011/01/professor-mckinnons-bubble-economy.html http://cmpassocregulationblog.blogspot.com/2011/01/world-inflation-quantitative-easing.html http://cmpassocregulationblog.blogspot.com/2011/01/treasury-yields-valuation-of-risk.html http://cmpassocregulationblog.blogspot.com/2010/11/quantitative-easing-theory-evidence-and.html http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html The housing boom peaked in 2005 and 2006 when increases in fed funds rates to 5.25 percent in Jun 2006 from 1.0 percent in Jun 2004 affected subprime mortgages that were programmed for refinancing in two or three years on the expectation that price increases forever would raise home equity. Higher home equity would permit refinancing under feasible mortgages incorporating full payment of principal and interest (Gorton 2009EFM; see other references in http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html). Virtually the same policy has been in effect since 2008. There is no painless exit from zero interest rates without threat of financial and economic stress.

Table IIB-8B, US, Fed Funds Rate, Thirty Year Treasury Bond and Conventional Mortgage Rate, Annual, Percent Per Year, 1999-2013

	Fed Funds Rate	Thirty-Year Treasury Constant Maturity Yield	Conventional Mortgage Rate
1999	4.97	5.87	7.43
2000	6.24	5.94	8.06
2001	3.88	5.49	6.97
2002	1.67	5.43	6.54
2003	1.13	ND	5.82
2004	1.35	ND	5.84
2005	3.22	ND	5.86
2006	4.97	4.91	6.41
2007	5.02	4.84	6.34
2008	1.92	4.28	6.04
2009	0.16	4.08	5.04
2010	0.18	4.25	4.69
2011	0.1	3.91	4.46
2012	0.14	2.92	3.66
2013	0.11	3.45	3.98

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H15/default.htm

IIB4 United States House Prices. The Federal Housing Finance Agency (FHFA), which regulates Fannie Mae and Freddie Mac, provides the FHFA House Price Index (HPI) that “is calculated using home sales price information from Fannie Mae and Freddie Mac-acquired mortgages” (http://fhfa.gov/webfiles/24216/q22012hpi.pdf 1). Table IIA2-1 provides the FHFA HPI for purchases only, which shows behavior similar to that of the Case-Shiller index but with lower magnitudes. House prices catapulted from 2000 to 2003, 2005 and 2006. From IVQ2000 to IVQ2006, the index for the US as a whole rose 55.1 percent, with 62.2 percent for New England, 72.1 percent for Middle Atlantic, 71.1 percent for South Atlantic but only by 33.2 percent for East South Central. Prices fell relative to 2013 for the US and all regions from 2005 and from 2006. Prices for the US increased 7.6 percent in IVQ2013 relative to IVQ2012 and 13.6 percent from IVQ2011 to IVQ2013. From IVQ2000 to IVQ2013, prices rose for the US and the four regions in Table IIA2-1.

Table IIA2-1, US, FHFA House Price Index Purchases Only NSA ∆%

	United States	New England	Middle Atlantic	South Atlantic	East South Central
IVQ2000 to IVQ2003	24.0	40.6	35.8	25.9	11.0
IVQ2000 to IVQ2005	50.5	65.0	67.7	62.9	25.5
IVQ2000 to IVQ2006	55.1	62.2	72.1	71.1	33.2
IVQ2005 to IVQ2013	-5.7	-10.5	-3.7	-11.7	5.0
IVQ2006 to IVQ2013	-8.5	-8.9	-6.2	-16.0	-1.1
IVQ2007 to IVQ2013	-6.2	-7.0	-6.4	-12.9	-3.0
IVQ2011 to IVQ2013	13.6	4.8	4.9	13.9	8.0
IVQ2012 to IVQ2013	7.6	4.1	3.5	8.0	4.2
IVQ2000 to IIIQ2013	42.0	47.7	61.5	43.8	31.7

Source: Federal Housing Finance Agency

http://fhfa.gov/Default.aspx?Page=14

Data of the FHFA HPI for the remaining US regions are in Table IIA2-2. Behavior is not very different from that in Table IIA2-1 with the exception of East North Central. House prices in the Pacific region doubled between 2000 and 2006. Although prices of houses declined sharply from 2005 and 2006 to 2013 with exception of West South Central and West North Central, there was still appreciation relative to 2000.

Table IIA2-2, US, FHFA House Price Index Purchases Only NSA ∆%

	West South Central	West North Central	East North Central	Mountain	Pacific
IVQ2000 to IVQ2003	11.1	18.3	14.7	18.9	44.5
IVQ2000 to IVQ2005	23.9	31.1	23.9	58.0	107.8
IVQ2000 to IVQ2006	31.6	33.9	23.9	68.7	108.6
IVQ2005 to IVQ2013	20.1	1.2	-9.2	-7.4	-20.3
IVQ2006 to IVQ2013	13.0	-0.9	-9.2	-13.3	-20.6
IVQ2007 to IVQ2013	9.3	-0.3	-6.1	-10.3	-12.1
IVQ2011 to IVQ2013	11.6	9.6	9.4	26.5	28.8
IVQ2012 to IVQ2013	5.7	4.8	6.3	11.6	16.1
IVQ2000 to IVQ2013	48.7	32.6	12.5	46.4	65.6

Source: Federal Housing Finance Agency

http://fhfa.gov/Default.aspx?Page=14

Chart IIA2-1 of the Federal Housing Finance Agency shows the Housing Price Index four-quarter price change from IIIQ2003 to IIIQ2013. House prices appreciated sharply from 1998 to 2005 and then fell rapidly. Recovery began already after IIQ2008 but there was another decline after IIIQ2010. The rate of decline improved in the second half of 2011 and into 2012 with movement into positive territory in successive quarter from IIQ2012 to IVQ2013.

Chart IIA2-1, US, Federal Housing Finance Agency House Price Index Four Quarter Price Change

Source: Federal Housing Finance Agency

http://fhfa.gov/Default.aspx?Page=14

Monthly and 12-month percentage changes of the FHFA House Price Index are in Table IIA2-3. Percentage monthly increases of the FHFA index were positive from Apr to Jul 2011 with exception of declines in May and Aug 2011 while 12 months percentage changes improved steadily from around minus 6 percent in Mar to May 2011 to minus 4.4 percent in Jun 2011. The FHFA house price index fell 0.6 percent in Oct 2011 and fell 3.0 percent in the 12 months ending in Oct. There was significant recovery in Nov 2012 with increase in the house price index of 0.5 percent and reduction of the 12-month rate of decline to 2.1 percent. The house price index rose 0.4 percent in Dec 2011 and the 12-month percentage change improved to minus 1.2 percent. There was further improvement with revised decline of 0.2 percent in Jan 2012 and decline of the 12-month percentage change to minus 1.0 percent. The index improved to positive change of 0.4 percent in Feb 2012 and increase of 0.4 percent in the 12 months ending in Feb 2012. There was strong improvement in Mar 2012 with gain in prices of 0.9 percent and 2.3 percent in 12 months. The house price index of FHFA increased 0.7 percent in Apr 2012 and 3.0 percent in 12 months and improvement continued with increase of 0.6 percent in May 2012 and 3.8 percent in the 12 months ending in May 2012. Improvement consolidated with increase of 0.4 percent in Jun 2012 and 3.8 percent in 12 months. In Jul 2012, the house price index increased 0.2 percent and 3.7 percent in 12 months. Strong increase of 0.5 percent in Aug 2012 pulled the 12-month change to 4.5 percent. There was another increase of 0.7 percent in Oct and 5.6 percent in 12 months followed by increase of 0.6 percent in Nov 2012 and 5.6 percent in 12 months. The FHFA house price index increased 0.6 percent in Jan 2013 and 6.6 percent in 12 months. Improvement continued with increase of 0.4 percent in Apr 2013 and 7.3 percent in 12 months. In May 2013, the house price indexed increased 0.9 percent and 7.7 percent in 12 months. The FHFA house price index increased 0.7 percent in Jun 2013 and 8.0 percent in 12 months. In Jul 2013, the FHFA house price index increased 0.7 percent and 8.7 percent in 12 months. Improvement continued with increase of 0.4 percent in Aug 2013 and 8.5 percent in 12 months. In Sep 2013, the house price index increased 0.2 percent and 8.4 percent in 12 months. The house price index increased 0.4 percent in Oct 2013 and 8.1 percent in 12 months. In Nov 2013, the house price index decreased 0.1 percent and increased 7.3 percent in 12 months. The house price index rose 0.7 percent in Dec 2013 and 7.5 percent in 12 months. Improved continued with increase of 0.5 percent in Jan 2014 and 7.4 percent in 12 months.

Table IIA2-3, US, FHFA House Price Index Purchases Only SA. Month and NSA 12-Month ∆%

	Month ∆% SA	12 Month ∆% NSA
Jan 2014	0.5	7.4
Dec 2013	0.7	7.5
Nov	-0.1	7.3
Oct	0.4	8.1
Sep	0.2	8.4
Aug	0.4	8.5
Jul	0.7	8.7
Jun	0.7	8.0
May	0.9	7.7
Apr	0.4	7.3
Mar	1.4	7.6
Feb	0.8	7.1
Jan	0.6	6.6
Dec 2012	0.5	5.8
Nov	0.6	5.6
Oct	0.7	5.6
Sep	0.4	4.3
Aug	0.5	4.5
Jul	0.2	3.7
Jun	0.4	3.8
May	0.6	3.8
Apr	0.7	3.0
Mar	0.9	2.3
Feb	0.4	0.4
Jan	-0.2	-1.0
Dec 2011	0.4	-1.2
Nov 2011	0.5	-2.1
Oct 2011	-0.6	-3.0
Sep 2011	0.5	-2.4
Aug 2011	-0.3	-3.8
Jul 2011	0.3	-3.4
Jun 2011	0.4	-4.4
May 2011	-0.1	-5.9
Apr 2011	0.1	-5.8
Mar 2011	-0.9	-5.9
Feb 2011	-1.1	-5.0
Jan 2011	-0.5	-4.6
Dec 2010		-3.8
Dec 2009		-2.0
Dec 2008		-10.0
Dec 2007		-3.2
Dec 2006		2.5
Dec 2005		9.8
Dec 2004		10.3
Dec 2003		8.0
Dec 2002		7.8
Dec 2001		6.7
Dec 2000		7.2
Dec 1999		6.2
Dec 1998		5.9
Dec 1997		3.4
Dec 1996		2.8
Dec 1995		3.0
Dec 1994		2.6
Dec 1993		3.1
Dec 1992		2.4

Source: Federal Housing Finance Agency

http://fhfa.gov/Default.aspx?Page=14

The bottom part of Table IIA2-3 provides 12-month percentage changes of the FHFA house price index since 1992 when data become available for 1991. Table IIA2-4 provides percentage changes and average rates of percent change per year for various periods. Between 1992 and 2013, the FHFA house price index increased 98.2 percent at the yearly average rate of 3.3 percent. In the period 1992-2000, the FHFA house price index increased 39.4 percent at the average yearly rate of 4.2 percent. The average yearly rate of price increase accelerated to 7.5 percent in the period 2000-2003, 8.5 percent in 2000-2005 and 7.5 percent in 2000-2006. At the margin, the average rate jumped to 10.0 percent in 2003-2005 and 7.5 percent in 2003-2006. House prices measured by the FHFA house price index declined 7.8 percent between 2006 and 2013 and 5.5 percent between 2005 and 2013.

Table IIA2-4, US, FHFA House Price Index, Percentage Change and Average Rate of Percentage Change per Year, Selected Dates 1992-2013

Dec	∆%	Average ∆% per Year
1992-2013	98.2	3.3
1992-2000	39.4	4.2
2000-2003	24.2	7.5
2000-2005	50.4	8.5
2003-2005	21.1	10.0
2005-2013	-5.5	NA
2000-2006	54.2	7.5
2003-2006	24.1	7.5
2006-2013	-7.8	NA

Source: Source: Federal Housing Finance Agency

http://fhfa.gov/Default.aspx?Page=14

Table I-4 shows the euphoria of prices during the housing boom and the subsequent decline. House prices rose 93.4 percent in the 10-city composite of the Case-Shiller home price index and 76.4 percent in the 20-city composite between Jan 2000 and Jan 2005. Prices rose around 100 percent from Jan 2000 to Jan 2006, increasing 122.5 percent for the 10-city composite and 102.4 percent for the 20-city composite. House prices rose 35.3 percent between Jan 2003 and Jan 2005 for the 10-city composite and 30.1 percent for the 20-city composite propelled by low fed funds rates of 1.0 percent between Jun 2003 and Jun 2004. Fed funds rates increased by 0.25 basis points at every meeting of the Federal Open Market Committee (FOMC) from Jun 2004 until Jun 2006, reaching 5.25 percent. Simultaneously, the suspension of auctions of the 30-year Treasury bond caused decline of yields of mortgage-backed securities with intended decrease in mortgage rates. Similarly, between Jan 2003 and Jan 2006, the 10-city index gained 55.7 percent and the 20-city index increased 49.2 percent. House prices have fallen from Jan 2006 to Jan 2014 by 19.1 percent for the 10-city composite and 18.2 percent for the 20-city composite. Measuring house prices is quite difficult because of the lack of homogeneity that is typical of standardized commodities. In the 12 months ending in Jan 2014, house prices increased 13.5 percent in the 10-city composite and increased 13.2 percent in the 20-city composite. Table I-4 also shows that house prices increased 80.1 percent between Jan 2000 and Jan 2014 for the 10-city composite and increased 65.5 percent for the 20-city composite. House prices are close to the lowest level since peaks during the boom before the financial crisis and global recession. The 10-city composite fell 20.4 percent from the peak in Jun 2006 to Jan 2014 and the 20-city composite fell 19.9 percent from the peak in Jul 2006 to Jan 2014. The final part of Table I-4 provides average annual percentage rates of growth of the house price indexes of Standard & Poor’s Case-Shiller. The average annual growth rate between Dec 1987 and Dec 2013 for the 10-city composite was 3.7 percent. Data for the 20-city composite are available only beginning in Jan 2000. House prices accelerated in the 1990s with the average rate of the 10-city composite of 5.0 percent between Dec 1992 and Dec 2000 while the average rate for the period Dec 1987 to Dec 2000 was 3.8 percent. Although the global recession affecting the US between IVQ2007 (Dec) and IIQ2009 (Jun) caused decline of house prices of slightly above 30 percent, the average annual growth rate of the 10-city composite between Dec 2000 and Dec 2013 was 3.6 percent while the rate of the 20-city composite was 3.1 percent.

Table I-4, US, Percentage Changes of Standard & Poor’s Case-Shiller Home Price Indices, Not Seasonally Adjusted, ∆%

	10-City Composite	20-City Composite
∆% Jan 2000 to Jan 2003	42.9	35.6
∆% Jan 2000 to Jan 2005	93.4	76.4
∆% Jan 2003 to Jan 2005	35.3	30.1
∆% Jan 2000 to Jan 2006	122.5	102.4
∆% Jan 2003 to Jan 2006	55.7	49.2
∆% Jan 2005 to Jan 2014	-6.9	-6.2
∆% Jan 2006 to Jan 2014	-19.1	-18.2
∆% Jan 2009 to Jan 2014	14.0	13.1
∆% Jan 2010 to Jan 2014	14.1	13.9
∆% Jan 2011 to Jan 2014	16.7	17.6
∆% Jan 2012 to Jan 2014	21.7	22.4
∆% Jan 2013 to Jan 2014	13.5	13.2
∆% Jan 2000 to Jan 2014	80.1	65.5
∆% Peak Jun 2006 Jan 2014	-20.4
∆% Peak Jul 2006 Jan 2014		-19.9
Average ∆% Dec 1987-Dec 2013	3.7	NA
Average ∆% Dec 1987-Dec 2000	3.8	NA
Average ∆% Dec 1992-Dec 2000	5.0	NA
Average ∆% Dec 2000-Dec 2013	3.6	3.1

Source: http://us.spindices.com/index-family/real-estate/sp-case-shiller

Monthly house prices increased sharply from Feb to Jan 2014 for both the 10- and 20-city composites. In Jan 2013, the seasonally adjusted 10-city composite increased 0.8 percent and the 20-city increased 0.8 percent while the 10-city not seasonally adjusted changed 0.0 percent and the 20-city decreased 0.1 percent. House prices increased at high monthly percentage rates from Feb to Nov 2013. With the exception of Feb through Apr 2012, house prices seasonally adjusted declined in every month for both the 10-city and 20-city Case-Shiller composites from Dec 2010 to Jan 2012, as shown in Table I-5. The most important seasonal factor in house prices is school changes for wealthier homeowners with more expensive houses. Without seasonal adjustment, house prices fell from Dec 2010 throughout Mar 2011 and then increased in every month from Apr to Aug 2011 but fell in every month from Sep 2011 to Feb 2012. The not seasonally adjusted index registers decline in Mar 2012 of 0.1 percent for the 10-city composite and is flat for the 20-city composite. Not seasonally adjusted house prices increased 1.4 percent in Apr 2012 and at high monthly percentage rates until Sep 2012. House prices not seasonally adjusted stalled from Oct 2012 to Jan 2013 and surged from Feb to Sep 2013, decelerating in Oct 2013-Jan 2014. Declining house prices cause multiple adverse effects of which two are quite evident. (1) There is a disincentive to buy houses in continuing price declines. (2) More mortgages could be losing fair market value relative to mortgage debt. Another possibility is a wealth effect that consumers restrain purchases because of the decline of their net worth in houses.

Table I-5, US, Monthly Percentage Change of S&P Case-Shiller Home Price Indices, Seasonally Adjusted and Not Seasonally Adjusted, ∆%

	10-City Composite SA	10-City Composite NSA	20-City Composite SA	20-City Composite NSA
Jan 2014	0.8	0.0	0.8	-0.1
Dec 2013	0.8	-0.1	0.7	-0.1
Nov	0.9	0.0	0.9	-0.1
Oct	1.1	0.2	1.1	0.2
Sep	1.0	0.7	1.0	0.7
Aug	1.0	1.3	1.0	1.3
Jul	0.7	1.9	0.7	1.8
Jun	1.0	2.2	0.9	2.2
May	1.0	2.5	0.9	2.5
Apr	1.7	2.6	1.6	2.6
Mar	1.9	1.3	1.9	1.3
Feb	1.1	0.3	1.0	0.2
Jan	0.8	0.0	1.0	0.0
Dec 2012	1.0	0.2	1.0	0.2
Nov	0.7	-0.3	0.8	-0.2
Oct	0.7	-0.2	0.7	-0.1
Sep	0.5	0.3	0.6	0.3
Aug	0.5	0.8	0.6	0.9
Jul	0.3	1.5	0.4	1.6
Jun	0.9	2.1	1.0	2.3
May	0.7	2.2	0.8	2.4
Apr	0.5	1.4	0.5	1.4
Mar	0.5	-0.1	0.5	0.0
Feb	-0.1	-0.9	0.0	-0.8
Jan	-0.2	-1.1	-0.1	-1.0
Dec 2011	-0.4	-1.2	-0.3	-1.1
Nov	-0.5	-1.4	-0.5	-1.3
Oct	-0.5	-1.3	-0.5	-1.4
Sep	-0.4	-0.6	-0.4	-0.7
Aug	-0.3	0.1	-0.3	0.1
Jul	-0.2	0.9	-0.2	1.0
Jun	-0.1	1.0	-0.1	1.2
May	-0.4	1.0	-0.4	1.0
Apr	-0.2	0.6	-0.2	0.6
Mar	-0.3	-1.0	-0.4	-1.0
Feb	-0.4	-1.3	-0.4	-1.2
Jan	-0.3	-1.1	-0.2	-1.1
Dec 2010	-0.2	-0.9	-0.2	-1.0

Source: http://us.spindices.com/index-family/real-estate/sp-case-shiller

© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014.