Sunday, September 29, 2013

Mediocre and Decelerating United States Economic Growth, Stagnating Real Disposable Income, Destruction of Household Wealth for Inflation Adjusted Loss, United States Commercial Banks Assets and Liabilities, Housing Collapse, World Economic Slowdown and Global Recession Risk: Part II

 

Mediocre and Decelerating United States Economic Growth, Stagnating Real Disposable Income, Destruction of Household Wealth for Inflation Adjusted Loss, United States Commercial Banks Assets and Liabilities, Housing Collapse, World Economic Slowdown and Global Recession Risk

Carlos M. Pelaez

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

Executive Summary

I Mediocre and Decelerating United States Economic Growth

IA Mediocre and Decelerating 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 Destruction of Household Wealth for Inflation Adjusted Loss

IIB United States Housing Collapse

IIC United States Commercial Banks Assets and Liabilities

IIC1 Transmission of Monetary Policy

IIC2 Functions of Banks

IIC3 United States Commercial Banks Assets and Liabilities

IIC4 Theory and Reality of Economic History and Monetary Policy Based on Fear of Deflation

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

IA Mediocre and Decelerating United States Economic Growth. The US is experiencing the first expansion from a recession after World War II with disastrous socioeconomic conditions:

Valuations of risk financial assets approach historical highs. Long-term economic performance in the United States consisted of trend growth of GDP at 3 percent per year and of per capita GDP at 2 percent per year as measured for 1870 to 2010 by Robert E Lucas (2011May). The economy returned to trend growth after adverse events such as wars and recessions. The key characteristic of adversities such as recessions was much higher rates of growth in expansion periods that permitted the economy to recover output, income and employment losses that occurred during the contractions. Over the business cycle, the economy compensated the losses of contractions with higher growth in expansions to maintain trend growth of GDP of 3 percent and of GDP per capita of 2 percent. US economic growth has been at only 2.2 percent on average in the cyclical expansion in the 16 quarters from IIIQ2009 to IIQ2013. 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 http://bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_adv.pdf http://bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf) and the second estimate of GDP for IIQ2013 (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.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/2013/09/increasing-interest-rate-risk.html). The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.7 percent and at 7.8 percent from IQ1983 to IVQ1983 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). As a result, there are 28.3 million unemployed or underemployed in the United States for an effective unemployment rate of 17.4 percent (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html).

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 to 2.8 percent in 2012. The following calculations show that actual growth is around 1.4 to 1.8 percent per year. This rate 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 http://bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_adv.pdf http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_2nd.pdf http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0713.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf http://bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf) 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 2012 and at 3.2 percent from 1947 to 2012. 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. 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 IQ1986 was 5.7 percent. In contrast, average annual equivalent growth in the expansion from IIIQ2009 to IIQ2013 was only 2.7 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

   

1929-2012

3.3

 

1947-2012

3.2

 

Cyclical Contractions ∆%

   

IQ1980 to IIIQ1980, IIIQ1981 to IVQ1982

-4.7

 

IVQ2007 to IIQ2009

-4.3

 

Cyclical Expansions Average Annual Equivalent ∆%

   

IQ1983 to IQ1986

5.7

 

First Four Quarters IQ1983 to IVQ1983

7.8

 

IIIQ2009 to IIQ2013

2.2

 

First Four Quarters IIIQ2009 to IIQ2010

2.7

 
 

Real Disposable Income

Real Disposable Income per Capita

Long-Term

   

1929-2012

3.2

2.0

1947-1999

3.7

2.3

Whole Cycles

   

1980-1989

3.5

2.6

2006-2012

1.4

0.6

Source: Bureau of Economic Analysis http://www.bea.gov/iTable/index_nipa.cfm http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf

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 http://bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_adv.pdf http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_2nd.pdf http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0713.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf http://bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf) also provide critical information in assessing the current rhythm of US economic growth. The economy appears to be moving at a pace from 1.8 to 1.9 percent per year. Table Summary GDP provides the data.

1. Average Annual Growth in the Past Six Quarters. GDP growth in the four quarters of 2012 and the first two quarters of 2013 accumulated to 2.9 percent. This growth is equivalent to 1.9 percent per year, obtained by dividing GDP in IIQ2013 of $15,679.7 by GDP in IVQ2011 of $15,242.1 and compounding by 4/6: {[($15,679.7/$15,242.1)4/6 -1]100 = 1.9.

2. Average Annual Growth in the First Two Quarters of 2013. GDP growth in the first two quarters of 2013 accumulated to 0.9 percent that is equivalent to 1.8 percent in a year. This is obtained by dividing GDP in IIQ2013 of $15,679.7 by GDP in IVQ2012 of $15,539.6 and compounding by 4/2: {[($15,679.7/$15,539.6)4/2 -1]100 =1.8%}. The US economy grew 1.6 percent in IIQ2013 relative to the same quarter a year earlier in IIQ2012. Another important revelation of the revisions and enhancements is that GDP was flat in IVQ2012, which is just at the borderline of contraction.

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

 

Real GDP, Billions Chained 2005 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

Cumulative ∆% IQ2012 to IIQ2013

2.9

 

2.8

 

Annual Equivalent ∆%

1.9

 

1.9

 

Source: US Bureau of Economic Analysis http://www.bea.gov/iTable/index_nipa.cfm http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.pdf

The objective of this section is analyzing US economic growth in the current cyclical expansion. There is initial discussion of the conventional explanation of the current recovery as being weak because of the depth of the contraction and the financial crisis and brief discussion of the concept of “slow-growth recession.” Analysis that is more complete is in IB Collapse of United States Dynamism of Income Growth and Employment Creation, which is updated with release of more information on the United States economic cycle (IX Conclusion and extended analysis at http://cmpassocregulationblog.blogspot.com/2013/08/interest-rate-risks-duration-dumping.html). The bulk of the section consists of comparison of the current growth experience of the US with earlier expansions after past deep contractions and consideration of recent performance.

This blog has analyzed systematically the weakness of the United States recovery in the current business cycle from IIIQ2009 to the present in comparison with the recovery from the two recessions in the 1980s from IQ1983 to IVQ1985. US economic growth has been at only 2.2 percent on average in the cyclical expansion in the 16 quarters from IIIQ2009 to IIQ2013 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). 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). 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/2013/09/increasing-interest-rate-risk.html). The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.7 percent and at 7.8 percent from IQ1983 to IVQ1983 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). As a result, there are 28.3 million unemployed or underemployed in the United States for an effective unemployment rate of 17.4 percent (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html).

The conventional explanation is that the recession from IVQ2007 (Dec) to IIQ2009 (Jun) was so profound that it caused subsequent weak recovery and that historically growth after recessions with financial crises has been weaker. Michael D. Bordo (2012Sep27) and Bordo and Haubrich (2012DR) provide evidence contradicting the conventional explanation: recovery is much stronger on average after profound contractions and much stronger after recessions with financial crises than after recessions without financial crises. Insistence on the conventional explanation prevents finding policies that can accelerate growth, employment and prosperity.

A monumental effort of data gathering, calculation and analysis by Carmen M. Reinhart and Kenneth Rogoff is highly relevant to banking crises, financial crash, debt crises and economic growth (Reinhart 2010CB; Reinhart and Rogoff 2011AF, 2011Jul14, 2011EJ, 2011CEPR, 2010FCDC, 2010GTD, 2009TD, 2009AFC, 2008TDPV; see also Reinhart and Reinhart 2011Feb, 2010AF and Reinhart and Sbrancia 2011). See http://cmpassocregulationblog.blogspot.com/2011/07/debt-and-financial-risk-aversion-and.html The dataset of Reinhart and Rogoff (2010GTD, 1) is quite unique in breadth of countries and over time periods:

“Our results incorporate data on 44 countries spanning about 200 years. Taken together, the data incorporate over 3,700 annual observations covering a wide range of political systems, institutions, exchange rate and monetary arrangements and historic circumstances. We also employ more recent data on external debt, including debt owed by government and by private entities.”

Reinhart and Rogoff (2010GTD, 2011CEPR) classify the dataset of 2317 observations into 20 advanced economies and 24 emerging market economies. In each of the advanced and emerging categories, the data for countries is divided into buckets according to the ratio of gross central government debt to GDP: below 30, 30 to 60, 60 to 90 and higher than 90 (Reinhart and Rogoff 2010GTD, Table 1, 4). Median and average yearly percentage growth rates of GDP are calculated for each of the buckets for advanced economies. There does not appear to be any relation for debt/GDP ratios below 90. The highest growth rates are for debt/GDP ratios below 30: 3.7 percent for the average and 3.9 for the median. Growth is significantly lower for debt/GDP ratios above 90: 1.7 for the average and 1.9 percent for the median. GDP growth rates for the intermediate buckets are in a range around 3 percent: the highest 3.4 percent average is for the bucket 60 to 90 and 3.1 percent median for 30 to 60. There is even sharper contrast for the United States: 4.0 percent growth for debt/GDP ratio below 30; 3.4 percent growth for debt/GDP ratio of 30 to 60; 3.3 percent growth for debt/GDP ratio of 60 to 90; and minus 1.8 percent, contraction, of GDP for debt/GDP ratio above 90.

For the five countries with systemic financial crises—Iceland, Ireland, UK, Spain and the US—real average debt levels have increased by 75 percent between 2007 and 2009 (Reinhart and Rogoff 2010GTD, Figure 1). The cumulative increase in public debt in the three years after systemic banking crisis in a group of episodes after World War II is 86 percent (Reinhart and Rogoff 2011CEPR, Figure 2, 10).

An important concept is “this time is different syndrome,” which “is rooted in the firmly-held belief that financial crises are something that happens to other people in other countries at other times; crises do not happen here and now to us” (Reinhart and Rogoff 2010FCDC, 9). There is both an arrogance and ignorance in “this time is different” syndrome, as explained by Reinhart and Rogoff (2010FCDC, 34):

“The ignorance, of course, stems from the belief that financial crises happen to other people at other time in other places. Outside a small number of experts, few people fully appreciate the universality of financial crises. The arrogance is of those who believe they have figured out how to do things better and smarter so that the boom can long continue without a crisis.”

There is sober warning by Reinhart and Rogoff (2011CEPR, 42) on the basis of the momentous effort of their scholarly data gathering, calculation and analysis:

“Despite considerable deleveraging by the private financial sector, total debt remains near its historic high in 2008. Total public sector debt during the first quarter of 2010 is 117 percent of GDP. It has only been higher during a one-year sting at 119 percent in 1945. Perhaps soaring US debt levels will not prove to be a drag on growth in the decades to come. However, if history is any guide, that is a risky proposition and over-reliance on US exceptionalism may only be one more example of the “This Time is Different” syndrome.”

As both sides of the Atlantic economy maneuver around defaults, the experience on debt and growth deserves significant emphasis in research and policy. The world economy is slowing with high levels of unemployment in advanced economies. Countries do not grow themselves out of unsustainable debts but rather through de facto defaults by means of financial repression and in some cases through inflation. This time is not different.

Professor Michael D. Bordo (2012Sep27), at Rutgers University, is providing clear thought on the correct comparison of the current business cycles in the United States with those in United States history. There are two issues raised by Professor Bordo: (1) incomplete conclusions by lumping together countries with different institutions, economic policies and financial systems; and (2) the erroneous contention that growth is mediocre after financial crises and deep recessions, which is repeated daily in the media, but that Bordo and Haubrich (2012DR) persuasively demonstrate to be inconsistent with United States experience.

Depriving economic history of institutions is perilous as is illustrated by the economic history of Brazil. Douglass C. North (1994) emphasized the key role of institutions in explaining economic history. Rondo E. Cameron (1961, 1967, 1972) applied institutional analysis to banking history. Friedman and Schwartz (1963) analyzed the relation of money, income and prices in the business cycle and related the monetary policy of an important institution, the Federal Reserve System, to the Great Depression. Bordo, Choudhri and Schwartz (1995) analyze the counterfactual of what would have been economic performance if the Fed had used during the Great Depression the Friedman (1960) monetary policy rule of constant growth of money (for analysis of the Great Depression see Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 198-217). Alan Meltzer (2004, 2010a,b) analyzed the Federal Reserve System over its history. The reader would be intrigued by Figure 5 in Reinhart and Rogoff (2010FCDC, 15) in which Brazil is classified in external default for seven years between 1828 and 1834 but not again until 64 years later in 1989, above the 50 years of incidence for serial default. William R. Summerhill, Jr. (2007SC, 2007IR) has filled this void in scholarly research on nineteenth-century Brazil. There are important conclusions by Summerhill on the exceptional sample of institutional change or actually lack of change, public finance and financial repression in Brazil between 1822 and 1899, combining tools of economics, political science and history. During seven continuous decades, Brazil did not miss a single interest payment with government borrowing without repudiation of debt or default. What is surprising is that Brazil borrowed by means of long-term bonds and, even more surprising, interest rates fell over time. The external debt of Brazil in 1870 was ₤41,275,961 and the domestic debt in the internal market was ₤25,708,711, or 62.3 percent of the total (Summerhill 2007IR, 73).

The experience of Brazil differed from that of Latin America (Summerhill 2007IR). During the six decades when Brazil borrowed without difficulty, Latin American countries becoming independent after 1820 engaged in total defaults, suffering hardship in borrowing abroad. The countries that borrowed again fell again in default during the nineteenth century. Venezuela defaulted in four occasions. Mexico defaulted in 1827, rescheduling its debt eight different times and servicing the debt sporadically. About 44 percent of Latin America’s sovereign debt was in default in 1855 and approximately 86 percent of total government loans defaulted in London originated in Spanish American borrowing countries.

External economies of commitment to secure private rights in sovereign credit would encourage development of private financial institutions, as postulated in classic work by North and Weingast (1989), Summerhill 2007IR, 22). This is how banking institutions critical to the Industrial Revolution were developed in England (Cameron 1967). The obstacle in Brazil found by Summerhill (2007IR) is that sovereign debt credibility was combined with financial repression. There was a break in Brazil of the chain of effects from protecting public borrowing, as in North and Weingast (1989), to development of private financial institutions.

Nicia Villela Luz and Carlos Manuel Peláez (1972, 276) find that:

“The lack of interest on historical moments by economists may explain their emphasis on secular trends in their research on the past instead of changes in the historical process. This may be the origin of why they fill gaps in documentation with their extrapolations.”

Vilela Luz (1961) provides classic analysis of industrialization in Brazil. According to Pelaez 1976, 283) following Cameron (1971, 1967):

“The banking law of 1860 placed severe restrictions on two basic modern economic institutions—the corporation and the commercial bank. The growth of the volume of bank credit was one of the most significant factors of financial intermediation and economic growth in the major trading countries of the gold standard group. But Brazil placed strong restrictions on the development of banking and intermediation functions, preventing the channeling of coffee savings into domestic industry at an earlier date.”

Brazil actually abandoned the gold standard during multiple financial crises in the nineteenth century, as it should have to protect domestic economic activity. Pelaez (1975, 447) finds similar experience in the first half of nineteenth-century Brazil:

“Brazil’s experience is particularly interesting in that in the period 1808-1851 there were three types of monetary systems. Between 1808 and 1829, there was only one government-related Bank of Brazil, enjoying a perfect monopoly of banking services. No new banks were established in the 1830s after the liquidation of the Bank of Brazil in 1829. During the coffee boom in the late 1830s and 1840s, a system of banks of issue, patterned after similar institutions in the industrial countries, supplied the financial services required in the first stage of modernization of the export economy.”

Financial crises in the advanced economies were transmitted to nineteenth-century Brazil by the arrival of a ship (Pelaez and Suzigan 1981). The explanation of those crises and the economy of Brazil requires knowledge and roles of institutions, economic policies and the financial system chosen by Brazil, in agreement with Bordo (2012Sep27).

The departing theoretical framework of Bordo and Haubrich (2012DR) is the plucking model of Friedman (1964, 1988). Friedman (1988, 1) recalls, “I was led to the model in the course of investigating the direction of influence between money and income. Did the common cyclical fluctuation in money and income reflect primarily the influence of money on income or of income on money?” Friedman (1964, 1988) finds useful for this purpose to analyze the relation between expansions and contractions. Analyzing the business cycle in the United States between 1870 and 1961, Friedman (1964, 15) found that “a large contraction in output tends to be followed on the average by a large business expansion; a mild contraction, by a mild expansion.” The depth of the contraction opens up more room in the movement toward full employment (Friedman 1964, 17):

“Output is viewed as bumping along the ceiling of maximum feasible output except that every now and then it is plucked down by a cyclical contraction. Given institutional rigidities and prices, the contraction takes in considerable measure the form of a decline in output. Since there is no physical limit to the decline short of zero output, the size of the decline in output can vary widely. When subsequent recovery sets in, it tends to return output to the ceiling; it cannot go beyond, so there is an upper limit to output and the amplitude of the expansion tends to be correlated with the amplitude of the contraction.”

Kim and Nelson (1999) test the asymmetric plucking model of Friedman (1964, 1988) relative to a symmetric model using reference cycles of the NBER, finding evidence supporting the Friedman model. Bordo and Haubrich (2012DR) analyze 27 cycles beginning in 1872, using various measures of financial crises while considering different regulatory and monetary regimes. The revealing conclusion of Bordo and Haubrich (2012DR, 2) is that:

“Our analysis of the data shows that steep expansions tend to follow deep contractions, though this depends heavily on when the recovery is measured. In contrast to much conventional wisdom, the stylized fact that deep contractions breed strong recoveries is particularly true when there is a financial crisis. In fact, on average, it is cycles without a financial crisis that show the weakest relation between contraction depth and recovery strength. For many configurations, the evidence for a robust bounce-back is stronger for cycles with financial crises than those without.”

The average rate of growth of real GDP in expansions after recessions with financial crises was 8 percent but only 6.9 percent on average for recessions without financial crises (Bordo 2012Sep27). Real GDP declined 12 percent in the Panic of 1907 and increased 13 percent in the recovery, consistent with the plucking model of Friedman (Bordo 2012Sep27). The comparison of recovery from IQ1983 to IVQ1985 is appropriate even when considering financial crises. There was significant financial turmoil during the 1980s. Bordo and Haubrich (2012DR, 11) identify a financial crisis in the United States starting in 1981. 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. The US Bureau of Economic Analysis (BEA) estimates GDP in 2012 at $16,244.6 billion (http://www.bea.gov/iTable/index_nipa.cfm), such that the bailout would be equivalent to cost to taxpayers of about $430.5 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. Money center banks were under extraordinary pressure from the default of sovereign debt by various emerging nations that represented a large share of their net worth (see Pelaez 1986).

Bordo (2012Sep27) finds two probable explanations for the weak recovery during the current economic cycle: (1) collapse of United States housing; and (2) uncertainty originating in fiscal policy, regulation and structural changes. There are serious doubts if monetary policy is adequate to recover the economy under these conditions.

The concept of growth recession was popular during the stagflation from the late 1960s to the early 1980s. The economy of the US underperformed with several recession episodes in “stop and go” fashion of policy and economic activity while the rate of inflation rose to the highest in a peacetime period (see http://cmpassocregulationblog.blogspot.com/2011/06/risk-aversion-and-stagflation.html http://cmpassocregulationblog.blogspot.com/2011/05/slowing-growth-global-inflation-great.html http://cmpassocregulationblog.blogspot.com/2011/05/global-inflation-seigniorage-monetary.html http://cmpassocregulationblog.blogspot.com/2011/04/new-economics-of-rose-garden-turned.html Appendix I; see Taylor 1993, 1997, 1999, 1998LB, 2012Mar27, 2012Mar28, 2012FP, 2012JMCB). A growth recession could be defined as a period in which economic growth is insufficient to move the economy toward full employment of humans, equipment and other productive resources. The US is experiencing a dramatic slow growth recession with 28.315 million people in job stress, consisting of an effective number of unemployed of 17.577 million, 8.324 million employed part-time because they cannot find full employment and 2.414 million marginally attached to the labor force for 17.4 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html). The discussion of the growth recession issue in the 1970s by two recognized economists of the twentieth century, James Tobin and Paul A. Samuelson, is worth recalling.

In analysis of the design of monetary policy in 1974, Tobin (1974, 219) finds that the forecast of the President’s Council of Economic Advisers (CEA) was also the target such that monetary policy would have to be designed and implemented to attain that target. The concern was with maintaining full employment as provided in the Employment Law of 1946 (http://www.law.cornell.edu/uscode/15/1021.html http://uscode.house.gov/download/pls/15C21.txt http://www.eric.ed.gov/PDFS/ED164974.pdf) see http://cmpassocregulationblog.blogspot.com/2011/04/new-economics-of-rose-garden-turned.html), which also created the CEA. Tobin (1974, 219) describes the forecast/target of the CEA for 1974:

“The expected and approved path appears to be quarter-to-quarter rates of growth of real gross national product in 1974 of roughly -0.5, 0.1, and 1 percent, with unemployment rising to about 5.6 percent in the second quarter and remaining there the rest of the year. The rate of price inflation would fall shortly in the second quarter, but rise slightly toward the end of the year.”

Referring to monetary policy design, Tobin (1974, 221) states: “if interest rates remain stable or rise during the current (growth) recession and recovery, this will be a unique episode in business cycle annals.” Subpar economic growth is often called a “growth recession.” The critically important concept is that economic growth is not sufficient to move the economy toward full employment, creating the social and economic adverse outcome of idle capacity and unemployed and underemployed workers, much the same as currently.

Samuelson considers the unexpected incidence of inflation surprises during growth recessions (1974, 76):

“Indeed, if there were in Las Vegas or New York a continuous casino on the money GNP of 1974’s fourth quarter, it would be absurd to think that the best economic forecasters could improve upon the guess posted there. Whatever knowledge and analytical skill they possess would already have been fed into the bidding. It is a manifest contradiction to think that most economists can be expected to do better than their own best performance. I am saying that the best forecasters have been poor in predicting the general price level’s movements and level even a year ahead. By Valentine’s Day 1973 the best forecasters were beginning to talk of the growth recession that we now know did set in at the end of the first quarter. Aside from their end-of-1972 forecasts, the fashionable crowd has little to blame itself for when it comes to their 1973 real GNP projections. But, of course, they did not foresee the upward surge of food and decontrolled industrial prices. This has been a recurring pattern: surprise during the event at the virulence of inflation, wisdom after the event in demonstrating that it did, after all, fit with past patterns of experience.”

Economists are known for their forecasts being second only to those of astrologers. Accurate forecasts are typically realized for the wrong reasons. In contrast with meteorologists, economists do not even agree on what happened. There is not even agreement on what caused the global recession and why the economy has reached a perilous standstill.

Historical parallels are instructive but have all the limitations of empirical research in economics. The more instructive comparisons are not with the Great Depression of the 1930s but rather with the recessions in the 1950s, 1970s and 1980s. The growth rates and job creation in the expansion of the economy away from recession are subpar in the current expansion compared to others in the past. Four recessions are initially considered, following the reference dates of the National Bureau of Economic Research (NBER) (http://www.nber.org/cycles/cyclesmain.html ): IIQ1953-IIQ1954, IIIQ1957-IIQ1958, IIIQ1973-IQ1975 and IQ1980-IIIQ1980. The data for the earlier contractions illustrate that the growth rate and job creation in the current expansion are inferior. The sharp contractions of the 1950s and 1970s are considered in Table I-1, showing the Bureau of Economic Analysis (BEA) quarter-to-quarter, seasonally adjusted (SA), yearly-equivalent growth rates of GDP. The recovery from the recession of 1953 consisted of four consecutive quarters of high percentage growth rates from IIIQ1954 to IIIQ1955: 4.6, 8.0, 11.9 and 6.7. The recession of 1957 was followed by four consecutive high percentage growth rates from IIIQ1958 to IIQ1959: 9.6, 9.7, 7.7 and 10.1. The recession of 1973-1975 was followed by high percentage growth rates from IIQ1975 to IQ1976: 3.1, 6.8, 5.5 and 9.3. The disaster of the Great Inflation and Unemployment of the 1970s, which made stagflation notorious, is even better in growth rates during the expansion phase in comparison with the current slow-growth recession.

Table I-1, US, Seasonally Adjusted Quarterly Percentage Growth Rates in Annual Equivalent of GDP in Cyclical Recessions and Following Four Quarter Expansions ∆%

 

IQ

IIQ

IIIQ

IV

R IIQ1953-IIQ1954

       

1953

   

-2.2

-5.9

1954

-1.9

     

E IIIQ1954-IIQ1955

       

1954

   

4.6

8.0

1955

11.9

6.7

   

R IIIQ1957-IIQ1958

       

1957

     

-4.1

1958

-10.0

     

E IIIQ1958-IIQ1959

       

1958

   

9.6

9.7

1959

7.7

10.1

   

R IVQ1969-IV1970

       

1969

     

-1.7

1970

-0.7

     

E IIQ1970-IQ1971

       

1970

 

0.7

3.6

-4.1

1971

11.2

     

R IVQ1973-IQ1975

       

1973

     

3.8

1974

-3.3

1.0

-3.8

-1.6

1975

-4.7

     

E IIQ1975-IQ1976

       

1975

 

3.1

6.8

5.5

1976

9.3

     

R IQ1980-IIIQ1980

       

1980

1.3

-7.9

-0.6

 

R IQ1981-IVQ1982

       

1981

8.5

-2.9

4.7

-4.6

1982

-6.5

2.2

-1.4

0.4

E IQ1983-IVQ1983

       

1983

5.3

9.4

8.1

8.5

R IVQ2007-IIQ2009

       

2008

-2.7

2.0

-2.0

-8.3

2009

-5.4

-0.4

   

E IIIQ2009-IIQ2010

       

2009

   

1.3

3.9

2010

1.6

3.9

   

Source: Bureau of Economic Analysis http://bea.gov/iTable/index_nipa.cfm Reference Cycles National Bureau of Economic Research http://www.nber.org/cycles/cyclesmain.html

The NBER dates another recession in 1980 that lasted about half a year. If the two recessions from IQ1980s to IIIQ1980 and IIIQ1981 to IVQ1982 are combined, the impact of lost GDP of 4.7 percent is more comparable to the latest revised 4.3 percent drop of the recession from IVQ2007 to IIQ2009. The recession in 1981-1982 is quite similar on its own to the 2007-2009 recession. In contrast, during the Great Depression in the four years of 1930 to 1933, GDP in constant dollars fell 26.3 percent cumulatively and fell 45.3 percent in current dollars (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 150-2, Pelaez and Pelaez, Globalization and the State, Vol. II (2009b), 205-7 and revisions in http://bea.gov/iTable/index_nipa.cfm). Table I-2 provides the Bureau of Economic Analysis (BEA) quarterly growth rates of GDP in SA yearly equivalents for the recessions of 1981 to 1982 and 2007 to 2009, using the latest major revision published on July 31, 2013 (http://bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_adv.pdf) and the third estimate for IIQ2013 (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.pdf), which are available in the dataset of the US Bureau of Economic Analysis (http://www.bea.gov/iTable/index_nipa.cfm). There were four quarters of contraction in 1981-1982 ranging in rate from -1.4 percent to -6.5 percent and five quarters of contraction in 2007-2009 ranging in rate from -0.4 percent to -8.3 percent. The striking difference is that in the first sixteen quarters of expansion from IQ1983 to IVQ1986, shown in Table I-2 in relief, GDP grew at the high quarterly percentage growth rates of 5.3, 9.4, 8.1, 8.5, 8.2, 7.2, 4.0, 3.2, 4.0, 3.7, 6.4, 3.0, 3.8, 1.9, 4.1 and 2.1. In contrast, the percentage growth rates in the first sixteen quarters of expansion from IIIQ2009 to IIQ2013 shown in relief in Table I-2 were mediocre: 1.3, 3.9, 1.6, 3.9, 2.8, 2.8, -1.3, 3.2, 1.4, 4.9, 3.7, 1.2, 2.8, 0.1, 1.1 and 2.5. Inventory accumulation contributed 2.73 percentage points to the rate of growth of 4.9 percent in IVQ2011, which is the only relatively high rate from IQ2011 to IIIQ2012, and 0.60 percentage points to the rate of 2.8 percent in IIIQ2012. Economic growth and employment creation decelerated rapidly during 2012 and in 2013 as would be required in movement to full employment.

Table I-2, US, Quarterly Growth Rates of GDP, % Annual Equivalent SA

Q

1981

1982

1983

1984

2008

2009

2010

I

8.5

-6.5

5.3

8.2

-2.7

-5.4

1.6

II

-2.9

2.2

9.4

7.2

2.0

-0.4

3.9

III

4.7

-1.4

8.1

4.0

-2.0

1.3

2.8

IV

-4.6

0.4

8.5

3.2

-8.3

3.9

2.8

       

1985

   

2011

I

     

4.0

   

-1.3

II

     

3.7

   

3.2

III

     

6.4

   

1.4

IV

     

3.0

   

4.9

       

1986

   

2012

I

     

3.8

   

3.7

II

     

1.9

   

1.2

III

     

4.1

   

2.8

IV

     

2.1

   

0.1

       

1987

   

2013

I

     

2.8

   

1.1

II

     

4.6

   

2.5

III

     

3.7

     

IV

     

6.8

     

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

Chart I-1 of the Bureau of Economic Analysis (BEA) provides strong growth of real GDP in the US between 1929 and 1999 at the yearly average rate of 3.5 percent. There is an evident acceleration of the rate of GDP growth in the 1990s as shown by a much sharper slope of the growth curve. Cobet and Wilson (2002) define labor productivity as the value of manufacturing output produced per unit of labor input used (see Pelaez and Pelaez, The Global Recession Risk (2007), 137-44). Between 1950 and 2000, labor productivity in the US grew less rapidly than in Germany and Japan. The major part of the increase in productivity in Germany and Japan occurred between 1950 and 1973 while the rate of productivity growth in the US was relatively subdued in several periods. While Germany and Japan reached their highest growth rates of productivity before 1973, the US accelerated its rate of productivity growth in the second half of the 1990s. Between 1950 and 2000, the rate of productivity growth in the US of 2.9 percent per year was much lower than 6.3 percent in Japan and 4.7 percent in Germany. Between 1995 and 2000, the rate of productivity growth of the US of 4.6 percent exceeded that of Japan of 3.9 percent and the rate of Germany of 2.6 percent.

clip_image001

Chart I-1, US, Real GDP 1929-1999

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart I-2 provides the growth of real quarterly GDP in the US between 1947 and 2012. The drop of output in the recession from IVQ2007 to IIQ2009 has been followed by anemic recovery compared with return to trend at 3.0 percent from 1870 to 2010 after events such as wars and recessions (Lucas 2011May) and a standstill that can lead to growth recession, or low rates of economic growth, but perhaps even another contraction or conventional recession. The average rate of growth from 1947 to 2012 is 3.2 percent. The average growth rate from 2000 to 2012 is only 1.7 percent with 2.8 percent annual equivalent from the end of the recession in IVQ2001 to the end of the expansion in IVQ2007.

clip_image002

Chart I-2, US, Real GDP, Quarterly, 1947-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart I-3 provides real GDP percentage change on the quarter a year earlier for 1983-1984. The objective is simply to compare expansion in two recoveries from sharp contractions as shown in Table I-2. Growth rates in the early phase of the recovery in 1983 and 1984 were very high, which is the opportunity to reduce unemployment that has characterized cyclical expansion in the postwar US economy.

clip_image003

Chart I-3, Real GDP Percentage Change on Quarter a Year Earlier 1983-1986

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

In contrast, growth rates in the comparable first sixteen quarters of expansion from 2009 to 2013 in Chart I-4 have been mediocre. As a result, growth has not provided the exit from unemployment and underemployment as in other cyclical expansions in the postwar period. Growth rates did not rise in V shape as in earlier expansions and then declined close to the standstill of growth recessions.

clip_image004

Chart I-4, US, Real GDP Percentage Change on Quarter a Year Earlier 2009-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Table I-3 provides percentage change of real GDP in the United States in the 1930s, 1980s and 2000s. The recession in 1981-1982 is quite similar on its own to the 2007-2009 recession. In contrast, during the Great Depression in the four years of 1930 to 1933, GDP in constant dollars fell 26.3 percent cumulatively and fell 45.3 percent in current dollars (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 150-2, Pelaez and Pelaez, Globalization and the State, Vol. II (2009b), 205-7 and revisions in http://bea.gov/iTable/index_nipa.cfm). Data are available for the 1930s only on a yearly basis. US GDP fell 4.7 percent in the two recessions (1) from IQ1980 to IIIQ1980 and (2) from III1981 to IVQ1981 to IVQ1982 and 4.3 percent cumulatively in the recession from IVQ2007 to IIQ2009. It is instructive to compare the first three years of the expansions in the 1980s and the current expansion. GDP grew at 4.6 percent in 1983, 7.3 percent in 1984 and 4.2 percent in 1985 while GDP grew, 2.5 percent in 2010, 1.8 percent in 2011 and 2.8 percent in 2012. Actual annual equivalent GDP growth in the four quarters of 2012 and first two quarters of 2013 is 1.9 percent and 1.8 percent in the first two quarters of 2013. GDP grew at 4.2 percent in 1985 and 3.5 percent in 1986 while the forecasts of the central tendency of participants of the Federal Open Market Committee (FOMC) are in the range of 1.8 to 2.4 percent in 2013 (http://www.federalreserve.gov/monetarypolicy/files/fomcprojtabl20130918.pdf).

Table I-3, US, Percentage Change of GDP in the 1930s, 1980s and 2000s, ∆%

Year

GDP ∆%

Year

GDP ∆%

Year

GDP ∆%

1930

-8.5

1980

-0.2

2000

4.1

1931

-6.4

1981

2.6

2001

1.0

1932

-12.9

1982

-1.9

2002

1.8

1933

-1.3

1983

4.6

2003

2.8

1934

10.8

1984

7.3

2004

3.8

1935

8.9

1985

4.2

2005

3.4

1936

12.9

1986

3.5

2006

2.7

1937

5.1

1987

3.5

2007

1.8

1938

-3.3

1988

4.2

2008

-0.3

1930

8.0

1989

3.7

2009

-2.8

1940

8.8

1990

1.9

2010

2.5

1941

17.7

1991

-0.1

2011

1.8

1942

18.9

1992

3.6

2012

2.8

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

Chart I-5 provides percentage change of GDP in the US during the 1930s. There is vast literature analyzing the Great Depression (Pelaez and Pelaez, Regulation of Banks and Finance (2009), 198-217). Cole and Ohanian (1999) find that US real per capita output was lower by 11 percent in 1939 than in 1929 while the typical expansion of real per capita output in the US during a decade is 31 percent. Private hours worked in the US were 25 percent lower in 1939 relative to 1929.

clip_image005

Chart I-5, US, Percentage Change of GDP in the 1930s

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

In contrast, Chart I-6 shows rapid recovery from the recessions in the 1980s. High growth rates in the initial quarters of expansion eliminated the unemployment and underemployment created during the contraction. The economy then returned to grow at the trend of expansion, interrupted by another contraction in 1991.

clip_image006

Chart I-6, US, Percentage Change of GDP in the 1980s

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart I-7 provides the rates of growth during the 2000s. Growth rates in the initial sixteen quarters of expansion have been relatively lower than during recessions after World War II. As a result, unemployment and underemployment continue at the rate of 17.4 percent of the US labor force (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html) with weak hiring (http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html).

clip_image007

Chart I-7, US, Percentage Change of GDP in the 2000s

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Characteristics of the four cyclical contractions are provided in Table I-4 with the first column showing the number of quarters of contraction; the second column the cumulative percentage contraction; and the final column the average quarterly rate of contraction. There were two contractions from IQ1980 to IIIQ1980 and from IIIQ1981 to IVQ1982 separated by three quarters of expansion. The drop of output combining the declines in these two contractions is 4.7 percent, which is almost equal to the decline of 4.3 percent in the contraction from IVQ2007 to IIQ2009. In contrast, during the Great Depression in the four years of 1930 to 1933, GDP in constant dollars fell 26.3 percent cumulatively and fell 45.3 percent in current dollars (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 150-2, Pelaez and Pelaez, Globalization and the State, Vol. II (2009b), 205-7 and revisions in http://bea.gov/iTable/index_nipa.cfm). The comparison of the global recession after 2007 with the Great Depression is entirely misleading.

Table I-4, US, Number of Quarters, GDP Cumulative Percentage Contraction and Average Percentage Annual Equivalent Rate in Cyclical Contractions   

 

Number of Quarters

Cumulative Percentage Contraction

Average Percentage Rate

IIQ1953 to IIQ1954

3

-2.4

-0.8

IIIQ1957 to IIQ1958

3

-3.0

-1.0

IVQ1973 to IQ1975

5

-3.1

-0.6

IQ1980 to IIIQ1980

2

-2.2

-1.1

IIIQ1981 to IVQ1982

4

-2.5

-0.64

IVQ2007 to IIQ2009

6

-4.3

-0.72

Sources: Source: Bureau of Economic Analysis http://bea.gov/iTable/index_nipa.cfm Reference Cycles National Bureau of Economic Research http://www.nber.org/cycles/cyclesmain.html

Cycles National Bureau of Economic Research http://www.nber.org/cycles/cyclesmain.html

Table I-5 shows the extraordinary contrast between the mediocre average annual equivalent growth rate of 2.2 percent of the US economy in the sixteen quarters of the current cyclical expansion from IIIQ2009 to IIQ2013 and the average of 5.7 percent in the first thirteen quarters of expansion from IQ1983 to IQ1986, 5.3 percent in the first fifteen quarters of expansion from IQ1983 to IIIQ1986 and 5.2 percent in the first sixteen quarters of expansion from IQ1983 to IVQ1986. The line “average first four quarters in four expansions” provides the average growth rate of 7.7 percent with 7.8 percent from IIIQ1954 to IIQ1955, 9.2 percent from IIIQ1958 to IIQ1959, 6.1 percent from IIIQ1975 to IIQ1976 and 7.8 percent from IQ1983 to IVQ1983. The United States missed this opportunity of high growth in the initial phase of recovery. 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). Table I-5 provides an average of 7.7 percent in the first four quarters of major cyclical expansions while the rate of growth in the first four quarters of the expansion from IIIQ2009 to IIQ2010 is 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. As a result, there are 28.3 million unemployed or underemployed in the United States for an effective unemployment rate of 17.4 percent (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html). BEA data show the US economy in standstill with annual growth of 2.4 percent in 2010 decelerating to 1.8 percent annual growth in 2011 and 2.8 percent in 2012 (http://www.bea.gov/iTable/index_nipa.cfm) The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.7 percent and at 7.8 percent from IQ1983 to IVQ1983. GDP growth in the first two quarters of 2013 accumulated to 0.9 percent that is equivalent to 1.8 percent in a year. This is obtained by dividing GDP in IIQ2013 of $15,679.7 by GDP in IVQ2012 of $15,539.6 and compounding by 4/2: {[($15,679.7/$15,539.6)4/2 -1]100 =1.8%}. The US economy grew 1.6 percent in IIQ2013 relative to the same quarter a year earlier in IIQ2012. Another important revelation of the revisions and enhancements is that GDP was flat in IVQ2012, just at the borderline of contraction.

Table I-5, US, Number of Quarters, Cumulative Growth and Average Annual Equivalent Growth Rate in Cyclical Expansions

 

Number
of
Quarters

Cumulative Growth

∆%

Average Annual Equivalent Growth Rate

IIIQ 1954 to IQ1957

11

12.8

4.5

First Four Quarters IIIQ1954 to IIQ1955

4

7.8

 

IIQ1958 to IIQ1959

5

10.0

7.9

First Four Quarters

IIIQ1958 to IIQ1959

4

9.2

 

IIQ1975 to IVQ1976

8

8.3

4.1

First Four Quarters IIIQ1975 to IIQ1976

4

6.1

 

IQ1983 to IQ1986

IQ1983 to IIIQ1986

IQ1983 to IVQ1986

13

15

16

19.9

21.6

22.3

5.7

5.4

5.2

First Four Quarters IQ1983 to IVQ1983

4

7.8

 

Average First Four Quarters in Four Expansions*

 

7.7

 

IIIQ2009 to IIQ2013

16

9.2

2.2

First Four Quarters IIIQ2009 to IIQ2010

 

2.7

 

*First Four Quarters: 7.8% IIIQ1954-IIQ1955; 9.2% IIIQ1958-IIQ1959; 6.1% IIIQ1975-IIQ1976; 7.8% IQ1983-IVQ1983

Source: Bureau of Economic Analysis http://bea.gov/iTable/index_nipa.cfm Reference Cycles National Bureau of Economic Research http://www.nber.org/cycles/cyclesmain.html

Chart I-8 shows US real quarterly GDP growth from 1980 to 1989. The economy contracted during the recession and then expanded vigorously throughout the 1980s, rapidly eliminating the unemployment caused by the contraction.

clip_image008

Chart I-8, US, Real GDP, 1980-1989

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart I-9 shows the entirely different situation of real quarterly GDP in the US between 2007 and 2012. The economy has underperformed during the first sixteen quarters of expansion for the first time in the comparable contractions since the 1950s. The US economy is now in a perilous standstill.

clip_image009

Chart I-9, US, Real GDP, 2007-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

As shown in Tables I-4 and I-5 above the loss of real GDP in the US during the contraction was 4.3 percent but the gain in the cyclical expansion has been only 9.2 percent (first to the last row in Table I-5), using all latest revisions. As a result, the level of real GDP in IIQ2013 with the second estimate and revisions is only higher by 4.6 percent than the level of real GDP in IVQ2007. Growth at trend of 3.0 percent in the entire cycle as in past cyclical expansions would result in GDP higher by 18.5 percent in IIQ2013 relative to IVQ2007. Trend GDP would be $17,770.4 billion, which is higher than actual GDP in IIQ2013 of $15,679.7 billion, for underperformance of $2,090.7 billion. Table I-6 provides in the second column real GDP in billions of chained 2005 dollars. The third column provides the percentage change of the quarter relative to IVQ2007; the fourth column provides the percentage change relative to the prior quarter; and the final fifth column provides the percentage change relative to the same quarter a year earlier. The contraction actually concentrated in two quarters: decline of 2.2 percent in IVQ2008 relative to the prior quarter and decline of 1.4 percent in IQ2009 relative to IVQ2008. The combined fall of GDP in IVQ2008 and IQ2009 was 3.6 percent {[(1-0.022) x (1-0.014) -1]100 = -3.6%}, or {[(IQ2009 $14,372.1)/(IIIQ2008 $14,895.1) – 1]100 = -3.5%} except for rounding. Those two quarters coincided with the worst effects of the financial crisis. GDP fell 0.1 percent in IIQ2009 but grew 0.3 percent in IIIQ2009, which is the beginning of recovery in the cyclical dates of the NBER. Most of the recovery occurred in five successive quarters from IVQ2009 to IVQ2010 of growth of 1.0 percent in IVQ2009, 0.4 percent in IQ2010, 0.9 percent in IIQ2010 and equal growth at 0.7 percent in IIIQ2010 and 0.7 percent in IVQ2010 for cumulative growth in those five quarters of 3.8 percent, obtained by accumulating the quarterly rates {[(1.01 x 1.004 x 1.009 x 1.007 x 1.007) – 1]100 = 3.8%} or {[(IVQ2010 $14,942.4)/(IIIQ2009 $14,402.5) – 1]100 = 3.7%} with minor rounding difference. The economy then stalled during the first half of 2011 with decline of 0.3 percent in IQ2011 and growth of 0.8 percent in IIQ2011 for combined annual equivalent rate of 1.0 percent {(0.997 x 1.008)2}. The economy grew 0.3 percent in IIIQ2011 for annual equivalent growth of 1.1 percent in the first three quarters {[(0.997 x 1.008 x 1.003)4/3 -1]100 = 1.1%}. Growth picked up in IVQ2011 with 1.2 percent relative to IIIQ2011. Growth in a quarter relative to a year earlier in Table I-6 slows from over 2.7 percent during three consecutive quarters from IIQ2010 to IVQ2010 to 2.0 percent in IQ2011, 1.9 percent in IIQ2011, 1.5 percent in IIIQ2011 and 2.0 percent in IVQ2011. As shown below, growth of 1.2 percent in IVQ2011 was partly driven by inventory accumulation. In IQ2012, GDP grew 0.9 percent relative to IVQ2011 and 3.3 percent relative to IQ2011, decelerating to 0.3 percent in IIQ2012 and 2.8 percent relative to IIQ2011 and 0.7 percent in IIIQ2012 and 3.1 percent relative to IIIQ2011 largely because of inventory accumulation and national defense expenditures. Growth was 0.0 percent in IVQ2012 with 2.0 percent relative to a year earlier but mostly because of deduction of 2.00 percentage points of inventory divestment and 1.22 percentage points of reduction of one-time national defense expenditures. Growth was 0.3 percent in IQ2013 and 1.3 percent relative to IQ2012 in large part because of burning savings to consume caused by financial repression of zero interest rates. There is similar growth of 0.6 percent in IIQ2013 and 1.6 percent relative to a year earlier. Rates of a quarter relative to the prior quarter capture better deceleration of the economy than rates on a quarter relative to the same quarter a year earlier. The critical question for which there is not yet definitive solution is whether what lies ahead is continuing growth recession with the economy crawling and unemployment/underemployment at extremely high levels or another contraction or conventional recession. Forecasts of various sources continued to maintain high growth in 2011 without taking into consideration the continuous slowing of the economy in late 2010 and the first half of 2011. The sovereign debt crisis in the euro area is one of the common sources of doubts on the rate and direction of economic growth in the US but there is weak internal demand in the US with almost no investment and spikes of consumption driven by burning saving because of financial repression forever in the form of zero interest rates.

Table I-6, 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

IQ2008

14,895.4

-0.7

-0.7

1.1

IIQ2008

14,969.2

-0.2

0.5

0.9

IIIQ2008

14,895.1

-0.7

-0.5

-0.3

IVQ2008

14,574.6

-2.8

-2.2

-2.8

IQ2009

14,372.1

-4.2

-1.4

-3.5

IIQ2009

14,356.9

-4.3

-0.1

-4.1

IIIQ2009

14,402.5

-4.0

0.3

-3.3

IV2009

14,540.2

-3.0

1.0

-0.2

IQ2010

14,597.7

-2.7

0.4

1.6

IIQ2010

14,738.0

-1.7

0.9

2.7

IIIQ2010

14,839.3

-1.0

0.7

3.0

IVQ2010

14,942.4

-0.4

0.7

2.8

IQ2011

14,894.0

-0.7

-0.3

2.0

IIQ2011

15,011.3

0.1

0.8

1.9

IIIQ2011

15,062.1

0.4

0.3

1.5

IV2011

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

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

Chart I-10 provides the percentage change of real GDP from the same quarter a year earlier from 1980 to 1989. There were two contractions almost in succession in 1980 and from 1981 to 1983. The expansion was marked by initial high rates of growth as in other recession in the postwar US period during which employment lost in the contraction was recovered. Growth rates continued to be high after the initial phase of expansion.

clip_image010

Chart I-10, Percentage Change of Real Gross Domestic Product from Quarter a Year Earlier 1980-1989

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

The experience of recovery after 2009 is not as complete as during the 1980s. Chart I-11 shows the much lower rates of growth in the early phase of the current expansion and sharp decline from an early peak. The US missed the initial high growth rates in cyclical expansions that eliminate unemployment and underemployment.

clip_image011

Chart I-11, Percentage Change of Real Gross Domestic Product from Quarter a Year Earlier 2007-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart I-12 provides growth rates from a quarter relative to the prior quarter during the 1980s. There is the same strong initial growth followed by a long period of sustained growth.

clip_image012

Chart I-12, Percentage Change of Real Gross Domestic Product from Prior Quarter 1980-1989

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart I-13 provides growth rates in a quarter relative to the prior quarter from 2007 to 2013. Growth in the current expansion after IIIQ2009 has not been as strong as in other postwar cyclical expansions.

clip_image013

Chart I-13, Percentage Change of Real Gross Domestic Product from Prior Quarter 2007-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

The revised estimates and earlier estimates from IQ2008 to IQ2012 in seasonally adjusted annual equivalent rates are shown in Table I-7. The strongest revision is for IVQ2008 for which the contraction of GDP is revised from minus 6.8 percent to minus 8.9 percent and minus 8.3 percent. IQ2009 is also revised from contraction of minus 4.9 percent to minus 6.7 percent but then lowered to contraction of 5.3 percent and 5.4 percent. There is only minor revision in IIIQ2008 of the contraction of minus 4.0 percent to minus 3.7 percent and minus 2.0 percent. Growth of 5.0 percent in IV2009 is revised to 3.8 percent and then increased to 4.0 percent but lowered to 3.9 percent. Growth in IQ2010 is lowered from 3.9 percent to 2.3 percent and 1.6 percent. Growth in IIQ2010 is upwardly revised to 3.8 percent but then lowered to 2.2 percent. The final revision increased growth in IIQ2010 to 3.9 percent. Revisions lowered growth of 1.9 percent in IQ2011 to minus 1.3 percent. The revisions lowered growth of 1.8 percent in IQ2013 to 1.1 percent but increased growth of 2.0 percent in IQ2012 to 3.7 percent. The revisions do not alter the conclusion that the current expansion is much weaker than historical sharp contractions since the 1950s and is now changing into slow growth recession with higher risks of contraction and continuing underperformance.

Table I-7, US, Quarterly Growth Rates of GDP, % Annual Equivalent SA, Revised and Earlier Estimates

Quarters

Revised Estimate Jul 31, 2013

Revised Estimate

Jul 27, 2012

Revised Estimate

Jul 29, 2011

Earlier Estimate

2008

       

I

-2.7

 

-1.8

-0.7

II

2.0

 

1.3

0.6

III

-2.0

 

-3.7

-4.0

IV

-8.3

 

-8.9

-6.8

2009

       

I

-5.4

-5.3

-6.7

-4.9

II

-0.4

-0.3

-0.7

-0.7

III

1.3

1.4

1.7

1.6

IV

3.9

4.0

3.8

5.0

2010

       

I

1.6

2.3

3.9

3.7

II

3.9

2.2

3.8

1.7

III

2.8

2.6

2.5

2.6

IV

2.8

2.4

2.3

3.1

2011

       

I

-1.3

0.1

0.4

1.9

II

3.2

2.5

   

III

1.4

1.3

   

IV

4.9

4.1

   

2012

       

I

3.7

2.0

   

II

1.2

1.3

   

III

2.8

3.1

   

IV

0.1

0.4

   

2013

       

I

1.1

1.8

   

II

2.5

     

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

Aggregate demand, personal consumption expenditures (PCE) and gross private domestic investment (GDI) were much stronger during the expansion phase in IQ1983 to IVQ1986 than in IIIQ2009 to IIQ2013, as shown in Table I-8. GDI provided the impulse of growth in 1983 and 1984, which has not been the case from 2009 to 2013. The investment decision in the US economy has been frustrated in the current cyclical expansion. Growth of GDP in IIQ2013 at seasonally adjusted annual rate of 2.5 percent consisted of positive contribution of 1.24 percentage points of personal consumption expenditures (PCE) plus positive contribution of 1.38 percentage points of gross private domestic investment (GDI) of which 0.41 percentage points of inventory investment (∆PI), neutral net exports (trade or exports less imports) of minus 0.07 percentage points and negative 0.07 percentage points of government consumption expenditures and gross investment (GOV) partly because of one-time reduction of national defense expenditures of 0.03 percentage points. The economy of the United States has lost the dynamic growth impulse of earlier cyclical expansions with mediocre growth resulting from consumption forced by one-time effects of financial repression, national defense expenditures and inventory accumulation.

Table I-8, US, Contributions to the Rate of Growth of GDP in Percentage Points

 

GDP

PCE

GDI

∆ PI

Trade

GOV

2013

           

I

1.1

1.54

0.71

0.93

-0.28

-0.82

II

2.5

1.24

1.38

0.41

-0.07

-0.07

2012

           

I

3.7

1.98

1.57

0.36

0.44

-0.28

II

1.2

1.28

-0.23

-0.91

0.10

0.05

III

2.8

1.15

0.99

0.60

-0.03

0.67

IV

0.1

1.13

-0.36

-2.00

0.68

-1.31

2011

           

I

-1.3

1.42

-1.11

-1.06

0.01

-1.61

II

3.2

1.03

1.88

0.72

0.53

-0.25

III

1.4

1.42

0.36

-1.60

0.10

-0.52

IV

4.9

1.65

4.13

2.73

-0.60

-0.31

2010

           

I

1.6

1.42

1.77

1.66

-0.96

-0.63

II

3.9

2.21

2.86

1.09

-1.77

0.61

III

2.8

1.87

1.86

1.90

-0.88

-0.07

IV

2.8

2.86

-0.51

-1.64

1.32

-0.87

2009

           

I

-5.4

-0.83

-7.02

-2.26

2.25

0.15

II

-0.4

-1.13

-3.25

-1.12

2.40

1.56

III

1.3

1.73

-0.40

-0.38

-0.53

0.48

IV

3.9

0.05

4.05

4.40

-0.05

-0.17

1982

           

I

-6.5

1.61

-7.60

-5.34

-0.49

-0.05

II

2.2

0.89

-0.06

2.26

0.81

0.56

III

-1.4

1.88

-0.62

1.11

-3.22

0.53

IV

0.4

4.51

-5.37

-5.33

-0.10

1.35

1983

           

I

5.3

2.45

2.36

0.92

-0.29

0.82

II

9.4

5.06

5.96

3.43

-2.46

0.89

III

8.1

4.50

4.40

0.57

-2.25

1.42

IV

8.5

4.06

6.94

3.01

-1.13

-1.36

1984

           

I

8.2

2.26

7.23

4.94

-2.31

1.01

II

7.2

3.64

2.57

-0.29

-0.87

1.87

III

4.0

1.95

1.69

0.21

-0.35

0.70

IV

3.2

3.29

-1.08

-2.44

-0.56

1.58

1985

           

I

4.0

4.23

-2.14

-2.86

0.94

1.01

II

3.7

2.35

1.34

0.35

-1.90

1.93

III

6.4

4.82

-0.43

-0.15

-0.01

1.98

IV

3.0

0.62

2.80

1.40

-0.66

0.27

1986

           

I

3.8

2.10

0.04

-0.17

0.92

0.70

II

1.9

2.77

-1.30

-1.30

-1.33

1.70

III

4.1

4.55

-1.97

-1.62

-0.45

1.95

IV

2.1

1.62

0.24

-0.29

0.71

-0.48

Note: PCE: personal consumption expenditures; GDI: gross private domestic investment; ∆ PI: change in private inventories; Trade: net exports of goods and services; GOV: government consumption expenditures and gross investment; – is negative and no sign positive

GDP: percent change at annual rate; percentage points at annual rates

Source: US Bureau of Economic Analysis

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

The Bureau of Economic Analysis (BEA) (pages 1-2 http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.pdf) explains growth of GDP in IIQ2013 as follows:

“The increase in real GDP in the second quarter primarily reflected positive contributions from personal consumption expenditures (PCE), exports, nonresidential fixed investment, private inventory investment, and residential fixed investment that were partly offset by a negative contribution from federal government spending. Imports, which are a subtraction in the calculation of GDP, increased.

The acceleration in real GDP in the second quarter primarily reflected upturns in exports and in nonresidential fixed investment, a smaller decrease in federal government spending, and an upturn in state and local government spending that were partly offset by an acceleration in imports and decelerations in private inventory investment and in PCE.

There are positive contributions to growth in IIQ2013 shown in Table I-9:

  • Personal consumption expenditures (PCE) growing at 2.5 percent with consumption of durable goods growing at 6.2 percent
  • Residential fixed investment (RFI) growing at 14.2 percent
  • Nonresidential fixed investment growing at 4.7 percent
  • Private inventory investment contributing 0.41 percentage points
  • Growth of exports at 8.0 percent, which is higher than imports at 6.9 percent

There were negative contributions in IIQ2013:

  • Federal government expenditures declining at 1.6 percent partly because of decrease of national defense expenditures at 0.6 percent that deducted 0.03 percentage points from GDP growth
  • Growth of imports, which are deduction to growth, at 7.0 percent

The BEA explains acceleration in real GDP growth in IIQ2013 by:

  • Growth of nonresidential fixed investment at 4.7 percent in IIQ2013 compared with decline at 4.6 percent in IQ2013
  • Growth of exports at 8.0 percent in IIQ2013 compared with decline at 1.3 percent in IQ2013

An important aspect of growth in the US is the decline in growth of real disposable personal income, or what is left after taxes and inflation, which increased at the rate of 0.8 percent in IIQ2013 compared with a year earlier. The effects of financial repression, or zero interest, are vividly shown in the decline of the savings rate, or personal saving as percent of disposable income from 5.5 percent in IIQ2012 to 4.5 percent in IIQ2013. Anticipation of income in IVQ2012 to avoid higher taxes in 2013 caused increases in income and savings while higher payroll taxes in 2013 restricted income growth and savings in IQ2013. Zero interest rates induce risky investments with high leverage and can contract balance sheets of families, business and financial institutions when interest rates inevitably increase in the future. There is a tradeoff of weaker economy in the future when interest rates increase by meager growth in the present with forced consumption by zero interest rates.

Table I-9, US, Percentage Seasonally Adjusted Annual Equivalent Quarterly Rates of Increase, %

 

IIQ 2012

IIIQ    

2012

IVQ 

2012

IIQ 

2013

IIQ 2013

GDP

1.2

2.8

0.1

1.1

2.5

PCE

1.9

1.7

1.7

2.3

1.8

Durable Goods

2.9

8.3

10.5

5.8

6.2

NRFI

4.5

0.3

9.8

-4.6

4.7

RFI

5.7

14.1

19.8

12.5

14.2

Exports

3.8

0.4

1.1

-1.3

8.0

Imports

2.5

0.5

-3.1

0.6

6.9

GOV

0.3

3.5

-6.5

-4.2

-0.4

Federal GOV

-0.2

8.9

-13.9

-8.4

-1.6

National Defense

-1.0

12.5

-21.6

-11.2

-0.6

Cont to GDP Growth % Points

-0.05

0.60

-1.22

-0.57

-0.03

State/Local GOV

0.6

-0.2

-1.0

-1.3

0.4

∆ PI (PP)

-0.91

0.60

-2.00

0.93

0.41

Final Sales of Domestic Product

2.2

2.2

2.2

0.2

2.1

Gross Domestic Purchases

1.1

2.7

-0.5

1.4

2.5

Prices Gross
Domestic Purchases

1.0

1.4

1.6

1.2

0.3

Prices of GDP

1.8

2.3

1.1

1.3

0.6

Prices of GDP Excluding Food and Energy

1.5

1.3

1.4

1.6

0.9

Prices of PCE

1.1

1.7

1.6

1.1

-0.1

Prices of PCE Excluding Food and Energy

1.8

1.4

1.3

1.4

0.6

Prices of Market Based PCE

0.9

1.6

1.4

1.3

-0.3

Prices of Market Based PCE Excluding Food and Energy

1.7

1.3

0.9

1.6

0.5

Real Disposable Personal Income*

1.8

1.3

3.6

0.4

0.8

Personal Savings As % Disposable Income

5.5

4.9

6.6

4.1

4.5

Note: PCE: personal consumption expenditures; NRFI: nonresidential fixed investment; RFI: residential fixed investment; GOV: government consumption expenditures and gross investment; ∆ PI: change in

private inventories; GDP - ∆ PI: final sales of domestic product; PP: percentage points; Personal savings rate: savings as percent of disposable income

*Percent change from quarter one year ago

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

Percentage shares of GDP are shown in Table I-10. PCE is equivalent to 68.6 percent of GDP and is under pressure with stagnant real disposable income, high levels of unemployment and underemployment and higher savings rates than before the global recession, temporarily interrupted by financial repression in the form of zero interest rates. Gross private domestic investment is also growing slowly even with about two trillion dollars in cash holdings by companies. In a slowing world economy, it may prove more difficult to grow exports faster than imports to generate higher growth. Bouts of risk aversion revalue the dollar relative to most currencies in the world as investors increase their holdings of dollar-denominated assets.

Table I-10, US, Percentage Shares of GDP, %

 

IIQ2013

GDP

100.0

PCE

68.6

   Goods

23.1

            Durable

7.5

            Nondurable

15.6

   Services

45.5

Gross Private Domestic Investment

15.7

    Fixed Investment

15.3

        NRFI

12.2

            Structures

2.7

            Equipment & Software

5.6

            Intellectual Property

3.9

        RFI

3.1

     Change in Private
      Inventories

0.5

Net Exports of Goods and Services

-3.1

       Exports

13.4

                    Goods

9.3

                    Services

4.1

       Imports

16.5

                     Goods

13.7

                     Services

2.8

Government

18.7

        Federal

7.5

           National Defense

4.7

           Nondefense

2.9

        State and Local

11.2

PCE: personal consumption expenditures; NRFI: nonresidential fixed investment; RFI: residential fixed investment

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

Table I-11 shows percentage point (PP) contributions to the annual levels of GDP growth in the earlier recessions 1958-1959, 1975-1976, 1982-1983 and 2009, 2010, 2011 and 2012. The data incorporate the new revisions released by the BEA on Jul 31, 2013. The most striking contrast is in the rates of growth of annual GDP in the expansion phases of 6.9 percent in 1959, 5.4 percent in 1976, and 4.6 percent in 1983 followed by 7.3 percent in 1984 and 4.2 percent in 1985. In contrast, GDP grew 2.5 percent in 2010 after six consecutive quarters of growth, 1.8 percent in 2011 after ten consecutive quarters of expansion and 2.8 percent in 2012 after 14 quarters of expansion. Annual levels also show much stronger growth of PCEs in the expansions after the earlier contractions than in the expansion after the global recession of 2007. Gross domestic investment was much stronger in the earlier expansions than in 2010, 2011 and 2012.

Table I-11, US, Percentage Point Contributions to the Annual Growth Rate of GDP

 

GDP

PCE

GDI

∆ PI

Trade

GOV

1958

-0.7

0.52

-1.16

-0.17

-0.87

0.77

1959

6.9

3.49

2.82

0.83

0.00

0.59

1975

-0.2

1.36

-2.90

-1.23

0.86

0.49

1976

5.4

3.41

2.91

1.37

-1.05

0.12

1982

-1.9

0.86

-2.55

-1.30

-0.59

0.38

1983

4.6

3.54

1.60

0.28

-1.32

0.81

1984

7.3

3.32

4.73

1.90

-1.54

0.76

1985

4.2

3.25

-0.01

-1.03

-0.39

1.38

2009

-2.8

-1.06

-3.52

-0.76

1.14

0.64

2010

2.5

1.34

1.66

1.45

-0.51

0.02

2011

1.8

1.74

0.69

-0.16

0.10

-0.68

2012

2.8

1.52

1.36

0.20

0.10

-0.20

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

Table I-12 provides more detail of the contributions to growth of GDP from 2009 to 2012 using annual-level data. PCEs contributed 1.34 PPs to GDP growth in 2010 of which 0.77 percentage points (PP) in goods and 0.57 PP in services. Gross private domestic investment (GPDI) deducted 3.52 PPs of GDP growth in 2009 of which -2.77 PPs by fixed investment and -0.76 PPs of inventory change (∆PI) and added 1.66 PPs of GPDI in 2010 of which minus 0.21 PPs of fixed investment and 1.45 PPs of inventory accumulation (∆PI). Trade, or exports of goods and services net of imports, contributed 1.14 PPs in 2009 of which exports deducted 1.10 PPs and imports added 2.24 PPs. In 2010, trade deducted 0.51 PPs with exports contributing 1.28 PPs and imports deducting 1.79 PPs likely benefitting from dollar revaluation. In 2009, government added 0.64 PP of which 0.44 PPs by the federal government and 0.20 PPs by state and local government; in 2010, government added 0.02 PPs of which 0.37 PPs by the federal government with state and local government deducting 0.35 PPs. The final two columns of Table I-12 provide the estimates for 2011 and 2012. PCE contributed 1.74 PPs in 2011 after 1.34 PPs in 2010. The contribution of PCE fell to 1.52 points in 2012. The breakdown into goods and services is similar but with contributions in 2012 of 0.77 PPs of goods and 0.74 PPs of services. Gross private domestic investment contributed 1.66 PPs in 2010 with 1.45 PPs of change of private inventories but the contribution of gross private domestic investment was only 0.69 PPs in 2011. The contribution of GPDI in 2012 increased to 1.36 PPs with fixed investment increasing its contribution to 1.17 PPs and residential investment contributing 0.32 PPs for the first time since 2009. Net exports of goods and services contributed marginally in 2011 with 0.10 PPs and 0.10 PPs in 2012. The contribution of exports fell from 1.28 PPs in 2010 and 0.89 PPs in 2011 to only 0.48 PPs in 2012. Government deducted 0.68 PPs in 2011 and 0.20 PPs in 2012. The expansion since IIIQ2009 has been characterized by weak contributions of aggregate demand, which is the sum of personal consumption expenditures plus gross private domestic investment. The US did not recover strongly from the global recessions as typical in past cyclical expansions. Recoveries tend to be more sluggish as expansions mature. At the margin in IVQ2011, the acceleration of expansion was driven by inventory accumulation instead of aggregate demand of consumption and investment. Growth of PCE was partly the result of burning savings because of financial repression, which may not be sustainable in the future while creating multiple distortions of resource allocation and growth restraint.

Table I-12, US, Contributions to Growth of Gross Domestic Product in Percentage Points

 

2009

2010

2011

2012

GDP Growth ∆%

-2.8

2.5

1.8

2.8

Personal Consumption Expenditures (PCE)

-1.06

1.34

1.74

1.52

  Goods

-0.68

0.77

0.76

0.77

     Durable

-0.41

0.43

0.46

0.56

     Nondurable

-0.27

0.34

0.30

0.22

  Services

-0.38

0.57

0.98

0.74

Gross Private Domestic Investment (GPDI)

-3.52

1.66

0.69

1.36

Fixed Investment

-2.77

0.21

0.85

1.17

    Nonresidential

-2.04

0.28

0.84

0.85

      Structures

-0.70

-0.49

0.05

0.31

      Equipment, software

-1.29

0.70

0.62

0.41

      Intellectual Property

-0.05

0.07

0.17

0.13

    Residential

-0.73

-0.07

0.01

0.32

Change Private Inventories

-0.76

1.45

-0.16

0.20

Net Exports of Goods and Services

1.14

-0.51

0.10

0.10

   Exports

-1.10

1.28

0.89

0.48

      Goods

-1.02

1.08

0.63

0.36

      Services

-0.08

0.20

0.27

0.12

   Imports

2.24

-1.79

-0.79

-0.38

      Goods

2.15

-1.72

-0.70

-0.30

      Services

0.08

-0.07

-0.09

-0.07

Government Consumption Expenditures and Gross Investment

0.64

0.02

-0.68

-0.20

  Federal

0.44

0.37

-0.23

-0.12

    National Defense

0.27

0.18

-0.13

-0.17

    Nondefense

0.17

0.19

-0.10

0.05

  State and Local

0.20

-0.35

-0.46

-0.08

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

Manufacturing jobs increased 614,000 in Aug 2013 relative to Jul 2013, seasonally adjusted (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html). Manufacturing jobs not seasonally adjusted increased 15,000 from Aug 2012 to Aug 2013 or at the average monthly rate of 1,250. There are effects of the weaker economy and international trade together with the yearly adjustment of labor statistics. Industrial production increased 0.4 percent in Aug 2013 after changing 0.0 percent in Jul 2013 and increasing 0.1 percent in Jun 2013, as shown in Table II-1, with all data seasonally adjusted. The report of the Board of Governors of the Federal Reserve System states (http://www.federalreserve.gov/releases/g17/Current/default.htm):

“Industrial production advanced 0.4 percent in August after having been unchanged in July; the gains in August were broadly based. Following a decrease in July of 0.4 percent, which was steeper than previously reported, manufacturing production rose 0.7 percent in August. The output of mines moved up 0.3 percent, its fifth consecutive monthly increase, and the production of utilities fell 1.5 percent, its fifth consecutive monthly decrease. At 99.4 percent of its 2007 average, total industrial production in August was 2.7 percent above its year-earlier level. “

In the six months ending in Aug 2013, United States national industrial production accumulated increase of 0.6 percent at the annual equivalent rate of 1.2 percent, which is much lower than growth of 2.7 percent in the 12 months ending in Aug 2013. Excluding growth of 0.4 percent in Aug 2013, growth in the remaining five months from Mar 2012 to Jul 2013 accumulated to 0.2 percent or 0.5 percent annual equivalent. Industrial production stagnated in three of the past six months and fell in one. Business equipment accumulated growth of 0.4 percent in the six months from Mar to Aug 2013 at the annual equivalent rate of 0.8 percent, which is much lower than growth of 2.5 percent in the 12 months ending in Aug 2013. Growth of business equipment accumulated minus 0.5 percent from Mar to July 2013 at the annual equivalent rate of minus 1.2 percent. The Fed analyzes capacity utilization of total industry in its report (http://www.federalreserve.gov/releases/g17/Current/default.htm): “Capacity utilization for the industrial sector increased 0.2 percentage point in August to 77.8 percent, a rate 0.6 percentage point above its level of a year earlier and 2.4 percentage points below its long-run (1972-2012) average.” United States industry is apparently decelerating.

Manufacturing increased 0.7 percent in Aug 2013 after decreasing 0.4 percent in Jul 2013 and increasing 0.3 percent in Jul 2013 seasonally adjusted, increasing 2.5 percent not seasonally adjusted in 12 months ending in Aug 2013, as shown in Table II-2. Manufacturing grew cumulatively 0.2 percent in the six months ending in Jul 2013 or at the annual equivalent rate of 0.4 percent. Excluding the increase of 0.7 percent in Aug 2013, manufacturing accumulated growth of minus 0.5 percent from Mar 2013 to Jul 2013 or at the annual equivalent rate of minus 1.2 percent.

Table I-13 provides national income by industry without capital consumption adjustment (WCCA). “Private industries” or economic activities have share of 86.6 percent in IIQ2013. Most of US national income is in the form of services. In Aug 2013, there were 135.961 million nonfarm jobs NSA in the US, according to estimates of the establishment survey of the Bureau of Labor Statistics (BLS) (http://www.bls.gov/news.release/empsit.nr0.htm Table B-1). Total private jobs of 115.218 million NSA in Aug 2013 accounted for 84.7 percent of total nonfarm jobs of 135.961 million, of which 12.063 million, or 10.5 percent of total private jobs and 8.9 percent of total nonfarm jobs, were in manufacturing. Private service-producing jobs were 96.174 million NSA in Aug 2013, or 70.7 percent of total nonfarm jobs and 83.5 percent of total private-sector jobs. Manufacturing has share of 10.8 percent in US national income in IIQ2013, as shown in Table I-13. Most income in the US originates in services. Subsidies and similar measures designed to increase manufacturing jobs will not increase economic growth and employment and may actually reduce growth by diverting resources away from currently employment-creating activities because of the drain of taxation.

Table I-13, US, National Income without Capital Consumption Adjustment by Industry, Seasonally Adjusted Annual Rates, Billions of Dollars, % of Total

 

SAAR IQ2013

% Total

SAAR
IIQ2013

% Total

National Income WCCA

14,354.5

100.0

14,471.3

100.0

Domestic Industries

14,117.1

98.3

14,224.4

98.3

Private Industries

12,432.9

86.6

12,544.3

86.7

    Agriculture

226.4

1.6

220.3

1.5

    Mining

247.6

1.7

252.6

1.7

    Utilities

209.1

1.5

216.5

1.5

    Construction

618.2

4.3

626.4

4.3

    Manufacturing

1568.1

10.9

1561.1

10.8

       Durable Goods

878.8

6.1

890.3

6.2

       Nondurable Goods

689.2

4.8

670.1

4.6

    Wholesale Trade

870.0

6.1

875.3

6.0

     Retail Trade

971.4

6.8

994.5

6.9

     Transportation & WH

434.0

3.0

437.7

3.0

     Information

496.0

3.5

504.8

3.5

     Finance, Insurance, RE

2418.9

16.8

2437.1

16.8

     Professional, BS

1973.6

13.7

1998.1

13.8

     Education, Health Care

1423.7

9.9

1439.4

9.9

     Arts, Entertainment

569.7

4.0

575.0

4.0

     Other Services

406.1

2.8

408.3

2.8

Government

1684.3

11.7

1680.1

11.6

Rest of the World

237.4

1.7

246.8

1.7

Notes: SSAR: Seasonally-Adjusted Annual Rate; WCCA: Without Capital Consumption Adjustment by Industry; WH: Warehousing; RE, includes rental and leasing: Real Estate; Art, Entertainment includes recreation, accommodation and food services; BS: business services

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

IA1. Contracting Real Private Fixed Investment. The United States economy has grown at the average yearly rate of 3 percent per year and 2 percent per year in per capita terms from 1870 to 2010, as measured by Lucas (2011May). An important characteristic of the economic cycle in the US has been rapid growth in the initial phase of expansion after recessions.

Inferior performance of the US economy and labor markets is the critical current issue of analysis and policy design. Long-term economic performance in the United States consisted of trend growth of GDP at 3 percent per year and of per capita GDP at 2 percent per year as measured for 1870 to 2010 by Robert E Lucas (2011May). The economy returned to trend growth after adverse events such as wars and recessions. The key characteristic of adversities such as recessions was much higher rates of growth in expansion periods that permitted the economy to recover output, income and employment losses that occurred during the contractions. Over the business cycle, the economy compensated the losses of contractions with higher growth in expansions to maintain trend growth of GDP of 3 percent and of GDP per capita of 2 percent. US economic growth has been at only 2.2 percent on average in the cyclical expansion in the 16 quarters from IIIQ2009 to IIQ2013. 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 http://bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_adv.pdf http://bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf) and the second estimate of GDP for IIQ2013 (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.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/2013/09/increasing-interest-rate-risk.html). The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.7 percent and at 7.8 percent from IQ1983 to IVQ1983 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). As a result, there are 28.3 million unemployed or underemployed in the United States for an effective unemployment rate of 17.4 percent (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html).

Table IA1-1 provides quarterly seasonally adjusted annual rates (SAAR) of growth of private fixed investment for the recessions of the 1980s and the current economic cycle. In the cyclical expansion beginning in IQ1983 (http://www.nber.org/cycles.html), real private fixed investment in the United States grew at the average annual rate of 14.7 percent in the first eight quarters from IQ1983 to IVQ1984. Growth rates fell to an average of 2.2 percent in the following eight quarters from IQ1985 to IVQ1986. There were only two quarters of contraction of private fixed investment from IQ1983 to IVQ1986. There is quite different behavior of private fixed investment in the sixteen quarters of cyclical expansion from IIIQ2009 to IIQ2013. The average annual growth rate in the first eight quarters of expansion from IIIQ2009 to IIQ2011 was 3.3 percent, which is significantly lower than 14.7 percent in the first eight quarters of expansion from IQ1983 to IVQ1984. There is only strong growth of private fixed investment in the four quarters of expansion from IIQ2011 to IQ2012 at the average annual rate of 10.5 percent. Growth has fallen from the SAAR of 14.8 percent in IIIQ2011 to 2.7 percent in IIIQ2012, recovering to 11.6 percent in IVQ2012 and falling to minus 1.5 percent in IQ2013. The SAAR of fixed investment rose to 6.5 percent in IIQ2013. Sudeep Reddy and Scott Thurm, writing on “Investment falls off a cliff,” on Nov 18, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324595904578123593211825394.html?mod=WSJPRO_hpp_LEFTTopStories) analyze the decline of private investment in the US and inform that a review by the Wall Street Journal of filing and conference calls finds that 40 of the largest publicly traded corporations in the US have announced intentions to reduce capital expenditures in 2012. The SAAR of real private fixed investment jumped to 11.6 percent in IVQ2012 but declined to minus 1.5 percent in IQ2013, recovering to 6.5 percent in IIQ2013.

Table IA1-1, US, Quarterly Growth Rates of Real Private Fixed Investment, % Annual Equivalent SA

Q

1981

1982

1983

1984

2008

2009

2010

I

3.8

-12.2

9.4

13.1

-7.1

-27.4

0.8

II

3.2

-12.1

16.0

16.6

-5.5

-14.2

13.6

III

0.1

-9.3

24.4

8.2

-12.1

-0.5

-0.4

IV

-1.5

0.2

24.3

7.3

-23.9

-2.8

8.5

       

1985

   

2011

I

     

3.7

   

-0.5

II

     

5.2

   

8.6

III

     

-1.6

   

14.8

IV

     

7.8

   

10.0

       

1986

   

2012

I

     

1.1

   

8.6

II

     

0.1

   

4.7

III

     

-1.8

   

2.7

IV

     

3.1

   

11.6

       

1987

   

2013

I

     

-6.7

   

-1.5

II

     

6.3

   

6.5

III

     

7.1

     

IV

     

-0.2

     

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

Chart IA1-1 of the US Bureau of Economic Analysis (BEA) provides seasonally adjusted annual rates of growth of real private fixed investment from 1981 to 1986. Growth rates recovered sharply during the first eight quarters, which was essential in returning the economy to trend growth and eliminating unemployment and underemployment accumulated during the contractions.

clip_image014

Chart IA1-1, US, Real Private Fixed Investment, Seasonally-Adjusted Annual Rates Percent Change from Prior Quarter, 1981-1986

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Weak behavior of real private fixed investment from 2007 to 2012 is shown in Chart IA1-2. Growth rates of real private fixed investment were much lower during the initial phase of expansion in the current economic cycle and have entered sharp trend of decline.

clip_image015

Chart IA1-2, US, Real Private Fixed Investment, Seasonally-Adjusted Annual Rates Percent Change from Prior Quarter, 2007-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Table IA1-2 provides real private fixed investment at seasonally adjusted annual rates from IVQ2007 to IIQ2013 or for the complete economic cycle. The first column provides the quarter, the second column percentage change relative to IVQ2007, the third column the quarter percentage change in the quarter relative to the prior quarter and the final column percentage change in a quarter relative to the same quarter a year earlier. In IQ1980, gross private domestic investment in the US was $951.6 billion of 2009 dollars, growing to $1,143.0 billion in IVQ1986 or 20.1 percent. Real gross private domestic investment in the US decreased 3.1 percent from $2,605.2 billion of 2009 dollars in IVQ2007 to $2,524.9 billion in IIQ2013. As shown in Table IAI-2, real private fixed investment fell 4.9 percent from $2,586.3 billion of 2009 dollars in IVQ2007 to $2,458.4 billion in IIQ2013. Growth of real private investment in Table IA1-2 is mediocre for all but four quarters from IIQ2011 to IQ2012.

Table IA1-2, US, Real Private Fixed Investment and Percentage Change Relative to IVQ2007 and Prior Quarter, Billions of Chained 2005 Dollars and ∆%

 

Real PFI, Billions Chained 2005 Dollars

∆% Relative to IVQ2007

∆% Relative to Prior Quarter

∆%
over
Year Earlier

IVQ2007

2586.3

NA

-1.2

-1.4

IQ2008

2539.1

-1.8

-1.8

-3.0

IIQ2008

2503.4

-3.2

-1.4

-4.6

IIIQ2008

2424.1

-6.3

-3.2

-7.1

IV2008

2263.8

-12.5

-6.6

-12.5

IQ2009

2089.3

-19.2

-7.7

-17.7

IIQ2009

2011.0

-22.2

-3.7

-19.7

IIIQ2009

2008.4

-22.3

-0.1

-17.1

IVQ2009

1994.1

-22.9

-0.7

-11.9

IQ2010

1997.9

-22.8

0.2

-4.4

IIQ2010

2062.8

-20.2

3.2

2.6

IIIQ2010

2060.8

-20.3

-0.1

2.6

IVQ2010

2103.1

-18.7

2.1

5.5

IQ2011

2100.7

-18.8

-0.1

5.1

IIQ2011

2144.4

-17.1

2.1

4.0

IIIQ2011

2219.8

-14.2

3.5

7.7

IVQ2011

2273.4

-12.1

2.4

8.1

IQ2012

2320.8

-10.3

2.1

10.5

IIQ2012

2347.9

-9.2

1.2

9.5

IIIQ2012

2363.5

-8.6

0.7

6.5

IVQ2012

2429.1

-6.1

2.8

6.8

IQ2013

2420.0

-6.4

-0.4

4.3

IIQ2013

2458.4

-4.9

1.6

4.7

PFI: Private Fixed Investment

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

Chart IA1-3 provides real private fixed investment in billions of chained 2009 dollars from IV2007 to IIQ2013. Real private fixed investment has not recovered, stabilizing at a level in IIQ2013 that is 4.9 percent below the level in IVQ2007.

clip_image016

Chart IA1-3, US, Real Private Fixed Investment, Billions of Chained 2005 Dollars, IQ2007 to IIQ2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IA1-4 provides real gross private domestic investment in chained dollars of 2009 from 1980 to 1986. Real gross private domestic investment climbed 20.1 percent to $1143.0 billion of 2009 dollars in IVQ1986 above the level of $951.6 billion in IQ1980.

clip_image017

Chart IA1-4, US, Real Gross Private Domestic Investment, Billions of Chained 2005 Dollars at Seasonally Adjusted Annual Rate, 1980-1986

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IA1-5 provides real gross private domestic investment in the United States in billions of dollars of 2009 from 2006 to 2013. Gross private domestic investment reached a level of $2524.9 in IIQ2013 of that was 3.1 percent lower than the level of $2605.2 billion in IVQ2007 (http://www.bea.gov/iTable/index_nipa.cfm).

clip_image018

Chart IA1-5, US, Real Gross Private Domestic Investment, Billions of Chained 2005 Dollars at Seasonally Adjusted Annual Rate, 2007-2013

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

Table IA1-3 provides percentage shares in GDP of gross private domestic investment and its components in IIQ2013, IIQ2006 and IIQ2000. The share of gross private domestic investment in GDP has fallen from 20.1 percent in IIQ2000 and 19.5 percent in IIQ2006 to 15.7 percent in IIQ2013. There are declines in percentage shares in GDP of all components with sharp reduction of residential investment from 4.7 percent in IIQ2000 and 6.2 percent in IIQ2006 to 3.1 percent in IIQ2013. The share of fixed investment in GDP fell from 19.3 percent in IIQ2000 and 19.0 percent in IIQ2006 to 15.3 percent in IIQ2013.

Table IA1-3, Percentage Shares of Gross Private Domestic Investment and Components in Gross Domestic Product, % of GDP, IQ2013

 

IIQ2013

IIQ2006

IIQ2000

Gross Private Domestic Investment

15.7

19.5

20.1

  Fixed Investment

15.3

19.0

19.3

     Nonresidential

12.2

12.8

14.5

          Structures

2.7

3.0

3.0

          Equipment

          and Software

5.6

6.2

7.5

          Intellectual
           Property

3.9

3.6

4.0

     Residential

3.1

6.2

4.7

   Change in Private Inventories

0.5

0.6

0.9

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

Broader perspective is provided in Chart IA1-6 with the percentage share of gross private domestic investment in GDP in annual data from 1929 to 2012. There was sharp drop during the current economic cycle with almost no recovery in contrast with sharp recovery after the recessions of the 1980s.

clip_image019

Chart IA1-6, US, Percentage Share of Gross Private Domestic Investment in Gross Domestic Product, Annual, 1929-2012

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IA1-7 provides percentage shares of private fixed investment in GDP with annual data from 1929 to 2012. The sharp contraction after the recessions of the 1980s was followed by sustained recovery while the sharp drop in the current economic cycle has not been recovered.

clip_image020

Chart IA1-7, US, Percentage Share of Private Fixed Investment in Gross Domestic Product, Annual, 1929-2012

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IA1-8 provides percentage shares in GDP of nonresidential investment from 1929 to 2012. There is again recovery from sharp contraction in the 1980s but inadequate recovery in the current economic cycle.

clip_image021

Chart IA1-8, US, Percentage Share of Nonresidential Investment in Gross Domestic Product, Annual, 1929-2012

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IA1-9 provides percentage shares of business equipment and software in GDP with annual data from 1929 to 2012. There is again inadequate recovery in the current economic cycle.

clip_image022

Chart IA1-9, US, Percentage Share of Business Equipment and Software in Gross Domestic Product, Annual, 1929-2012

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IA1-10 provides percentage shares of residential investment in GDP with annual data from 1929 to 2012. The salient characteristic of Chart IA1-10 is the vertical increase of the share of residential investment in GDP up to 2006 and subsequent collapse.

clip_image023

Chart IA1-10, US, Percentage Share of Residential Investment in Gross Domestic Product, Annual, 1929-2012

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Finer detail is provided by the quarterly share of residential investment in GDP from 1979 to 2013 in Chart IA1-11. There was protracted growth of that share, accelerating sharply into 2006 followed with nearly vertical drop. The explanation of the sharp contraction of United States housing can probably be found in the origins of the financial crisis and global recession. Let V(T) represent the value of the firm’s equity at time T and B stand for the promised debt of the firm to bondholders and assume that corporate management, elected by equity owners, is acting on the interests of equity owners. Robert C. Merton (1974, 453) states:

“On the maturity date T, the firm must either pay the promised payment of B to the debtholders or else the current equity will be valueless. Clearly, if at time T, V(T) > B, the firm should pay the bondholders because the value of equity will be V(T) – B > 0 whereas if they do not, the value of equity would be zero. If V(T) ≤ B, then the firm will not make the payment and default the firm to the bondholders because otherwise the equity holders would have to pay in additional money and the (formal) value of equity prior to such payments would be (V(T)- B) < 0.”

Pelaez and Pelaez (The Global Recession Risk (2007), 208-9) apply this analysis to the US housing market in 2005-2006 concluding:

“The house market [in 2006] is probably operating with low historical levels of individual equity. There is an application of structural models [Duffie and Singleton 2003] to the individual decisions on whether or not to continue paying a mortgage. The costs of sale would include realtor and legal fees. There could be a point where the expected net sale value of the real estate may be just lower than the value of the mortgage. At that point, there would be an incentive to default. The default vulnerability of securitization is unknown.”

There are multiple important determinants of the interest rate: “aggregate wealth, the distribution of wealth among investors, expected rate of return on physical investment, taxes, government policy and inflation” (Ingersoll 1987, 405). Aggregate wealth is a major driver of interest rates (Ingersoll 1987, 406). Unconventional monetary policy, with zero fed funds rates and flattening of long-term yields by quantitative easing, causes uncontrollable effects on risk taking that can have profound undesirable effects on financial stability. Excessively aggressive and exotic monetary policy is the main culprit and not the inadequacy of financial management and risk controls.

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 restatement: “The basic idea is simply that individuals live for many years and that therefore the appropriate constraint for consumption decisions 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 (1)

Equation (1) shows that as r goes to zero, r →0, W grows without bound, W→∞.

Lowering the interest rate near the zero bound in 2003-2004 caused the illusion of permanent increases in wealth or net worth in the balance sheets of borrowers and also of lending institutions, securitized banking and every financial institution and investor in the world. The discipline of calculating risks and returns was seriously impaired. The objective of monetary policy was to encourage borrowing, consumption and investment but the exaggerated stimulus resulted in a financial crisis of major proportions as the securitization that had worked for a long period was shocked with policy-induced excessive risk, imprudent credit, high leverage and low liquidity by the incentive to finance everything overnight at close to zero interest rates, from adjustable rate mortgages (ARMS) to asset-backed commercial paper of structured investment vehicles (SIV).

The consequences of inflating liquidity and net worth of borrowers were a global hunt for yields to protect own investments and money under management from the zero interest rates and unattractive long-term yields of Treasuries and other securities. Monetary policy distorted the calculations of risks and returns by households, business and government by providing central bank cheap money. Short-term zero interest rates encourage financing of everything with short-dated funds, explaining the SIVs created off-balance sheet to issue short-term commercial paper to purchase default-prone mortgages that were financed in overnight or short-dated sale and repurchase agreements (Pelaez and Pelaez, Financial Regulation after the Global Recession, 50-1, Regulation of Banks and Finance, 59-60, Globalization and the State Vol. I, 89-92, Globalization and the State Vol. II, 198-9, Government Intervention in Globalization, 62-3, International Financial Architecture, 144-9). ARMS were created to lower monthly mortgage payments by benefitting from lower short-dated reference rates. Financial institutions economized in liquidity that was penalized with near zero interest rates. There was no perception of risk because the monetary authority guaranteed a minimum or floor price of all assets by maintaining low interest rates forever or equivalent to writing an illusory put option on wealth. Subprime mortgages were part of the put on wealth by an illusory put on house prices. The housing subsidy of $221 billion per year created the impression of ever increasing house prices. The suspension of auctions of 30-year Treasuries was designed to increase demand for mortgage-backed securities, lowering their yield, which was equivalent to lowering the costs of housing finance and refinancing. Fannie and Freddie purchased or guaranteed $1.6 trillion of nonprime mortgages and worked with leverage of 75:1 under Congress-provided charters and lax oversight. The combination of these policies resulted in high risks because of the put option on wealth by near zero interest rates, excessive leverage because of cheap rates, low liquidity because of the penalty in the form of low interest rates and unsound credit decisions because the put option on wealth by monetary policy created the illusion that nothing could ever go wrong, causing the credit/dollar crisis and global recession (Pelaez and Pelaez, Financial Regulation after the Global Recession, 157-66, Regulation of Banks, and Finance, 217-27, International Financial Architecture, 15-18, The Global Recession Risk, 221-5, Globalization and the State Vol. II, 197-213, Government Intervention in Globalization, 182-4).

clip_image024

Chart IA1-11, US, Percentage Share of Residential Investment in Gross Domestic Product, Quarterly, 1979-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IA1-12 provides the share of intellectual property products investment in GDP with annual data from 1929 to 2012. This is an important addition in the revision and enhancement of GDP provided by the Bureau of Economic Analysis. The share rose sharply over time but in the past decade and stabilized at a lower level.

clip_image025

Chart IA1-12, US, Percentage Share of Intellectual Property Products Investment in Gross Domestic Product, Annual, 1929-2012

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IA1-13 provides the percentage share of intellectual property investment in GDP on a quarterly basis from 1979 to 2013. The share stabilized in the 2000s.

clip_image026

Chart IA1-13, US, Percentage Share of Intellectual Property Investment in Gross Domestic Product, Quarterly, 1979-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Table IA1-4 provides the seasonally adjusted annual rate of real GDP percentage change and contributions in percentage points in annual equivalent rate of gross domestic investment (GDI), real private fixed investment (PFI), nonresidential investment (NRES), business equipment and software (BES), residential investment (RES), intellectual property products (IPP) and change in inventories (∆INV) for the cyclical expansions from IQ1983 to IVQ1985 and from IIIQ2009 to IIQ2013. GDI provided strong percentage points contributions to GDP growth in the critical first year of expansion in 1983 and also in several quarters in 1984 and 1985 while it has been muted in the cyclical expansion since IIIQ2009 with contributions largely only from IQ2010 to IVQ2011. Gross domestic investment added 1.38 percentage points to GDP growth of 2.5 percent in IIQ2013 partly because of change of inventories of 0.41 percentage points with PFI adding 0.96 percentage points. Nonresidential investment added 0.56 percentage points and residential investment added 0.40 percentage points to GDP growth of 2.5 percent in IIQ2013. GDI added 0.71 percentage points in IQ2013 mostly because of 0.93 percentage points of inventory investment while private fixed investment deducted 0.23 percentage points. Nonresidential investment deducted 0.57 percentage points. Business equipment and software added 0.09 percentage points and residential investment 0.34 percentage points. Intellectual property products (IPP) added 0.14 percentage points in IQ2013 and deducted 0.04 percentage points in IIQ2013. Much of the strong performance of GDI in the cyclical expansion after IQ1983 originated in contributions by real private fixed investment (PFI). Nonresidential investment also contributed strongly to growth in the expansion of the 1980s but has been muted in the current expansion. The contribution of business equipment and software collapsed to negative 0.22 percentage points in IIIQ2012 as business scales down investment but rebounded with 0.47 percentage points in IVQ2012, 0.09 percentage points in IQ2013 and 0.18 percentage points in IIQ2013. Residential investment (RES) was relatively strong in 1983 but was muted in following quarters. Residential investment only contributed significantly to growth of GDP in the four quarters of 2012, IQ2013 and IIQ2013.

Table IA1-4, US, Contributions to the Rate of Growth of Real GDP in Percentage Points

 

GDP

GDI

PFI

NRES

BES

IPP

RES

∆INV

2013

               

I

1.1

0.71

-0.23

-0.57

0.09

0.14

0.34

0.93

II

2.5

1.38

0.96

0.56

0.18

-0.06

0.40

0.41

2012

               

I

3.7

1.57

1.21

0.68

0.45

0.05

0.53

0.36

II

1.2

-0.23

0.68

0.53

0.29

0.07

0.15

-0.91

III

2.8

0.99

0.39

0.04

-0.22

0.11

0.35

0.60

IV

0.1

-0.36

1.63

1.13

0.47

0.21

0.50

-2.00

2011

               

I

-1.3

-1.11

-0.05

-0.09

0.59

0.14

0.04

-1.06

II

3.2

1.88

1.16

1.09

0.23

0.18

0.07

0.72

III

1.4

0.36

1.96

1.81

0.99

0.20

0.15

-1.60

IV

4.9

4.13

1.39

1.10

0.54

0.21

0.29

2.73

2010

               

I

1.6

1.77

0.11

0.46

1.25

-0.07

-0.35

1.66

II

3.9

2.86

1.77

1.21

1.02

-0.08

0.56

1.09

III

2.8

1.86

-0.04

0.90

0.83

0.22

-0.94

1.90

IV

2.8

-0.51

1.13

0.94

0.57

0.19

0.19

-1.64

2009

               

I

-5.4

-7.02

-4.75

-3.58

-2.25

-0.23

-1.17

-2.26

II

-0.4

-3.25

-2.13

-1.46

-0.60

0.16

-0.66

-1.12

III

1.3

-0.40

-0.02

-0.54

0.25

0.04

0.52

-0.38

IV

3.9

4.05

-0.36

-0.37

0.36

0.25

0.01

4.40

1982

               

I

-6.5

-7.60

-2.26

-1.45

-0.83

0.14

-0.81

-5.34

II

2.2

-0.06

-2.32

-1.89

-1.20

0.08

-0.44

2.26

III

-1.4

-0.62

-1.73

-1.71

-0.55

0.06

-0.02

1.11

IV

0.4

-5.37

-0.03

-1.05

-0.57

0.00

1.01

-5.33

1983

               

I

5.3

2.36

1.44

-0.92

-0.27

0.16

2.36

0.92

II

9.4

5.96

2.53

0.67

1.24

0.29

1.86

3.43

III

8.1

4.40

3.82

2.13

1.43

0.31

1.70

0.57

IV

8.5

6.94

3.93

3.14

2.32

0.35

0.79

3.01

1984

               

I

8.2

7.23

2.29

1.71

0.46

0.30

0.58

4.94

II

7.2

2.57

2.86

2.52

1.36

0.29

0.34

-0.29

III

4.0

1.69

1.48

1.70

0.88

0.25

-0.22

0.21

IV

3.2

-1.08

1.36

1.34

0.86

0.29

0.02

-2.44

1985

               

I

4.0

-2.14

0.72

0.67

-0.23

0.14

0.05

-2.86

II

3.7

1.34

0.99

0.83

0.64

0.20

0.16

0.35

III

6.4

-0.43

-0.28

-0.62

-0.38

0.13

0.34

-0.15

IV

3.0

2.80

1.40

1.00

0.53

0.26

0.40

1.40

1986

               

I

3.8

0.04

0.21

-0.55

-0.28

0.17

0.76

-0.17

II

1.9

-1.30

0.00

-1.12

0.34

0.15

1.12

-1.30

III

4.1

-1.97

-0.34

-0.63

-0.17

0.10

0.28

-1.62

IV

2.1

0.24

0.53

0.48

0.30

0.10

0.05

-0.29

GDP: Gross Domestic Product; GDI: Gross Domestic Investment; PFI: Private Fixed Investment; NRES: Nonresidential; BES: Business Equipment and Software; IPP: Intellectual Property Products; RES: Residential; ∆INV: Change in Private Inventories.

GDI = PFI + ∆INV, may not add exactly because of errors of rounding.

GDP: Seasonally adjusted annual equivalent rate of growth in a quarter; components: percentage points at annual rate.

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

IA2 Swelling Undistributed Corporate Profits. Table IA1-5 provides value added of corporate business, dividends and corporate profits in billions of current dollars at seasonally adjusted annual rates (SAAR) in IVQ2007 and IIQ2013 together with percentage changes. The last three rows of Table IA1-5 provide gross value added of nonfinancial corporate business, consumption of fixed capital and net value added in billions of chained 2009 dollars at SAARs. Deductions from gross value added of corporate profits down the rows of Table IA1-5 end with undistributed corporate profits. Profits after taxes with inventory valuation adjustment (IVA) and capital consumption adjustment (CCA) increased by 100.0 percent in nominal terms from IVQ2007 to IIQ2013 while net dividends increased 26.9 percent and undistributed corporate profits swelled 263.4 percent from $107.7 billion in IQ2007 to $391.4 billion in IIQ2013 and changed signs from minus $55.9 billion in current dollars in IVQ2007. The investment decision of United States corporations has been fractured in the current economic cycle in preference of cash. Gross value added of nonfinancial corporate business adjusted for inflation increased 4.7 percent from IVQ2007 to IIQ2013, which is much lower than nominal increase of 15.3 percent in the same period for gross value added of total corporate business.

Table IA1-5, US, Value Added of Corporate Business, Corporate Profits and Dividends, IVQ2007-IQ2013

 

IVQ2007

IIQ2013

∆%

Current Billions of Dollars Seasonally Adjusted Annual Rates (SAAR)

     

Gross Value Added of Corporate Business

8,165.9

9,414.0

15.3

Consumption of Fixed Capital

1,216.5

1,415.7

16.4

Net Value Added

6,949.4

7,998.3

15.1

Compensation of Employees

4,945.8

5,350.3

8.2

Taxes on Production and Imports Less Subsidies

688.5

752.1

9.2

Net Operating Surplus

1,315.1

1,895.9

44.2

Net Interest and Misc

204.2

113.4

-44.5

Business Current Transfer Payment Net

68.9

98.2

42.5

Corporate Profits with IVA and CCA Adjustments

1,042.0

1,684.3

61.6

Taxes on Corporate Income

408.8

418.2

2.3

Profits after Tax with IVA and CCA Adjustment

633.2

1,266.1

100.0

Net Dividends

689.1

874.7

26.9

Undistributed Profits with IVA and CCA Adjustment

-55.9

391.4

NA

Billions of Chained USD 2009 SAAR

     

Gross Value Added of Nonfinancial Corporate Business

7,519.3

7,873.6

4.7

Consumption of Fixed Capital

1,066.0

1,164.7

9.3

Net Value Added

6,453.4

6,708.9

4.0

IVA: Inventory Valuation Adjustment; CCA: Capital Consumption Adjustment

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

Table IA1-6 provides comparable United States value added of corporate business, corporate profits and dividends from IQ1980 to IIIQ1986. There is significant difference both in nominal and inflation-adjusted data. Between IQ1980 and IIIQ1986, profits after tax with IVA and CCA increased 68.6 percent with dividends growing 110.0 percent and undistributed profits increasing 40.0 percent. There was much higher inflation in the 1980s than in the current cycle. For example, the consumer price index for all items not seasonally adjusted increased 37.9 percent between Mar 1980 and Dec 1986 but only 11.2 percent between Dec 2007 and Jun 2013 (http://www.bls.gov/cpi/data.htm). The comparison is still valid in terms of inflation-adjusted data: gross value added of nonfinancial corporate business adjusted for inflation increased 23.7 percent between IQ1980 and IIIQ1986 but only 4.6 percent between IVQ2007 and IIQ2013 while net value added adjusted for inflation increased 22.4 percent between IQ1980 and IIIQ1986 but only 4.0 percent between IVQ2007 and IIQ2013.

Table IA1-6, US, Value Added of Corporate Business, Corporate Profits and Dividends, IQ1980-IVQ1985

 

IQ1980

IIIQ1986

∆%

Current Billions of Dollars Seasonally Adjusted Annual Rates (SAAR)

     

Gross Value Added of Corporate Business

1,654.1

2,713.5

64.0

Consumption of Fixed Capital

200.5

352.7

75.9

Net Value Added

1,453.6

2,360.9

62.4

Compensation of Employees

1,072.9

1,732.1

61.4

Taxes on Production and Imports Less Subsidies

121.5

220.9

81.8

Net Operating Surplus

259.2

408.0

57.4

Net Interest and Misc.

50.4

105.4

109.1

Business Current Transfer Payment Net

11.5

26.4

129.6

Corporate Profits with IVA and CCA Adjustments

197.2

276.2

40.1

Taxes on Corporate Income

97.0

107.3

10.6

Profits after Tax with IVA and CCA Adjustment

100.2

168.9

68.6

Net Dividends

40.9

85.9

110.0

Undistributed Profits with IVA and CCA Adjustment

59.3

83.0

40.0

Billions of Chained USD 2009 SAAR

     

Gross Value Added of Nonfinancial Corporate Business

2,952.3

3,651.9

23.7

Consumption of Fixed Capital

315.6

423.6

34.2

Net Value Added

2,636.7

3,228.3

22.4

IVA: Inventory Valuation Adjustment; CCA: Capital Consumption Adjustment

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

Chart IA1-12 of the US Bureau of Economic Analysis provides quarterly corporate profits after tax and undistributed profits with IVA and CCA from 1979 to 2013. There is tightness between the series of quarterly corporate profits and undistributed profits in the 1980s with significant gap developing from 1988 and to the present with the closest approximation peaking in IVQ2005 and surrounding quarters. These gaps widened during all recessions including in 1991 and 2001 and recovered in expansions with exceptionally weak performance in the current expansion.

clip_image027

Chart IA1-14, US, Corporate Profits after Tax and Undistributed Profits with Inventory Valuation Adjustment and Capital Consumption Adjustment, Quarterly, 1979-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Table IA1-7 provides price, costs and profit per unit of gross value added of nonfinancial domestic corporate income for IVQ2007 and IIQ2013 in the upper block and for IQ1980 and IIIQ1986 in the lower block. Compensation of employees or labor costs per unit of gross value added of nonfinancial domestic corporate income hardly changed from 0.577 in IVQ2007 to 0.597 in IIQ2013 in a fractured labor market but increased from 0.340 in IQ1980 to 0.434 in IIIQ1986 in a more vibrant labor market. Unit nonlabor costs increased mildly from 0.270 per unit of gross value added in IVQ2007 to 0.293 in IIQ2013 but increased from 0.124 in IQ1980 to 0.181 in IIIQ1986 in an economy closer to full employment of resources. Profits after tax with IVA and CCA per unit of gross value added of nonfinancial domestic corporate income increased from 0.076 in IVQ2007 to 0.122 in IIQ2013 and from 0.029 in IQ1980 to 0.040 in IIIQ1986.

Table IA1-7, US, Price, Costs and Profit per Unit of Gross Value Added of Nonfinancial Domestic Corporate Income

 

IVQ2007

IIQ2013

Price per Unit of Real Gross Value Added of Nonfinancial Corporate Business

0.961

1.046

Compensation of Employees (Unit Labor Cost)

0.577

0.597

Unit Nonlabor Cost

0.270

0.293

Consumption of Fixed Capital

0.140

0.156

Taxes on Production and Imports less Subsidies plus Business Current Transfer Payments (net)

0.093

0.099

Net Interest and Misc. Payments

0.037

0.038

Corporate Profits with IVA and CCA Adjustment (Unit Profits from Current Production)

0.114

0.156

Taxes on Corporate Income

0.038

0.034

Profits after Tax with IVA and CCA Adjustment

0.076

0.122

 

IQ1980

IIIQ1986

Price per Unit of Real Gross Value Added of Nonfinancial Corporate Business

0.518

0.676

Compensation of Employees (Unit Labor Cost)

0.340

0.434

Unit Nonlabor Cost

0.124

0.181

Consumption of Fixed Capital

0.064

0.088

Taxes on Production and Imports less Subsidies plus Business Current Transfer Payments (net)

0.042

0.063

Net Interest and Misc. Payments

0.018

0.030

Corporate Profits with IVA and CCA Adjustment (Unit Profits from Current Production)

0.055

0.061

Taxes on Corporate Income

0.026

0.020

Profits after Tax with IVA and CCA Adjustment

0.029

0.040

IVA: Inventory Valuation Adjustment; CCA: Capital Consumption Adjustment

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

Chart IA1-13 provides quarterly profits after tax with IVA and CCA per unit of gross value added of nonfinancial domestic corporate income from 1980 to 2013. In an environment of idle labor and other productive resources nonfinancial corporate income increased after tax profits with IVA and CCA per unit of gross value added at a faster pace in the weak economy from IVQ2007 to IIQ2013 than in the vibrant expansion of the cyclical contractions of the 1980s. Part of the profits was distributed as dividends and significant part was retained as undistributed profits in the current economic cycle with frustrated investment decision.

clip_image028

Chart IA1-15, US, Profits after Tax with Inventory Valuation Adjustment and Capital Consumption Adjustment per Unit of Gross Value Added of Nonfinancial Domestic Corporate Income, 1980-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Table IA1-8 provides seasonally adjusted annual rates of change of corporate profits from IIIQ2012 to IIQ2013. US corporate profits with inventory valuation adjustment (IVA) and capital consumption adjustment (CCA) fell 1.3 percent in IQ2013 and 0.1 percent after taxes. Corporate profits with IVA and CCA rebounded at 3.3 percent in IIQ2013 and at 3.5 percent after taxes. Net dividends jumped 16.2 percent in IVQ2012 in generalized anticipation of income because of fear of the so-called “fiscal cliff,” or increases in taxes in 2013, and fell 12.0 percent in IQ2013 in adjustment to normal levels. Net dividends jumped at 35.8 percent in IIQ2013. Undistributed profits fell 9.7 percent in IVQ2012 in anticipation of tax increases and adjusted by increasing 13.7 percent in IQ2013. Undistributed profits fell at 25.5 percent in IIQ2013.

Table IA1-8, Quarterly Seasonally Adjusted Annual Equivalent Percentage Rates of Change of Corporate Profits, ∆%

 

IIIQ2012

IVQ2012

IQ2013

IIQ2013

Corporate Profits with IVA and CCA

0.7

1.7

-1.3

3.3

Corporate Income Taxes

2.2

-1.3

-5.8

2.4

After Tax Profits with IVA and CCA

0.3

2.6

-0.1

3.5

Net Dividends

1.0

16.2

-12.0

35.8

Und Profits with IVA and CCA

-0.3

-9.7

13.7

-25.5

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

Table IA1-9 provides change from prior quarter of the level of seasonally adjusted annual rates of US corporate profits. Corporate profits with IVA and CCA fell $26.6 billion in IQ2013 after increasing $34.9 billion in IVQ2012 and $13.9 billion in IIIQ2012. Corporate profits with IVA and CCA rebounded with $66.8 billion in IIQ2013. Profits after tax with IVA and CCA fell $1.7 billion in IQ2013 after increasing $40.8 billion in IVQ2012 and $4.5 billion in IIIQ2012. In IIQ2013, profits after tax with IVA and CCA increased $56.9 billion. Anticipation of higher taxes in the “fiscal cliff” episode caused increase of $120.9 billion in net dividends in IVQ2012 followed with adjustment in the form of decrease of net dividends by $103.8 billion in IQ2013, rebounding with $273.5 billion in IIQ2013. There is similar decrease of $80.1 billion in undistributed profits with IVA and CCA in IVQ2012 followed by increase of $102.1 billion in IQ2013 and decline of $216.6 billion in IIQ2013. Undistributed profits of US corporations swelled 263.4 percent from $107.7 billion IQ2007 to $391.4 billion in IIQ2013 and changed signs from minus $55.9 billion in billion in IVQ2007 (Section IA2). In IQ2013, corporate profits with inventory valuation and capital consumption adjustment fell $26.6 billion relative to IVQ2012, from $2047.2 billion to $2020.6 billion at the quarterly rate of minus 1.3 percent. In IIQ2013, corporate profits with IVA and CCA increased $66.8 billion from $2020.6 billion in IQ2013 to $2087.4 billion at the quarterly rate of 3.3 percent (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.pdf). Uncertainty originating in fiscal, regulatory and monetary policy causes wide swings in expectations and decisions by the private sector with adverse effects on investment, real economic activity and employment.

Table IA1-9, Change from Prior Quarter of Level of Seasonally Adjusted Annual Equivalent Rates of Corporate Profits, Billions of Dollars

 

IIIQ2012

IVQ2012

IQ2013

IIQ2013

Corporate Profits with IVA and CCA

13.9

34.9

-26.6

66.8

Corporate Income Taxes

9.4

-5.9

-25.0

10.0

After Tax Profits with IVA and CCA

4.5

40.8

-1.7

56.9

Net Dividends

7.1

120.9

-103.8

273.5

Und Profits with IVA and CCA

-2.6

-80.1

102.1

-216.6

Source: Bureau of Economic Analysis

http://bea.gov/iTable/index_nipa.cfm

IB Stagnating Real Disposable Income and Consumption Expenditures. The Bureau of Economic Analysis (BEA) provides important revisions and enhancements of data on personal income and outlays since 1929 (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0713.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf http://www.bea.gov/iTable/index_nipa.cfm). There are waves of changes in personal income and expenditures in Table IB-1 that correspond somewhat to inflation waves observed worldwide (http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html) because of the influence through price indexes. Data are distorted in Nov and Dec 2012 by the rush to realize income of all forms in anticipation of tax increases beginning in Jan 2013. There is major distortion in Jan 2013 because of higher contributions in payrolls to government social insurance that caused sharp reduction in personal income and disposable personal income. The Bureau of Economic Analysis (BEA) explains as follows (page 3 http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0313.pdf):

“The February and January [2013] changes in disposable personal income (DPI) mainly reflected the effect of special factors in January, such as the expiration of the “payroll tax holiday” and the acceleration of bonuses and personal dividends to November and to December [2012] in anticipation of changes in individual tax rates.”

In the first wave in Jan-Apr 2011 with relaxed risk aversion, nominal personal income (NPI) increased at the annual equivalent rate of 8.1 percent, nominal disposable personal income (NDPI) at 5.2 percent and nominal personal consumption expenditures (NPCE) at 5.5 percent. Real disposable income (RDPI) increased at the annual equivalent rate of 1.8 percent and real personal consumption expenditures (RPCE) rose at annual equivalent 2.1 percent. In the second wave in May-Aug 2011 under risk aversion, NPI rose at annual equivalent 4.3 percent, NPDI at 4.3 percent and NPCE at 4.0 percent. RDPI increased at 1.8 percent annual equivalent and RPCE at 1.5 percent annual equivalent. With mixed shocks of risk aversion in the third wave from Sep to Dec 2011, NPI rose at 1.5 percent annual equivalent, NDPI at 1.5 percent and NPCE at 3.3 percent. RDPI increased at 0.3 percent annual equivalent and RPCE at 2.1 percent annual equivalent. In the fourth wave from Jan to Mar 2012, NPI increased at 8.3 percent annual equivalent and NDPI at 7.0 percent. Real disposable income (RDPI) is more dynamic in the revisions, growing at 3.7 percent annual equivalent and RPCE at 3.7 percent. The policy of repressing savings with zero interest rates stimulated growth of nominal consumption (NPCE) at the annual equivalent rate of 6.6 percent and real consumption (RPCE) at 3.7 percent. In the fifth wave in Apr-Jul 2012, NPI increased at annual equivalent 1.2 percent, NDPI at 1.2 percent and RDPI at 0.6 percent. Financial repression failed to stimulate consumption with NPCE growing at 2.1 percent annual equivalent and RPCE at 2.1 percent. In the sixth wave in Aug-Oct 2012, in another wave of carry trades into commodity futures, NPI increased at 4.5 percent annual equivalent and NDPI increased at 3.7 percent while real disposable income (RDPI) increased at 0.4 percent annual equivalent. Data for Nov-Dec 2012 have illusory increases: “Personal income in November and December was boosted by accelerated and special dividend payments to persons and by accelerated bonus payments and other irregular pay in private wages and salaries in anticipation of changes in individual income tax rates. Personal income in December was also boosted by lump-sum social security benefit payments” (page 2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi1212.pdf). In the seventh wave, anticipations of tax increases in Jan 2013 caused exceptional income gains that increased personal income to annual equivalent 29.0 percent in Nov-Dec 2012, nominal disposable income at 29.0 percent and real disposable personal income at 29.8 percent with likely effects on nominal personal consumption that increased at 1.8 percent and real personal consumption at 2.4 percent with subdued prices. The numbers in parentheses show that without the exceptional effects NDPI (nominal disposable personal income) increased at 5.5 percent and RDPI (real disposable personal income) at 8.7 percent. In the eighth wave, nominal personal income fell 4.4 percent in Jan 2013 or at the annual equivalent rate of decline of 41.7 percent; nominal disposable personal income fell 5.1 percent or at the annual equivalent rate of decline of 46.6 percent; real disposable income fell 5.1 percent or at the annual rate of decline of 46.6 percent; nominal personal consumption expenditures increased 0.2 percent or at the annual equivalent rate of 2.4 percent; and real personal consumption expenditures increased 0.1 percent or at the annual equivalent rate of 1.2 percent. The savings rate fell significantly from 8.7 percent in Dec 2012 to 3.6 percent in Jan 2013. The Bureau of Economic Analysis explains as follows (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0113.pdf 3):

“Contributions for government social insurance -- a subtraction in calculating personal income -- increased $126.7 billion in January, compared with an increase of $6.3 billion in December. The

January estimate reflected increases in both employer and employee contributions for government social insurance. The January estimate of employee contributions for government social insurance reflected the expiration of the “payroll tax holiday,” that increased the social security contribution rate for employees and self-employed workers by 2.0 percentage points, or $114.1 billion at an annual rate. For additional information, see FAQ on “How did the expiration of the payroll tax holiday affect personal income for January 2013?” at www.bea.gov. The January estimate of employee contributions for government social insurance also reflected an increase in the monthly premiums paid by participants in the supplementary medical insurance program, in the hospital insurance provisions of the Patient Protection and Affordable Care Act, and in the social security taxable wage base; together, these changes added $12.8 billion to January. As noted above, employer contributions were boosted $5.9 billion in January, so the total contribution of special factors to the January change in contributions for government social insurance was $132.8 billion”

Further explanation is provided by the Bureau of Economic Analysis (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0213.pdf 2-3):

“Contributions for government social insurance -- a subtraction in calculating personal income --increased $6.4 billion in February, compared with an increase of $126.8 billion in January. The

January estimate reflected increases in both employer and employee contributions for government social insurance. The January estimate of employee contributions for government social insurance reflected the expiration of the “payroll tax holiday,” that increased the social security contribution rate for employees and self-employed workers by 2.0 percentage points, or $114.1 billion at an annual rate. For additional information, see FAQ on “How did the expiration of the payroll tax holiday affect personal income for January 2013?” at www.bea.gov. The January estimate of employee contributions for government social insurance also reflected an increase in the monthly premiums paid by participants in the supplementary medical insurance program, in the hospital insurance provisions of the Patient Protection and Affordable Care Act, and in the social security taxable wage base; together, these changes added $12.9 billion to January. Employer contributions were boosted $5.9 billion in January, which reflected increases in the social security taxable wage base (from $110,100 to $113,700), in the tax rates paid by employers to state unemployment insurance, and in employer contributions for the federal unemployment tax and for pension guaranty. The total contribution of special factors to the January change in contributions for government social insurance was $132.9 billion. The January change in disposable personal income (DPI) mainly reflected the effect of special factors, such as the expiration of the “payroll tax holiday” and the acceleration of bonuses and personal dividends to December in anticipation of changes in individual tax rates. Excluding these special factors and others, which are discussed more fully below, DPI increased $46.8 billion in February, or 0.4 percent, after increasing $15.8 billion, or 0.1 percent, in January.”

The increase was provided in the “fiscal cliff” law H.R. 8 American Taxpayer Relief Act of 2012 (http://www.gpo.gov/fdsys/pkg/BILLS-112hr8eas/pdf/BILLS-112hr8eas.pdf). In the ninth wave in Feb-Mar 2013, nominal personal income increased at 10.0 percent and nominal disposable income at 10.0 percent annual equivalent, while real disposable income increased at 8.1 percent annual equivalent. Nominal personal consumption expenditures grew at 5.5 annual equivalent and real personal consumption expenditures at 3.7 percent annual equivalent. The savings rate collapsed from 5.0 percent in Oct 2012, 5.9 percent in Nov 2012 and 8.7 percent in Dec 2012 to 3.6 percent in Jan 2013, 4.2 percent in Feb 2013 and 4.3 percent in Mar 2013. In the tenth wave from Apr to Aug 2013, personal income grew at 2.9 percent annual equivalent, nominal disposable income increased at annual equivalent 3.2 percent and nominal personal consumption expenditures at 2.7 percent. Real disposable income grew at 1.9 percent annual equivalent and real personal consumption expenditures at 1.4 percent.

The United States economy has grown at the average yearly rate of 3 percent per year and 2 percent per year in per capita terms from 1870 to 2010, as measured by Lucas (2011May). An important characteristic of the economic cycle in the US has been rapid growth in the initial phase of expansion after recessions.

Inferior performance of the US economy and labor markets is the critical current issue of analysis and policy design. Long-term economic performance in the United States consisted of trend growth of GDP at 3 percent per year and of per capita GDP at 2 percent per year as measured for 1870 to 2010 by Robert E Lucas (2011May). The economy returned to trend growth after adverse events such as wars and recessions. The key characteristic of adversities such as recessions was much higher rates of growth in expansion periods that permitted the economy to recover output, income and employment losses that occurred during the contractions. Over the business cycle, the economy compensated the losses of contractions with higher growth in expansions to maintain trend growth of GDP of 3 percent and of GDP per capita of 2 percent. US economic growth has been at only 2.2 percent on average in the cyclical expansion in the 16 quarters from IIIQ2009 to IIQ2013. 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 http://bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_adv.pdf http://bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf) and the second estimate of GDP for IIQ2013 (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.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/2013/09/increasing-interest-rate-risk.html). The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.7 percent and at 7.8 percent from IQ1983 to IVQ1983 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). As a result, there are 28.3 million unemployed or underemployed in the United States for an effective unemployment rate of 17.4 percent (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html).

RDPI stagnated in Jan-Dec 2011 at 1.2 percent with the latest revised data compared with growth of 2.8 percent in Jan-Dec 2010 but grew at annual equivalent 3.7 percent in Jan-Mar 2012 and 0.6 percent in Apr-Jul 2012. The salient deceleration is the decline of the annual equivalent rate of NPCE (nominal personal consumption expenditures) to 2.1 percent annual equivalent in Apr-Jul 2012 and of RPCE (real personal consumption expenditures) to 2.1 percent. A bump occurred in Aug 2012 with increases of commodity prices by the carry trade from zero interest rates to exposures in commodity futures and other risk financial assets. Real disposable income fell 0.3 percent in Aug 2012 or at annual equivalent minus 3.5 percent. Nominal personal consumption expenditures increased 0.2 percent in Aug 2012 or at annual equivalent 2.4 percent but declined 0.1 percent in real terms. Nominal personal income increased 0.1 percent in Aug 2012 or 1.2 percent annual equivalent while nominal disposable income was flat at 0.0 percent. Real disposable income (RDPI) increased 0.2 percent in Oct 2012 while real personal consumption expenditures (RPCE) decreased 0.1 percent. RDPI increased 1.3 percent in Nov 2012 and 3.1 percent in Dec 2012 because of realization of incomes in anticipation of tax increases in Jan 2013 while RPCE increased 0.3 percent in Nov 2012 and 0.1 percent in Dec 2012. In Jan-Dec 2012, RDPI increased 5.9 percent and RPCE 2.2 percent. NPI contracted 4.4 percent in Jan 2013, NDPI 5.1 percent and RDPI 5.1 percent but NPCE increased 0.2 percent and RPCE 0.1 percent, probably by drawing on savings. There is strong recovery in Feb-Mar 2013 and renewed weakness in Apr 2013. While NPI increased at 2.9 percent and NDPI at 3.2 in annual equivalent in Apr-Aug 2013 and RDPI at 1.9 percent, NPCE stagnated in Apr-May 2013 and RPCE increased at 0.6 percent.

Table IB-1, US, Percentage Change from Prior Month Seasonally Adjusted of Personal Income, Disposable Income and Personal Consumption Expenditures %

 

NPI

NDPI

RDPI

NPCE

RPCE

2013

         

Aug

0.4

0.5

0.3

0.3

0.2

Jul

0.2

0.3

0.2

0.2

0.1

Jun

0.3

0.3

-0.1

0.6

0.2

May

0.3

0.3

0.2

0.2

0.1

Apr

0.0

-0.1

0.2

-0.2

0.0

AE ∆% Apr-Aug

2.9

3.2

1.9

2.7

1.4

Mar

0.3

0.3

0.4

0.2

0.3

Feb

1.3

1.3

0.9

0.7

0.3

AE ∆% Feb-Mar

10.0

10.0

8.1

5.5

3.7

Jan

-4.4

-5.1 (0.1)a

-5.1

0.2

0.1

AE ∆% Jan

-41.7

-46.6 (3.7)a

-46.6

2.4

1.2

2012

         

∆% Jan-Dec 2012***

7.9

7.5

5.9

3.8

2.2

Dec

3.1

3.1 (0.3)*

3.1 (0.5)*

0.1

0.1

Nov

1.2

1.2 (0.6)*

1.3 (0.9)*

0.2

0.3

AE ∆% Nov-Dec

29.0

29.0 (5.5)*

29.8 (8.7)*

1.8

2.4

Oct

0.4

0.4

0.2

0.1

-0.1

Sep

0.6

0.5

0.2

0.7

0.4

Aug

0.1

0.0

-0.3

0.2

-0.1

AE ∆% Aug-Oct

4.5

3.7

0.4

4.1

0.8

Jul

-0.1

-0.1

-0.1

0.4

0.4

Jun

0.3

0.3

0.1

0.1

0.0

May

0.0

0.0

0.0

-0.1

0.0

Apr

0.2

0.2

0.2

0.3

0.3

AE ∆% Apr-Jul

1.2

1.2

0.6

2.1

2.1

Mar

0.4

0.3

0.1

0.2

0.0

Feb

0.7

0.6

0.3

0.8

0.5

Jan

0.9

0.8

0.5

0.6

0.4

AE ∆% Jan-Mar

8.3

7.0

3.7

6.6

3.7

2011

         

∆% Jan-Dec 2011*

4.6

3.6

1.2

4.3

1.8

Dec

0.7

0.6

0.6

0.0

0.0

Nov

-0.1

-0.1

-0.2

0.2

0.0

Oct

0.0

0.1

0.0

0.4

0.4

Sep

-0.1

-0.1

-0.3

0.5

0.3

AE ∆% Sep-Dec

1.5

1.5

0.3

3.3

2.1

Aug

0.1

0.1

-0.1

0.2

0.0

Jul

0.6

0.6

0.4

0.5

0.3

Jun

0.4

0.4

0.3

0.3

0.2

May

0.3

0.3

0.0

0.3

0.0

AE ∆% May-Aug

4.3

4.3

1.8

4.0

1.5

Apr

0.2

0.2

-0.1

0.4

0.0

Mar

0.2

0.2

-0.2

0.7

0.4

Feb

0.6

0.5

0.3

0.4

0.2

Jan

1.6

0.8

0.6

0.3

0.1

AE ∆% Jan-Apr

8.1

5.2

1.8

5.5

2.1

2010

         

∆% Jan-Dec 2010**

4.8

4.2

2.8

4.4

2.9

Dec

0.9

0.9

0.7

0.3

0.1

Nov

0.5

0.4

0.3

0.6

0.4

Oct

0.5

0.5

0.2

0.8

0.5

IVQ2010∆%

1.9

1.8

1.2

1.7

1.0

IVQ2010 AE ∆%

7.9

7.4

4.9

7.0

4.1

Notes: *Excluding exceptional income gains in Nov and Dec 2012 because of anticipated tax increases in Jan 2013 ((page 2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi1212.pdf). a Excluding employee contributions for government social insurance (pages 1-2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0113.pdf )Excluding NPI: current dollars personal income; NDPI: current dollars disposable personal income; RDPI: chained (2005) dollars DPI; NPCE: current dollars personal consumption expenditures; RPCE: chained (2005) dollars PCE; AE: annual equivalent; IVQ2010: fourth quarter 2010; A: annual equivalent

Percentage change month to month seasonally adjusted

*∆% Dec 2011/Dec 2010 **∆% Dec 2010/Dec 2009 *** ∆% Dec 2012/Dec 2011

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

Table IB-2 provides further information on income and consumption. The 12-month rate of increase of RDPI of 2.8 percent in Dec 2010 fell to 1.2 percent in Dec 2011 while RPCE fell from 2.9 percent to 1.8 percent. Revisions shows increase of RDPI of 1.1 percent in the 12 months ending in Jan 2012 and marginal increase to 1.2 percent in the 12 months ending in Feb 2012. The significant difference is continuing growth of 12-month percentage changes of RDPI with 1.7 percent in Jun 2012, 1.6 percent in Sep 2013 and 1.7 percent in Oct 2012 followed by 3.2 percent in Nov 2012 and 5.9 percent in Dec 2012. The BEA explains increases of RDPI in Nov-Dec 2012: “Personal income in November and December was boosted by accelerated and special dividend payments to persons and by accelerated bonus payments and other irregular pay in private wages and salaries in anticipation of changes in individual income tax rates. Personal income in December was also boosted by lump-sum social security benefit payments” (page 2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi1212.pdf). The 12-month rate of growth of real disposable personal income fell from 5.9 percent in Dec 2012 to minus 0.1 percent in Jan 2013, increasing to 0.5 percent in Feb 2013, 0.8 percent in Mar 2013 and 0.9 percent in May 2013, 1.0 percent in Jul 2013 and 1.6 percent in Aug 2013. Real disposable income fell 5.1 percent in Jan 2013, which is explained by the Bureau of Economic Analysis as follows (page 2 http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0213.pdf):

“The January change in disposable personal income (DPI) mainly reflected the effect of special factors, such as the expiration of the “payroll tax holiday” and the acceleration of bonuses and personal dividends to December in anticipation of changes in individual tax rates. Excluding these special factors and others, which are discussed more fully below, DPI increased $46.8 billion in February, or 0.4 percent, after increasing $15.8 billion, or 0.1 percent, in January.”

The increase was provided in the “fiscal cliff” law H.R. 8 American Taxpayer Relief Act of 2012 (http://www.gpo.gov/fdsys/pkg/BILLS-112hr8eas/pdf/BILLS-112hr8eas.pdf)

RPCE growth decelerated less sharply from close to 3 percent in IVQ 2010 to 2.1 percent in Mar 2012, 1.8 percent in Oct 2012, 2.1 percent in Nov 2012, 2.2 percent in Dec 2012 perhaps also with some effects of anticipations of tax increases in Jan 2013, 2.0 percent in Jan 2013 by burning savings, 1.7 percent in Feb 2013 and 2.0 percent in Mar 2013. RPCE increased 1.7 percent in the 12 months ending in Apr 2013, 1.8 percent in the 12 months ending in May 2013 and 2.0 percent in the 12 months ending in Jun 2013. RPCE increased 2.0 percent in the 12 months ending in Aug 2013. Subdued growth of RPCE could affect revenues of business. Growth rates of personal consumption have weakened. Goods and especially durable goods have been driving growth of PCE as shown by the much higher 12-month rates of growth of real goods PCE (RPCEG) and durable goods real PCE (RPCEGD) than services real PCE (RPCES). Growth of consumption of goods and, in particular, of consumer durable goods drives the faster expansion of the economy while growth of consumption of services is much more moderate. The 12-month rates of growth of RPCEGD have fallen from around 10 percent and even higher in several months from Sep 2010 to Feb 2011 to the range of 6.4 to 9.1 percent from Jan 2012 to Aug 2013. RPCEG growth rates have fallen from around 5 percent late in 2010 and early Jan-Feb 2011 to the range of 2.3 to 4.1 percent from Jan 2012 to Aug 2013. Growth rates in 12 months of goods and durable goods increased again toward the end of 2012 with strength continuing into 2013. In Aug 2013, RPCEG increased 3.8 percent in 12 months and RPCEGD 8.0 percent while RPCES increased only 1.1 percent. There are limits to sustained growth based on financial repression in an environment of weak labor markets and real labor remuneration.

Table IB-2, Real Disposable Personal Income and Real Personal Consumption Expenditures

Percentage Change from the Same Month a Year Earlier %

 

RDPI

RPCE

RPCEG

RPCEGD

RPCES

2013

         

Aug

1.6

2.0

3.8

8.0

1.1

Jul

1.0

1.7

3.9

8.0

0.6

Jun

0.7

2.0

4.1

8.3

1.0

May

0.9

1.8

3.6

7.7

0.9

Apr

0.8

1.7

3.0

7.1

1.1

Mar

0.8

2.0

3.1

6.3

1.4

Feb

0.5

1.7

3.2

6.6

0.9

Jan

-0.1

2.0

3.7

7.7

1.1

2012

         

Dec

5.9

2.2

4.2

9.0

1.2

Nov

3.2

2.1

3.6

8.4

1.4

Oct

1.7

1.8

2.8

6.1

1.3

Sep

1.6

2.3

4.1

8.8

1.4

Aug

1.1

2.1

4.0

9.1

1.2

Jul

1.2

2.2

3.4

7.9

1.6

Jun

1.7

2.2

3.2

8.9

1.7

May

1.9

2.4

3.5

7.7

1.8

Apr

1.8

2.4

3.0

6.7

2.1

Mar

1.5

2.1

2.9

6.5

1.7

Feb

1.2

2.5

3.0

7.5

2.2

Jan

1.1

2.1

2.3

6.4

1.9

Dec 2011

1.2

1.8

1.9

5.8

1.7

Dec 2010

2.8

2.9

4.7

8.4

2.1

Notes: RDPI: real disposable personal income; RPCE: real personal consumption expenditures (PCE); RPCEG: real PCE goods; RPCEGD: RPCEG durable goods; RPCES: RPCE services

Numbers are percentage changes from the same month a year earlier

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

Chart IB-1 shows US real personal consumption expenditures (RPCE) between 1995 and 2013. There is an evident drop in RPCE during the global recession in 2007 to 2009 but the slope is flatter during the current recovery than in the period before 2007.

clip_image029

Chart IB-1, US, Real Personal Consumption Expenditures, Quarterly Seasonally Adjusted at Annual Rates 1999-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Percent changes from the prior period in seasonally adjusted annual equivalent quarterly rates (SAAR) of real personal consumption expenditures (RPCE) are provided in Chart IB-2 from 1995 to 2013. The average rate could be visualized as a horizontal line. Although there are not yet sufficient observations, it appears from Chart II-2 that the average rate of growth of RPCE was higher before the recession than during the past sixteen quarters of expansion that began in IIIQ2009.

clip_image030

Chart IB-2, Percent Change from Prior Period in Real Personal Consumption Expenditures, Quarterly Seasonally Adjusted at Annual Rates 1995-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Personal income and its disposition are shown in Table IB-3. The latest estimates and revisions have changed movements in four forms. (1) Increase in Aug 2013 of personal income by $57.2 billion or 0.4 percent and disposable income of $56.2 billion or 0.5 percent with increase of wages and salaries of 0.4 percent. (2) Decrease of personal income of $232.0 billion from Dec 2012 to Aug 2013 or by 1.6 percent and decrease of disposable income of $306.4 billion or by 2.4 percent. Wages and salaries decreased $68.0 billion from Dec 2012 to Aug 2013 or by 0.9 percent. In 2012, personal income increased $1060.8 billion or 7.9 percent while salaries increased 7.6 percent and disposable income 7.5 percent. Significant part of these gains occurred in Dec 2012 in anticipation of incomes because of tax increases beginning in Jan 2013. (3) Increase of $591.6 billion of personal income in 2011 or by 4.6 percent with increase of salaries of 2.8 percent and disposable income of 3.6 percent. (4) Decline of the rate of savings as percent of disposable income from 5.8 percent in Dec 2010 to 5.4 percent in Dec 2011 and 4.6 percent in Aug 2013.

Table IB-3, US, Personal Income and its Disposition, Seasonally Adjusted at Annual Rates USD Billions

 

Personal
Income

Wages &
Salaries

Personal
Taxes

DPI

Savings
Rate %

Aug         2013

14,188.2

7,132.8

1,665.4

12,522.8

4.6

Jul        2013

14,131.0

7,102.4

1,664.4

12,466.6

4.5

Change  Jul 2013/    Jun 2013

57.2 ∆% 0.4

30.4 ∆% 0.4

1.0 ∆% 0.1

56.2 ∆% 0.5

 

Jan 2013

13,791.7

7,001.5

1,612.9

12,178.7

3.6

Dec 2012

14,420.2

7,200.8

1,591.0

12,829.2

8.7

Change Aug 2013/ Dec 2012

-232.0 ∆% -1.6

-68.0 ∆% -0.9

74.4 ∆%

4.7

-306.4 ∆% -2.4

 

Change Dec 2012/ Dec 2011

1060.8 ∆% 7.9

510.7 ∆% 7.6

163.3 ∆% 11.4

897.6 ∆% 7.5

 

Dec 2011

13,359.4

6,690.1

1,427.7

11,931.6

5.4

Dec 2010

12,767.8

6,506.0

1,254.2

11,513.7

5.8

Change Dec 2011/ Dec 2010

591.6 ∆%

4.6

184.1   ∆% 2.8

173.5     ∆% 13.8

417.9    ∆% 3.6

 

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

The Bureau of Economic Analysis (BEA) provides a wealth of revisions and enhancements of US personal income and outlays since 1929 (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0713.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf http://www.bea.gov/iTable/index_nipa.cfm). Table IB-4 provides growth rates of real disposable income and real disposable income per capita in the long-term and selected periods. Real disposable income consists of after-tax income adjusted for inflation. Real disposable income per capita is income per person after taxes and inflation. There is remarkable long-term trend of real disposable income of 3.2 percent per year on average from 1929 to 2012 and 2.0 percent in real disposable income per capita. Real disposable income increased at the average yearly rate of 3.7 percent from 1947 to 1999 and real disposable income per capita at 2.3 percent. These rates of increase broadly accompany rates of growth of GDP. Institutional arrangements in the United States provided the environment for growth of output and income after taxes, inflation and population growth. There is significant break of growth by much lower 2.4 percent for real disposable income on average from 1999 to 2012 and 1.5 percent in real disposable per capita income. Real disposable income grew at 3.5 percent from 1980 to 1989 and real disposable per capita income at 2.6 percent. In contrast, real disposable income grew at only 1.4 percent on average from 2006 to 2012 and real disposable income at 0.6 percent. The United States has interrupted its long-term and cyclical dynamism of output, income and employment growth. Recovery of this dynamism could prove to be a major challenge.

Table IB-4, Average Annual Growth Rates of Real Disposable Income (RDPI) and Real Disposable Income per Capita (RDPIPC), Percent per Year 

RDPI Average ∆%

 

     1929-2012

3.2

     1947-1999

3.7

     1999-2012

2.4

     1999-2006

3.2

     1980-1989

3.5

     2006-2012

1.4

RDPIPC Average ∆%

 

     1929-2012

2.0

     1947-1999

2.3

     1999-2012

1.5

     1999-2006

2.2

     1980-1989

2.6

     2006-2012

0.6

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

Chart IB-3 provides personal income in the US between 1980 and 1989. These data are not adjusted for inflation that was still high in the 1980s in the exit from the Great Inflation of the 1960s and 1970s. Personal income grew steadily during the 1980s after recovery from two recessions from Jan IQ1980 to Jul IIIQ1980 and from Jul IIIQ1981 to Nov IVQ1982.

clip_image031

Chart IB-3, US, Personal Income, Billion Dollars, Quarterly Seasonally Adjusted at Annual Rates, 1980-1989

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

A different evolution of personal income is shown in Chart IB-4. Personal income also fell during the recession from Dec IVQ2007 to Jun IIQ2009 (http://www.nber.org/cycles.html). Growth of personal income during the expansion has been tepid even with the new revisions. In IVQ2012, nominal disposable personal income grew at the SAAR of 11.9 percent and real disposable personal income at 9.0 percent (http://www.bea.gov/iTable/index_nipa.cfm http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0713.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf), which the BEA explains as: “Personal income in November and December was boosted by accelerated and special dividend payments to persons and by accelerated bonus payments and other irregular pay in private wages and salaries in anticipation of changes in individual income tax rates. Personal income in December was also boosted by lump-sum social security benefit payments” (page 2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi1212.pdf pages 1-2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0113.pdf). The Bureau of Economic Analysis explains as (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0213.pdf 2-3): “The January estimate of employee contributions for government social insurance reflected the expiration of the “payroll tax holiday,” that increased the social security contribution rate for employees and self-employed workers by 2.0 percentage points, or $114.1 billion at an annual rate. For additional information, see FAQ on “How did the expiration of the payroll tax holiday affect personal income for January 2013?” at www.bea.gov. The January estimate of employee contributions for government social insurance also reflected an increase in the monthly premiums paid by participants in the supplementary medical insurance program, in the hospital insurance provisions of the Patient Protection and Affordable Care Act, and in the social security taxable wage base.”

The increase was provided in the “fiscal cliff” law H.R. 8 American Taxpayer Relief Act of 2012 (http://www.gpo.gov/fdsys/pkg/BILLS-112hr8eas/pdf/BILLS-112hr8eas.pdf).

In IQ2013, personal income fell at the SAAR of minus 4.1 percent; real personal income excluding current transfer receipts at minus 7.2 percent; and real disposable personal income at minus 7.9 percent (Table 6 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf). The BEA explains as follows (page 3 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0313.pdf):

“The February and January changes in disposable personal income (DPI) mainly reflected the effect of special factors in January, such as the expiration of the “payroll tax holiday” and the acceleration of bonuses and personal dividends to November and to December in anticipation of changes in individual tax rates.”

In IIQ2013, personal income grew at 4.1 percent, real personal income excluding current transfer receipts at 4.9 percent and real disposable income at 3.5 percent (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf).

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Chart IB-4, US, Personal Income, Current Billions of Dollars, Quarterly Seasonally Adjusted at Annual Rates, 2007-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Real or inflation-adjusted disposable personal income is provided in Chart IB-5 from 1980 to 1989. Real disposable income after allowing for taxes and inflation grew steadily at high rates during the entire decade.

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Chart IB-5, US, Real Disposable Income, Billions of Chained 2009 Dollars, Quarterly Seasonally Adjusted at Annual Rates 1980-1989

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

In IQ2013, personal income fell at the SAAR of minus 4.1 percent; real personal income excluding current transfer receipts at minus 7.2 percent; and real disposable personal income at minus 7.9 percent (Table 6 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf)The BEA explains as follows (page 3 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0313.pdf):

“The February and January changes in disposable personal income (DPI) mainly reflected the effect of special factors in January, such as the expiration of the “payroll tax holiday” and the acceleration of bonuses and personal dividends to November and to December in anticipation of changes in individual tax rates.”

This is the explanation for the decline in IQ2013 in Chart IB-6. In IIQ2013, personal income increased at 4.1 percent, real disposable income excluding current transfer receipts at 4.9 percent and real disposable income at 3.5 percent (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf).

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Chart IB-6, US, Real Disposable Income, Billions of Chained 2009 Dollars, Quarterly Seasonally Adjusted at Annual Rates, 2007-2013

http://www.bea.gov/iTable/index_nipa.cfm

Chart IB-7 provides percentage quarterly changes in real disposable income from the preceding period at seasonally adjusted annual rates from 1980 to 1989. Rates of changes were high during the decade with few negative changes.

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Chart IB-7, US, Real Disposable Income Percentage Change from Preceding Period at Quarterly Seasonally-Adjusted Annual Rates, 1980-1989

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IB-8 provides percentage quarterly changes in real disposable income from the preceding period at seasonally adjusted annual rates from 2007 to 2013. There has been a period of positive rates followed by decline of rates and then negative and low rates in 2011. Recovery in 2012 has not reproduced the dynamism of the brief early phase of expansion. In IVQ2012, nominal disposable personal income grew at the SAAR of 10.7 percent and real disposable personal income at 9.0 percent (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf), which the BEA explains as: “Personal income in November and December was boosted by accelerated and special dividend payments to persons and by accelerated bonus payments and other irregular pay in private wages and salaries in anticipation of changes in individual income tax rates. Personal income in December was also boosted by lump-sum social security benefit payments” (page 2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi1212.pdf). In IQ2013, personal income fell at the SAAR of minus 4.1 percent; real personal income excluding current transfer receipts at minus 7.2 percent; and real disposable personal income at minus 7.9 percent (Table 6 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0713.pdf). The BEA explains as follows (page 3 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0313.pdf):

“The February and January changes in disposable personal income (DPI) mainly reflected the effect of special factors in January, such as the expiration of the “payroll tax holiday” and the acceleration of bonuses and personal dividends to November and to December in anticipation of changes in individual tax rates.”

In IIQ2013, personal income grew at 4.1 percent, real personal income excluding current transfer receipts at 4.9 percent and real disposable personal income at 3.5 percent (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf).

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Chart, IB-8, US, Real Disposable Income, Percentage Change from Preceding Period at Seasonally-Adjusted Annual Rates, 2007-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

In the latest available report, the Bureau of Economic Analysis (BEA) estimates US personal income in Aug 2013 at the seasonally adjusted annual rate of $14,188.2 billion, as shown in Table IB-3 above (see Table 1 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf). The major portion of personal income is compensation of employees of $8,855.9 billion, or 62.4 percent of the total. Wages and salaries are $7,132.8 billion, of which $5,945.4 billion by private industries and supplements to wages and salaries of $1,723.1 billion (employer contributions to pension and insurance funds are $1,192.7 billion and contributions to social insurance are $530.4 billion). In Aug 1985, US personal income was $3,748.9 billion at SAAR (http://www.bea.gov/iTable/index_nipa.cfm). Compensation of employees was $2,559.0 billion, or 68.3 percent of the total. Wages and salaries were $2,113.6 billion of which $1714.4 billion by private industries. Supplements to wages and salaries were $445.4 billion with employer contributions to pension and insurance funds of $286.5 billion and $157.9 billion to government social insurance. Chart IB-9 provides US wages and salaries by private industries in the 1980s. Growth was robust after the interruption of the recessions.

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Chart IB-9, US, Wages and Salaries, Private Industries, Quarterly, Seasonally Adjusted at Annual Rates Billions of Dollars, 1980-1989

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart II-10 shows US wages and salaries of private industries from 2007 to 2012. There is a drop during the contraction followed by initial recovery in 2010 and then the current much weaker relative performance in 2011, 2012 and 2013.

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Chart IB-10, US, Wage and Salary Disbursement, Private Industries, Quarterly, Seasonally Adjusted at Annual Rates, Billions of Dollars 2007-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IB-11 provides finer detail with monthly wages and salaries of private industries from 2007 to 2013. Total wages and salaries decreased 0.9 percent from Dec 2012 to Aug 2013, as shown in Table IB-3.

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Chart IB-11, US, Wages and Salaries, Private Industries, Monthly, Seasonally Adjusted at Annual Rates, Billions of Dollars 2007-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IB-12 provides monthly real disposable personal income per capita from 1980 to 1989. This is the ultimate measure of wellbeing in receiving income by obtaining the value per inhabitant. The measure cannot adjust for the distribution of income. Real disposable personal income per capita grew rapidly during the expansion after 1983 and continued growing during the rest of the decade.

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Chart IB-12, US, Real Disposable Per Capita Income, Monthly, Seasonally Adjusted at Annual Rates, Billions of Dollars 1980-1989

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IB-13 provides monthly real disposable personal per capita from 2007 to 2013. There was initial recovery from the drop during the global recession followed by stagnation. Real per capita disposable income increased 1.2 percent from $36,580 in chained dollars of 2009 in Oct 2012 to $37,030 in Nov 2012 and 3.1 percent to $38,170 in Dec 2012 for cumulative increase of 4.3 percent from Oct 2012 to Dec 2012. Real per capita disposable income fell 5.2 percent from $38,170 in Dec 2012 to $36,190 in Jan 2013, increasing marginally 0.8 percent to $36,497 in Feb 2013 for cumulative change of minus 0.2 percent from Oct 2012 (data at http://www.bea.gov/iTable/index_nipa.cfm). This increase is shown in a jump in the final segment in Chart II-13 with Nov-Dec 2012, decline in Jan 2013 and recovery in Feb 2013. Real per capita disposable income increased 0.4 percent from $36,497 in Feb 2013 in chained dollars of 2009 to $36,626 in Mar 2013 for cumulative increase of 0.1 percent relative to Oct 2012. Real per capita disposable income increased to $36,734 in May 2013 for gain of 0.2 percent relative to $36,676 in Apr 2013 and 0.4 percent from Oct 2012. Real disposable per capita income eased to $36,668 in Jun 2013 for decrease of 0.2 percent relative to May 2013 and increase of 0.2 percent relative to Oct 2012. Real disposable income per capita increased 0.1 percent from $36,668 in Jun 2013 to $36,707 in Jul 2013 and 0.3 percent relative to $36,580 in Oct 2013. Real per capita disposable income increased to $36,797 in Aug 2013 or 0.2 percent higher than in Jul 2013 and 0.6 percent above Oct 2012. BEA explains as: “Personal income in November and December was boosted by accelerated and special dividend payments to persons and by accelerated bonus payments and other irregular pay in private wages and salaries in anticipation of changes in individual income tax rates. Personal income in December was also boosted by lump-sum social security benefit payments” (page 2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi1212.pdf pages 1-2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0113.pdf). The Bureau of Economic Analysis explains as (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0213.pdf 2-3): “The January estimate of employee contributions for government social insurance reflected the expiration of the “payroll tax holiday,” that increased the social security contribution rate for employees and self-employed workers by 2.0 percentage points, or $114.1 billion at an annual rate. For additional information, see FAQ on “How did the expiration of the payroll tax holiday affect personal income for January 2013?” at www.bea.gov. The January estimate of employee contributions for government social insurance also reflected an increase in the monthly premiums paid by participants in the supplementary medical insurance program, in the hospital insurance provisions of the Patient Protection and Affordable Care Act, and in the social security taxable wage base.”

The increase was provided in the “fiscal cliff” law H.R. 8 American Taxpayer Relief Act of 2012 (http://www.gpo.gov/fdsys/pkg/BILLS-112hr8eas/pdf/BILLS-112hr8eas.pdf).

The BEA explains as follows (page 3 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0313.pdf):

“The February and January changes in disposable personal income (DPI) mainly reflected the effect of special factors in January, such as the expiration of the “payroll tax holiday” and the acceleration of bonuses and personal dividends to November and to December in anticipation of changes in individual tax rates.”

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Chart IB-13, US, Real Disposable Per Capita Income, Monthly, Seasonally Adjusted at Annual Rates, Billions of Dollars 2007-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

IB2 Financial Repression. McKinnon (1973) and Shaw (1974) argue that legal restrictions on financial institutions can be detrimental to economic development. “Financial repression” is the term used in the economic literature for these restrictions (see Pelaez and Pelaez, Globalization and the State, Vol. II (2008b), 81-6). Interest rate ceilings on deposits and loans have been commonly used. The Banking Act of 1933 imposed prohibition of payment of interest on demand deposits and ceilings on interest rates on time deposits. These measures were justified by arguments that the banking panic of the 1930s was caused by competitive rates on bank deposits that led banks to engage in high-risk loans (Friedman, 1970, 18; see Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 74-5). The objective of policy was to prevent unsound loans in banks. Savings and loan institutions complained of unfair competition from commercial banks that led to continuing controls with the objective of directing savings toward residential construction. Friedman (1970, 15) argues that controls were passive during periods when rates implied on demand deposit were zero or lower and when Regulation Q ceilings on time deposits were above market rates on time deposits. The Great Inflation or stagflation of the 1960s and 1970s changed the relevance of Regulation Q.

Most regulatory actions trigger compensatory measures by the private sector that result in outcomes that are different from those intended by regulation (Kydland and Prescott 1977). Banks offered services to their customers and loans at rates lower than market rates to compensate for the prohibition to pay interest on demand deposits (Friedman 1970, 24). The prohibition of interest on demand deposits was eventually lifted in recent times. In the second half of the 1960s, already in the beginning of the Great Inflation (DeLong 1997), market rates rose above the ceilings of Regulation Q because of higher inflation. Nobody desires savings allocated to time or savings deposits that pay less than expected inflation. This is a fact currently with zero interest rates and consumer price inflation of 2.0 percent in the 12 months ending in Feb 2013 (http://www.bls.gov/cpi/) but rising during waves of carry trades from zero interest rates to commodity futures exposures (http://cmpassocregulationblog.blogspot.com/2013/03/recovery-without-hiring-ten-million.html). Funding problems motivated compensatory measures by banks. Money-center banks developed the large certificate of deposit (CD) to accommodate increasing volumes of loan demand by customers. As Friedman (1970, 25) finds:

“Large negotiable CD’s were particularly hard hit by the interest rate ceiling because they are deposits of financially sophisticated individuals and institutions who have many alternatives. As already noted, they declined from a peak of $24 billion in mid-December, 1968, to less than $12 billion in early October, 1969.”

Banks created different liabilities to compensate for the decline in CDs. As Friedman (1970, 25; 1969) explains:

“The most important single replacement was almost surely ‘liabilities of US banks to foreign branches.’ Prevented from paying a market interest rate on liabilities of home offices in the United States (except to foreign official institutions that are exempt from Regulation Q), the major US banks discovered that they could do so by using the Euro-dollar market. Their European branches could accept time deposits, either on book account or as negotiable CD’s at whatever rate was required to attract them and match them on the asset side of their balance sheet with ‘due from head office.’ The head office could substitute the liability ‘due to foreign branches’ for the liability ‘due on CDs.”

Friedman (1970, 26-7) predicted the future:

“The banks have been forced into costly structural readjustments, the European banking system has been given an unnecessary competitive advantage, and London has been artificially strengthened as a financial center at the expense of New York.”

In short, Depression regulation exported the US financial system to London and offshore centers. What is vividly relevant currently from this experience is the argument by Friedman (1970, 27) that the controls affected the most people with lower incomes and wealth who were forced into accepting controlled-rates on their savings that were lower than those that would be obtained under freer markets. As Friedman (1970, 27) argues:

“These are the people who have the fewest alternative ways to invest their limited assets and are least sophisticated about the alternatives.”

Chart IB-14 of the Bureau of Economic Analysis (BEA) provides quarterly savings as percent of disposable income or the US savings rate from 1980 to 2013. There was a long-term downward sloping trend from 12 percent in the early 1980s to 2.0 percent in Jul 2005. The savings rate then rose during the contraction and in the expansion. In 2011 and into 2012 the savings rate declined as consumption is financed with savings in part because of the disincentive or frustration of receiving a few pennies for every $10,000 of deposits in a bank. The savings rate increased in the final segment of Chart IB-14 in 2012 followed by another decline because of the pain of the opportunity cost of zero remuneration for hard-earned savings. Swelling realization of income in Oct-Dec 2012 in anticipation of tax increases in Jan 2012 caused the jump of the savings rate to 8.7 percent in Dec 2012. The BEA explains as: Personal income in November and December was boosted by accelerated and special dividend payments to persons and by accelerated bonus payments and other irregular pay in private wages and salaries in anticipation of changes in individual income tax rates. Personal income in December was also boosted by lump-sum social security benefit payments” (page 2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi1212.pdf). The savings rate then collapsed to 3.6 percent in Jan 2013 in part because of the decline of 5.1 percent in real disposable personal income and to 4.2 percent with increase of real disposable income by 0.9 percent in Feb 2013. The savings rate increased to 4.3 percent in Mar 2013 with increase of real disposable income by 0.4 percent and at 4.5 percent in Apr 2013 with increase of real disposable income by 0.2 percent. The savings rate rose to 4.7 percent in May 2013 with increase of real disposable income by 0.2 percent. The savings rate fell to 4.4 percent in Jun 2013 with decline of real disposable personal income by 0.1 percent. The savings rate increased to 4.5 percent in Jul 2013 with increase of real disposable income by 0.3 percent. In Aug 2013, real disposable income increased 0.3 percent and the savings rate increased to 4.6 percent. The decline of personal income was caused by increasing contributions to government social insurance (page 1 http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0113.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0213.pdf). The objective of monetary policy is to reduce borrowing rates to induce consumption but it has collateral disincentive of reducing savings and misallocating resources away from their best uses. The zero interest rate of monetary policy is a tax on saving. This tax is highly regressive, meaning that it affects the most people with lower income or wealth and retirees. The long-term decline of savings rates in the US has created a dependence on foreign savings to finance the deficits in the federal budget and the balance of payments.

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Chart IB-14, US, Personal Savings as a Percentage of Disposable Personal Income, Quarterly, 1980-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

Chart IB-15 of the US Bureau of Economic Analysis provides personal savings as percent of personal disposable income, or savings ratio, from Jan 2007 to Aug 2013. The uncertainties caused by the global recession resulted in sharp increase in the savings ratio that peaked at 8.0 percent in May 2008 (http://www.bea.gov/iTable/index_nipa.cfm). The second peak occurred at 8.1 percent in May 2009. There was another rising trend until 5.9 percent in Jun 2010 and then steady downward trend until 4.8 percent in Nov 2011. This was followed by an upward trend with 5.6 percent in Jun 2012 but decline to 4.9 percent in Aug 2012 followed by jump to 8.7 percent in Dec 2012. Swelling realization of income in Oct-Dec 2012 in anticipation of tax increases in Jan 2013 caused the jump of the savings rate to 8.7 percent in Dec 2012. The BEA explains as: Personal income in November and December was boosted by accelerated and special dividend payments to persons and by accelerated bonus payments and other irregular pay in private wages and salaries in anticipation of changes in individual income tax rates. Personal income in December was also boosted by lump-sum social security benefit payments” (page 2 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi1212.pdf). There was a reverse effect in Jan 2013 with decline of the savings rate to 3.6 percent. Real disposable personal income fell 5.1 percent and real disposable per capita income fell from $38,170 in Dec 2012 to $36,190 in Jan 2013 or by 5.2 percent, which is explained by the Bureau of Economic Analysis as follows (page 3 http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0213.pdf):

“Contributions for government social insurance -- a subtraction in calculating personal income --increased $6.4 billion in February, compared with an increase of $126.8 billion in January. The

January estimate reflected increases in both employer and employee contributions forgovernment social insurance. The January estimate of employee contributions for government social insurance reflected the expiration of the “payroll tax holiday,” that increased the social security contribution rate for employees and self-employed workers by 2.0 percentage points, or $114.1 billion at an annual rate. For additional information, see FAQ on “How did the expiration of the payroll tax holiday affect personal income for January 2013?” at www.bea.gov. The January estimate of employee contributions for government social insurance also reflected an increase in the monthly premiums paid by participants in the supplementary medical insurance program, in the hospital insurance provisions of the Patient Protection and Affordable Care Act, and in the social security taxable wage base; together, these changes added $12.9 billion to January. Employer contributions were boosted $5.9 billion in January, which reflected increases in the social security taxable wage base (from $110,100 to $113,700), in the tax rates paid by employers to state unemployment insurance, and in employer contributions for the federal unemployment tax and for pension guaranty. The total contribution of special factors to the January change in contributions for government social insurance was $132.9billion.”

The savings rate then collapsed to 3.6 percent in Jan 2013 in part because of the decline of 5.1 percent in real disposable personal income and to 4.2 percent with increase of real disposable income by 0.9 percent in Feb 2013. The savings rate increased to 4.3 percent in Mar 2013 with increase of real disposable income by 0.4 percent and at 4.5 percent in Apr 2013 with increase of real disposable income by 0.2 percent. The savings rate rose to 4.7 percent in May 2013 with increase of real disposable income by 0.2 percent. The savings rate fell to 4.4 percent in Jun 2013 with decline of real disposable personal income by 0.1 percent. The savings rate increased to 4.5 percent in Jul 2013 with increase of real disposable income by 0.2 percent. The savings rate increased to 4.6 percent in Aug 2013 with increase of real disposable income by 0.3 percent. The decline of personal income was caused by increasing contributions to government social insurance (page 1 http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0113.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0213.pdf). Permanent manipulation of the entire spectrum of interest rates with monetary policy measures distorts the compass of resource allocation with inferior outcomes of future growth, employment and prosperity and dubious redistribution of income and wealth worsening the most the personal welfare of people without vast capital and financial relations to manage their savings.

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Chart IB-15, US, Personal Savings as a Percentage of Disposable Income, Monthly 2007-2013

Source: US Bureau of Economic Analysis

http://www.bea.gov/iTable/index_nipa.cfm

IIA Destruction of Household Wealth for Inflation Adjusted Loss. The Flow of Funds Accounts of the United States provided by the Board of Governors of the Federal Reserve System (http://www.federalreserve.gov/releases/z1/Current/ http://www.federalreserve.gov/apps/fof/) is rich in valuable information. Table IIA-1, updated in this blog for every new quarterly release, shows the balance sheet of US households combined with nonprofit organizations in 2007, 2011, 2012 and IIQ2013. The data show the strong shock to US wealth during the contraction. Assets fell from $82.3 trillion in 2007 to $78.3 trillion in 2011 even after nine consecutive quarters of growth beginning in IIIQ2009 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html http://wwwdev.nber.org/cycles/cyclesmain.html), for decline of $4.0 trillion or 4.9 percent. Assets stood at $84.2 trillion in 2012 for gain of $1.9 trillion relative to $82.3 trillion in 2007 or increase by 2.4 percent. Assets increased to $88.4 trillion in IIQ2013 by $6.1 trillion relative to 2007 or 7.4 percent. Liabilities declined from $14.4 trillion in 2007 to $13.6 trillion in 2011 or by $802.8 billion equivalent to decline by 5.6 percent. Liabilities declined $773.1 billion or 5.4 percent from 2007 to 2012 and increased 0.2 percent from 2011 to 2012. Liabilities fell from $14.4 trillion in 2007 to $13.5 trillion in IIQ2013, by $822.7 billion or decline of 5.7 percent. Net worth shrank from $67.9 trillion in 2007 to $64.7 trillion in 2011, that is, $3.2 trillion equivalent to decline of 4.7 percent. Net worth increased from $67,918.6 billion in 2007 to $74,820.9 billion in IIQ2013 by $6,902.3 billion or 10.2 percent. The US consumer price index for all items increased from 210.036 in Dec 2007 to 233.504 in Jun 2013 (http://www.bls.gov/cpi/data.htm) or 11.2 percent. Net worth adjusted by CPI inflation fell 0.9 percent from 2007 to IIQ2013. There was brutal decline from 2007 to IIQ2013 of $2.325 trillion in real estate assets or by 9.9 percent. The National Association of Realtors estimated that the gains in net worth in homes by Americans were about $4 trillion between 2000 and 2005 (quoted in Pelaez and Pelaez, The Global Recession Risk (2007), 224-5).

Table IIA-1, US, Balance Sheet of Households and Nonprofit Organizations, Billions of Dollars Outstanding End of Period, NSA

 

2007

2011

2012

IIQ2013

Assets

82,289.6

78,265.0

84,238.9

88,369.4

Nonfinancial

28,271.6

23,251.3

24,934.3

26,516.1

  Real Estate

23,448.6

18,096.7

19,638.0

21,123.5

  Durable Goods

  4,476.0

4,726.4

  4,848.0

4,937.3

Financial

54,018.1

55,013.7

59,304.6

61,853.3

  Deposits

  6,158.2

8,572.4

  8,997.8

9,025.5

  Credit   Market

  5,039.8

5,467.4

  5,575.2

5,505.7

  Mutual Fund Shares

   4,687.9

4,452.3

   5,315.9

5,864.7

  Equities Corporate

   10,113.4

9,045.8

   10,322.0

11,461.7

  Equity Noncorporate

   9,101.4

7,528.4

   8,186.3

8,373.8

  Pension

13,269.2

17,115.2

18,075.1

18,736.6

Liabilities

14,371.1

13,568.3

13,598.0

13,548.4

  Home Mortgages

9,978.7

9,677.8

  9,436.3

9,344.8

  Consumer Credit

   2,616.6

2,757.2

   2,924.3

2,966.2

Net Worth

67,918.6

64,696.7

70,640.8

74,820.9

Net Worth = Assets – Liabilities

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

The explanation of the sharp contraction of household wealth can probably be found in the origins of the financial crisis and global recession. Let V(T) represent the value of the firm’s equity at time T and B stand for the promised debt of the firm to bondholders and assume that corporate management, elected by equity owners, is acting on the interests of equity owners. Robert C. Merton (1974, 453) states:

“On the maturity date T, the firm must either pay the promised payment of B to the debtholders or else the current equity will be valueless. Clearly, if at time T, V(T) > B, the firm should pay the bondholders because the value of equity will be V(T) – B > 0 whereas if they do not, the value of equity would be zero. If V(T) ≤ B, then the firm will not make the payment and default the firm to the bondholders because otherwise the equity holders would have to pay in additional money and the (formal) value of equity prior to such payments would be (V(T)- B) < 0.”

Pelaez and Pelaez (The Global Recession Risk (2007), 208-9) apply this analysis to the US housing market in 2005-2006 concluding:

“The house market [in 2006] is probably operating with low historical levels of individual equity. There is an application of structural models [Duffie and Singleton 2003] to the individual decisions on whether or not to continue paying a mortgage. The costs of sale would include realtor and legal fees. There could be a point where the expected net sale value of the real estate may be just lower than the value of the mortgage. At that point, there would be an incentive to default. The default vulnerability of securitization is unknown.”

There are multiple important determinants of the interest rate: “aggregate wealth, the distribution of wealth among investors, expected rate of return on physical investment, taxes, government policy and inflation” (Ingersoll 1987, 405). Aggregate wealth is a major driver of interest rates (Ibid, 406). Unconventional monetary policy, with zero fed funds rates and flattening of long-term yields by quantitative easing, causes uncontrollable effects on risk taking that can have profound undesirable effects on financial stability. Excessively aggressive and exotic monetary policy is the main culprit and not the inadequacy of financial management and risk controls.

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 restatement: “The basic idea is simply that individuals live for many years and that therefore the appropriate constraint for consumption decisions 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 (1)

Equation (1) shows that as r goes to zero, r →0, W grows without bound, W→∞.

Lowering the interest rate near the zero bound in 2003-2004 caused the illusion of permanent increases in wealth or net worth in the balance sheets of borrowers and also of lending institutions, securitized banking and every financial institution and investor in the world. The discipline of calculating risks and returns was seriously impaired. The objective of monetary policy was to encourage borrowing, consumption and investment but the exaggerated stimulus resulted in a financial crisis of major proportions as the securitization that had worked for a long period was shocked with policy-induced excessive risk, imprudent credit, high leverage and low liquidity by the incentive to finance everything overnight at close to zero interest rates, from adjustable rate mortgages (ARMS) to asset-backed commercial paper of structured investment vehicles (SIV).

The consequences of inflating liquidity and net worth of borrowers were a global hunt for yields to protect own investments and money under management from the zero interest rates and unattractive long-term yields of Treasuries and other securities. Monetary policy distorted the calculations of risks and returns by households, business and government by providing central bank cheap money. Short-term zero interest rates encourage financing of everything with short-dated funds, explaining the SIVs created off-balance sheet to issue short-term commercial paper to purchase default-prone mortgages that were financed in overnight or short-dated sale and repurchase agreements (Pelaez and Pelaez, Financial Regulation after the Global Recession, 50-1, Regulation of Banks and Finance, 59-60, Globalization and the State Vol. I, 89-92, Globalization and the State Vol. II, 198-9, Government Intervention in Globalization, 62-3, International Financial Architecture, 144-9). ARMS were created to lower monthly mortgage payments by benefitting from lower short-dated reference rates. Financial institutions economized in liquidity that was penalized with near zero interest rates. There was no perception of risk because the monetary authority guaranteed a minimum or floor price of all assets by maintaining low interest rates forever or equivalent to writing an illusory put option on wealth. Subprime mortgages were part of the put on wealth by an illusory put on house prices. The housing subsidy of $221 billion per year created the impression of ever increasing house prices. The suspension of auctions of 30-year Treasuries was designed to increase demand for mortgage-backed securities, lowering their yield, which was equivalent to lowering the costs of housing finance and refinancing. Fannie and Freddie purchased or guaranteed $1.6 trillion of nonprime mortgages and worked with leverage of 75:1 under Congress-provided charters and lax oversight. The combination of these policies resulted in high risks because of the put option on wealth by near zero interest rates, excessive leverage because of cheap rates, low liquidity because of the penalty in the form of low interest rates and unsound credit decisions because the put option on wealth by monetary policy created the illusion that nothing could ever go wrong, causing the credit/dollar crisis and global recession (Pelaez and Pelaez, Financial Regulation after the Global Recession, 157-66, Regulation of Banks, and Finance, 217-27, International Financial Architecture, 15-18, The Global Recession Risk, 221-5, Globalization and the State Vol. II, 197-213, Government Intervention in Globalization, 182-4).

There are significant elements of the theory of bank financial fragility of Diamond and Dybvig (1983) and Diamond and Rajan (2000, 2001a, 2001b) that help to explain the financial fragility of banks during the credit/dollar crisis (see also Diamond 2007). The theory of Diamond and Dybvig (1983) as exposed by Diamond (2007) is that banks funding with demand deposits have a mismatch of liquidity (see Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 58-66). A run occurs when too many depositors attempt to withdraw cash at the same time. All that is needed is an expectation of failure of the bank. Three important functions of banks are providing evaluation, monitoring and liquidity transformation. Banks invest in human capital to evaluate projects of borrowers in deciding if they merit credit. The evaluation function reduces adverse selection or financing projects with low present value. Banks also provide important monitoring services of following the implementation of projects, avoiding moral hazard that funds be used for, say, real estate speculation instead of the original project of factory construction. The transformation function of banks involves both assets and liabilities of bank balance sheets. Banks convert an illiquid asset or loan for a project with cash flows in the distant future into a liquid liability in the form of demand deposits that can be withdrawn immediately.

In the theory of banking of Diamond and Rajan (2000, 2001a, 2001b), the bank creates liquidity by tying human assets to capital. The collection skills of the relationship banker convert an illiquid project of an entrepreneur into liquid demand deposits that are immediately available for withdrawal. The deposit/capital structure is fragile because of the threat of bank runs. In these days of online banking, the run on Washington Mutual was through withdrawals online. A bank run can be triggered by the decline of the value of bank assets below the value of demand deposits.

Pelaez and Pelaez (Regulation of Banks and Finance 2009b, 60, 64-5) find immediate application of the theories of banking of Diamond, Dybvig and Rajan to the credit/dollar crisis after 2007. It is a credit crisis because the main issue was the deterioration of the credit portfolios of securitized banks as a result of default of subprime mortgages. It is a dollar crisis because of the weakening dollar resulting from relatively low interest rate policies of the US. It caused systemic effects that converted into a global recession not only because of the huge weight of the US economy in the world economy but also because the credit crisis transferred to the UK and Europe. Management skills or human capital of banks are illustrated by the financial engineering of complex products. The increasing importance of human relative to inanimate capital (Rajan and Zingales 2000) is revolutionizing the theory of the firm (Zingales 2000) and corporate governance (Rajan and Zingales 2001). Finance is one of the most important examples of this transformation. Profits were derived from the charter in the original banking institution. Pricing and structuring financial instruments was revolutionized with option pricing formulas developed by Black and Scholes (1973) and Merton (1973, 1974, 1998) that permitted the development of complex products with fair pricing. The successful financial company must attract and retain finance professionals who have invested in human capital, which is a sunk cost to them and not of the institution where they work.

The complex financial products created for securitized banking with high investments in human capital are based on houses, which are as illiquid as the projects of entrepreneurs in the theory of banking. The liquidity fragility of the securitized bank is equivalent to that of the commercial bank in the theory of banking (Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 65). Banks created off-balance sheet structured investment vehicles (SIV) that issued commercial paper receiving AAA rating because of letters of liquidity guarantee by the banks. The commercial paper was converted into liquidity by its use as collateral in SRPs at the lowest rates and minimal haircuts because of the AAA rating of the guarantor bank. In the theory of banking, default can be triggered when the value of assets is perceived as lower than the value of the deposits. Commercial paper issued by SIVs, securitized mortgages and derivatives all obtained SRP liquidity on the basis of illiquid home mortgage loans at the bottom of the pyramid. The run on the securitized bank had a clear origin (Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 65):

“The increasing default of mortgages resulted in an increase in counterparty risk. Banks were hit by the liquidity demands of their counterparties. The liquidity shock extended to many segments of the financial markets—interbank loans, asset-backed commercial paper (ABCP), high-yield bonds and many others—when counterparties preferred lower returns of highly liquid safe havens, such as Treasury securities, than the risk of having to sell the collateral in SRPs at deep discounts or holding an illiquid asset. The price of an illiquid asset is near zero.”

Gorton and Metrick (2010H, 507) provide a revealing quote to the work in 1908 of Edwin R. A. Seligman, professor of political economy at Columbia University, founding member of the American Economic Association and one of its presidents and successful advocate of progressive income taxation. The intention of the quote is to bring forth the important argument that financial crises are explained in terms of “confidence” but as Professor Seligman states in reference to historical banking crises in the US the important task is to explain what caused the lack of confidence. It is instructive to repeat the more extended quote of Seligman (1908, xi) on the explanations of banking crises:

“The current explanations may be divided into two categories. Of these the first includes what might be termed the superficial theories. Thus it is commonly stated that the outbreak of a crisis is due to lack of confidence,--as if the lack of confidence was not in itself the very thing which needs to be explained. Of still slighter value is the attempt to associate a crisis with some particular governmental policy, or with some action of a country’s executive. Such puerile interpretations have commonly been confined to countries like the United States, where the political passions of democracy have had the fullest way. Thus the crisis of 1893 was ascribed by the Republicans to the impending Democratic tariff of 1894; and the crisis of 1907 has by some been termed the ‘[Theodore] Roosevelt panic,” utterly oblivious of the fact that from the time of President Jackson, who was held responsible for the troubles of 1837, every successive crisis had had its presidential scapegoat, and has been followed by a political revulsion. Opposed to these popular, but wholly unfounded interpretations, is the second class of explanations, which seek to burrow beneath the surface and to discover the more occult and fundamental causes of the periodicity of crises.”

Scholars ignore superficial explanations in the effort to seek good and truth. The problem of economic analysis of the credit/dollar crisis is the lack of a structural model with which to attempt empirical determination of causes (Gorton and Metrick 2010SB). There would still be doubts even with a well-specified structural model because samples of economic events do not typically permit separating causes and effects. There is also confusion is separating the why of the crisis and how it started and propagated, all of which are extremely important.

In true heritage of the principles of Seligman (1908), Gorton (2009EFM) discovers a prime causal driver of the credit/dollar crisis. The objective of subprime and Alt-A mortgages was to facilitate loans to populations with modest means so that they could acquire a home. These borrowers would not receive credit because of (1) lack of funds for down payments; (2) low credit rating and information; (3) lack of information on income; and (4) errors or lack of other information. Subprime mortgage “engineering” was based on the belief that both lender and borrower could benefit from increases in house prices over the short run. The initial mortgage would be refinanced in two or three years depending on the increase of the price of the house. According to Gorton (2009EFM, 13, 16):

“The outstanding amounts of Subprime and Alt-A [mortgages] combined amounted to about one quarter of the $6 trillion mortgage market in 2004-2007Q1. Over the period 2000-2007, the outstanding amount of agency mortgages doubled, but subprime grew 800%! Issuance in 2005 and 2006 of Subprime and Alt-A mortgages was almost 30% of the mortgage market. Since 2000 the Subprime and Alt-A segments of the market grew at the expense of the Agency (i.e., the government sponsored entities of Fannie Mae and Freddie Mac) share, which fell from almost 80% (by outstanding or issuance) to about half by issuance and 67% by outstanding amount. The lender’s option to rollover the mortgage after an initial period is implicit in the subprime mortgage. The key design features of a subprime mortgage are: (1) it is short term, making refinancing important; (2) there is a step-up mortgage rate that applies at the end of the first period, creating a strong incentive to refinance; and (3) there is a prepayment penalty, creating an incentive not to refinance early.”

The prime objective of successive administrations in the US during the past 20 years and actually since the times of Roosevelt in the 1930s has been to provide “affordable” financing for the “American dream” of home ownership. The US housing finance system is mixed with public, public/private and purely private entities. The Federal Home Loan Bank (FHLB) system was established by Congress in 1932 that also created the Federal Housing Administration in 1934 with the objective of insuring homes against default. In 1938, the government created the Federal National Mortgage Association, or Fannie Mae, to foster a market for FHA-insured mortgages. Government-insured mortgages were transferred from Fannie Mae to the Government National Mortgage Association, or Ginnie Mae, to permit Fannie Mae to become a publicly-owned company. Securitization of mortgages began in 1970 with the government charter to the Federal Home Loan Mortgage Corporation, or Freddie Mac, with the objective of bundling mortgages created by thrift institutions that would be marketed as bonds with guarantees by Freddie Mac (see Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 42-8). In the third quarter of 2008, total mortgages in the US were $12,057 billion of which 43.5 percent, or $5423 billion, were retained or guaranteed by Fannie Mae and Freddie Mac (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 45). In 1990, Fannie Mae and Freddie Mac had a share of only 25.4 percent of total mortgages in the US. Mortgages in the US increased from $6922 billion in 2002 to $12,088 billion in 2007, or by 74.6 percent, while the retained or guaranteed portfolio of Fannie and Freddie rose from $3180 billion in 2002 to $4934 billion in 2007, or by 55.2 percent.

According to Pinto (2008) in testimony to Congress:

“There are approximately 25 million subprime and Alt-A loans outstanding, with an unpaid principal amount of over $4.5 trillion, about half of them held or guaranteed by Fannie and Freddie. Their high risk activities were allowed to operate at 75:1 leverage ratio. While they may deny it, there can be no doubt that Fannie and Freddie now own or guarantee $1.6 trillion in subprime, Alt-A and other default prone loans and securities. This comprises over 1/3 of their risk portfolios and amounts to 34% of all the subprime loans and 60% of all Alt-A loans outstanding. These 10.5 million unsustainable, nonprime loans are experiencing a default rate 8 times the level of the GSEs’ 20 million traditional quality loans. The GSEs will be responsible for a large percentage of an estimated 8.8 million foreclosures expected over the next 4 years, accounting for the failure of about 1 in 6 home mortgages. Fannie and Freddie have subprimed America.”

In perceptive analysis of growth and macroeconomics in the past six decades, Rajan (2012FA) argues that “the West can’t borrow and spend its way to recovery.” The Keynesian paradigm is not applicable in current conditions. Advanced economies in the West could be divided into those that reformed regulatory structures to encourage productivity and others that retained older structures. In the period from 1950 to 2000, Cobet and Wilson (2002) find that US productivity, measured as output/hour, grew at the average yearly rate of 2.9 percent while Japan grew at 6.3 percent and Germany at 4.7 percent (see Pelaez and Pelaez, The Global Recession Risk (2007), 135-44). In the period from 1995 to 2000, output/hour grew at the average yearly rate of 4.6 percent in the US but at lower rates of 3.9 percent in Japan and 2.6 percent in the US. Rajan (2012FA) argues that the differential in productivity growth was accomplished by deregulation in the US at the end of the 1970s and during the 1980s. In contrast, Europe did not engage in reform with the exception of Germany in the early 2000s that empowered the German economy with significant productivity advantage. At the same time, technology and globalization increased relative remunerations in highly-skilled, educated workers relative to those without skills for the new economy. It was then politically appealing to improve the fortunes of those left behind by the technological revolution by means of increasing cheap credit. As Rajan (2012FA) argues:

“In 1992, Congress passed the Federal Housing Enterprises Financial Safety and Soundness Act, partly to gain more control over Fannie Mae and Freddie Mac, the giant private mortgage agencies, and partly to promote affordable homeownership for low-income groups. Such policies helped money flow to lower-middle-class households and raised their spending—so much so that consumption inequality rose much less than income inequality in the years before the crisis. These policies were also politically popular. Unlike when it came to an expansion in government welfare transfers, few groups opposed expanding credit to the lower-middle class—not the politicians who wanted more growth and happy constituents, not the bankers and brokers who profited from the mortgage fees, not the borrowers who could now buy their dream houses with virtually no money down, and not the laissez-faire bank regulators who thought they could pick up the pieces if the housing market collapsed. The Federal Reserve abetted these shortsighted policies. In 2001, in response to the dot-com bust, the Fed cut short-term interest rates to the bone. Even though the overstretched corporations that were meant to be stimulated were not interested in investing, artificially low interest rates acted as a tremendous subsidy to the parts of the economy that relied on debt, such as housing and finance. This led to an expansion in housing construction (and related services, such as real estate brokerage and mortgage lending), which created jobs, especially for the unskilled. Progressive economists applauded this process, arguing that the housing boom would lift the economy out of the doldrums. But the Fed-supported bubble proved unsustainable. Many construction workers have lost their jobs and are now in deeper trouble than before, having also borrowed to buy unaffordable houses. Bankers obviously deserve a large share of the blame for the crisis. Some of the financial sector’s activities were clearly predatory, if not outright criminal. But the role that the politically induced expansion of credit played cannot be ignored; it is the main reason the usual checks and balances on financial risk taking broke down.”

In fact, Raghuram G. Rajan (2005) anticipated low liquidity in financial markets resulting from low interest rates before the financial crisis that caused distortions of risk/return decisions provoking the credit/dollar crisis and global recession from IVQ2007 to IIQ2009. Near zero interest rates of unconventional monetary policy induced excessive risks and low liquidity in financial decisions that were critical as a cause of the credit/dollar crisis after 2007. Rajan (2012FA) argues that it is not feasible to return to the employment and income levels before the credit/dollar crisis because of the bloated construction sector, financial system and government budgets.

Table IIA-2 shows the euphoria of prices during the housing boom and the subsequent decline. House prices rose 94.1 percent in the 10-city composite of the Case-Shiller home price index and 78.8 percent in the 20-city composite between Jul 2000 and Jul 2005. Prices rose around 100 percent from Jul 2000 to Jul 2006, increasing 107.5 percent for the 10-city composite and 91.6 percent for the 20-city composite. House prices rose 49.1 percent between Jul 2003 and Jul 2005 for the 10-city composite and 44.4 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) 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 Jul 2003 and Jul 2006, the 10-city index gained 49.1 percent and the 20-city index increased 44.4 percent. House prices have fallen from Jul 2006 to Jul 2013 by 22.0 percent for the 10-city composite and 21.3 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 Jul 2013, house prices increased 12.3 percent in the 10-city composite and increased 12.4 percent in the 20-city composite. Table IIA-2 also shows that house prices increased 61.9 percent between Jul 2000 and Jul 2013 for the 10-city composite and increased 50.8 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 22.0 percent from the peak in Jul 2006 to Jul 2013 and the 20-city composite fell 21.3 percent from the peak in Jul 2006 to Jul 2013. The final part of Table IIA-2 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 2012 for the 10-city composite was 3.3 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 2012 was 2.8 percent while the rate of the 20-city composite was 2.3 percent.

Table IIA-2, US, Percentage Changes of Standard & Poor’s Case-Shiller Home Price Indices, Not Seasonally Adjusted, ∆%

 

10-City Composite

20-City Composite

∆% Jul 2000 to Jul 2003

39.1

32.7

∆% Jul 2000 to Jul 2005

94.1

78.8

∆% Jul 2003 to Jul 2005

39.6

34.7

∆% Jul 2000 to Jul 2006

107.5

91.6

∆% Jul 2003 to Jul 2006

49.1

44.4

∆% Jul 2005 to Jul 2013

-16.6

-15.7

∆% Jul 2006 to Jul 2013

-22.0

-21.3

∆% Jul 2009 to Jul 2013

13.2

12.6

∆% Jul 2010 to Jul 2013

8.8

9.1

∆% Jul 2011 to Jul 2013

12.9

13.7

∆% Jul 2012 to Jul 2013

12.3

12.4

∆% Jul 2000 to Jul 2013

61.9

50.8

∆% Peak Jun 2006 Jul 2013

-22.0

 

∆% Peak Jul 2006 Jul 2013

 

-21.3

Average ∆% Dec 1987-Dec 2012

3.3

NA

Average ∆% Dec 1987-Dec 2000

3.8

NA

Average ∆% Dec 1992-Dec 2000

5.0

NA

Average ∆% Dec 2000-Dec 2012

2.8

2.3

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

Monthly house prices increased sharply from Feb to Jul 2013 for both the 10- and 20-city composites. In Jul 2013, the seasonally adjusted 10-city composite increased 0.7 percent and the 20-city 0.6 percent while the 10-city not seasonally adjusted increased 1.9 percent and the 20-city 1.8 percent. House prices increased at high monthly percentage rates from Feb to Jul 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 IIA-3. 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 Jul 2013. 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 IIA-3, 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

Jul 2013

0.7

1.9

0.6

1.8

Jun

1.0

2.2

0.9

2.2

May

1.0

2.5

0.9

2.5

Apr

1.8

2.6

1.7

2.6

Mar

1.9

1.3

1.9

1.4

Feb

1.3

0.3

1.3

0.3

Jan

0.8

0.0

0.9

0.1

Dec 2012

1.0

0.2

1.0

0.2

Nov

0.6

-0.2

0.7

-0.1

Oct

0.7

-0.2

0.7

-0.1

Sep

0.4

0.3

0.5

0.3

Aug

0.4

0.8

0.5

0.8

Jul

0.3

1.5

0.3

1.6

Jun

0.9

2.1

1.0

2.3

May

0.8

2.2

0.8

2.4

Apr

0.6

1.4

0.6

1.4

Mar

0.5

-0.1

0.6

0.0

Feb

0.1

-0.9

0.1

-0.8

Jan

-0.3

-1.1

-0.1

-1.0

Dec 2011

-0.5

-1.2

-0.4

-1.2

Nov

-0.6

-1.4

-0.5

-1.3

Oct

-0.5

-1.3

-0.5

-1.3

Sep

-0.4

-0.6

-0.5

-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

-0.3

1.0

-0.4

1.0

Apr

-0.1

0.6

-0.1

0.6

Mar

-0.4

-1.0

-0.4

-1.0

Feb

-0.3

-1.3

-0.3

-1.2

Jan

-0.3

-1.1

-0.3

-1.1

Dec 2010

-0.2

-0.9

-0.2

-1.0

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

Table IIA-4 summarizes the brutal drops in assets and net worth of US households and nonprofit organizations from 2007 to 2008 and 2009. Total assets fell $10.8 trillion or 13.2 percent from 2007 to 2008 and $9.4 trillion or 11.4 percent to 2009. Net worth fell $10.7 trillion from 2007 to 2008 or 15.8 percent and $9.6 trillion to 2009 or 14.2 percent. Subsidies to housing prolonged over decades together with interest rates at 1.0 percent from Jun 2003 to Jun 2004 inflated valuations of real estate and risk financial assets such as equities. The increase of fed funds rates by 25 basis points until 5.25 percent in Jun 2006 reversed carry trades through exotic vehicles such as subprime adjustable rate mortgages (ARM) and world financial markets. Short-term zero interest rates encourage financing of everything with short-dated funds, explaining the SIVs created off-balance sheet to issue short-term commercial paper to purchase default-prone mortgages that were financed in overnight or short-dated sale and repurchase agreements (Pelaez and Pelaez, Financial Regulation after the Global Recession, 50-1, Regulation of Banks and Finance, 59-60, Globalization and the State Vol. I, 89-92, Globalization and the State Vol. II, 198-9, Government Intervention in Globalization, 62-3, International Financial Architecture, 144-9).

Table IIA-4, Difference of Balance Sheet of Households and Nonprofit Organizations, Billions of Dollars from 2007 to 2008 and 2009

 

2007

2008

Change to 2008

2009

Change to 2009

A

82,289.6

71,448.5

-10,841.1

72,931.6

-9,358.0

Non
FIN

28,271.6

24,831.9

-3,439.7

23,657.3

-4,614.3

RE

23,448.6

19,879.5

-3,569.1

18,679.7

-4,768.9

FIN

54,918.1

46,616.5

-8,301.6

49,274.3

-5,643.8

LIAB

14,371.1

14,234.4

-136.7

14,011.7

-359.4

NW

67,918.6

57,214.1

-10,704.5

58,290.0

-9,628.6

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

The apparent improvement in Table IIA-4A is mostly because of increases in valuations of risk financial assets by the carry trade from zero interest rates to leveraged exposures in risk financial assets such as stocks, high-yield bonds, emerging markets, commodities and so on. Zero interest rates also act to increase net worth by reducing debt or liabilities. The net worth of households has become an instrument of unconventional monetary policy by zero interest rates in the theory that increases in net worth increase consumption that accounts for 68.6 percent of GDP in IIQ2013 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html), generating demand to increase aggregate economic activity and employment. There are neglected and counterproductive risks in unconventional monetary policy. Between 2007 and IIQ2013, real estate fell in value by $2325.1 billion and financial assets increased $7835.2 billion for net gain of real estate and financial assets of $5510.1billion, explaining most of the increase in net worth of $6902.3 billion obtained by adding the decrease in liabilities of $822.7 billion to the increase of assets of $6079.8 billion. Net worth increased from $67,918.6 billion in 2007 to $74,820.9 billion in IIQ2013 by $6902.3 billion or 10.2 percent. The US consumer price index for all items increased from 210.036 in Dec 2007 to 233.504 in Jun 2013 (http://www.bls.gov/cpi/data.htm) or 11.2 percent. Net worth adjusted by CPI inflation fell 0.9 percent from 2007 to IIQ2013. There are multiple complaints that unconventional monetary policy concentrates income on wealthier individuals because of their holdings of financial assets while the middle class has gained less because of fewer holdings of financial assets and higher share of real estate in family wealth. There is nothing new in these arguments. Interest rate ceilings on deposits and loans have been commonly used. The Banking Act of 1933 imposed prohibition of payment of interest on demand deposits and ceilings on interest rates on time deposits. These measures were justified by arguments that the banking panic of the 1930s was caused by competitive rates on bank deposits that led banks to engage in high-risk loans (Friedman, 1970, 18; see Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 74-5). The objective of policy was to prevent unsound loans in banks. Savings and loan institutions complained of unfair competition from commercial banks that led to continuing controls with the objective of directing savings toward residential construction. Friedman (1970, 15) argues that controls were passive during periods when rates implied on demand deposit were zero or lower and when Regulation Q ceilings on time deposits were above market rates on time deposits. The Great Inflation or stagflation of the 1960s and 1970s changed the relevance of Regulation Q. Friedman (1970, 26-7) predicted the future:

“The banks have been forced into costly structural readjustments, the European banking system has been given an unnecessary competitive advantage, and London has been artificially strengthened as a financial center at the expense of New York.”

In short, Depression regulation exported the US financial system to London and offshore centers. What is vividly relevant currently from this experience is the argument by Friedman (1970, 27) that the controls affected the most people with lower incomes and wealth who were forced into accepting controlled-rates on their savings that were lower than those that would be obtained under freer markets. As Friedman (1970, 27) argues:

“These are the people who have the fewest alternative ways to invest their limited assets and are least sophisticated about the alternatives.” US economic growth has been at only 2.2 percent on average in the cyclical expansion in the 16 quarters from IIIQ2009 to IIQ2013. 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 http://bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_adv.pdf http://bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf) and the second estimate of GDP for IIQ2013 (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.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/2013/09/increasing-interest-rate-risk.html). The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.7 percent and at 7.8 percent from IQ1983 to IVQ1983 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). As a result, there are 28.3 million unemployed or underemployed in the United States for an effective unemployment rate of 17.4 percent (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html). The US missed the opportunity to recover employment as in past cyclical expansions from contractions.

Table IIA-4A, US, Difference of Balance Sheet of Households and Nonprofit Organizations Billions of Dollars from 2007 to 2011 and 2012

 

Value 2007

Change to 2011

Change to 2012

Change to IIQ2013

Assets

82,289.6

-4,0246

1,949.3

6,079.8

Nonfinancial

28,271.6

-5,020.3

-3,337.3

-1,755.5

Real Estate

23,448.6

-5,351.9

-3,810.6

-2,325.1

Financial

54,018.1

995.6

5,286.5

7,835.2

Liabilities

14,371.1

-802.8

-773.1

-822.7

Net Worth

67,918.6

-3,221.9

2,722.2

6,902.3

Net Worth = Assets – Liabilities

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

The comparison of net worth of households and nonprofit organizations in the entire economic cycle from IQ1980 (and from IVQ1979) to IVQ1985 and from IVQ2007 to IQ2012 is provided in Table IB-4. The data reveal the following facts for the cycles in the 1980s:

  • IVQ1979 to IVQ1985. Net worth increased 68.2 percent from IVQ1979 to IVQ1985, the all items CPI index increased 42.5 percent from 76.7 in Dec 1979 to 109.3 in Dec 1985 and real net worth increased 18.0 percent.
  • IQ1980 to IVQ1985. Net worth increased 64.6 percent, the all items CPI index increased 36.5 percent from 80.1 in Mar 1980 to 109.3 in Dec 1985 and real net worth increased 20.6 percent.
  • IVQ1979 to IIIQ1986. Net worth increased 79.4 percent, the all items CPI index increased 43.7 percent from 76.7 in Dec 1979 to 110.2 in Sep 1986 and real net worth increased 24.9 percent.
  • IQ1980 to IIIQ1986. Net worth increased 75.5 percent, the all items CPI index increased 37.6 percent from 80.1 in Mar 1980 to 110.2 in Sep 1986 and real net worth increased 27.6 percent.

There is disastrous performance in the current economic cycle:

  • IVQ2007 to IIQ2013. Net worth increased 10.2 percent, the all items CPI increased 11.2 percent from 210.036 in Dec 2007 to 233.504 in Jun 2013 and real or inflation adjusted net worth fell 0.9 percent.

The explanation is partly in the sharp decline of wealth of households and nonprofit organizations and partly in the mediocre growth rates of the cyclical expansion beginning in IIIQ2009. US economic growth has been at only 2.2 percent on average in the cyclical expansion in the 16 quarters from IIIQ2009 to IIQ2013. 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 http://bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_adv.pdf http://bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf) and the second estimate of GDP for IIQ2013 (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.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/2013/09/increasing-interest-rate-risk.html). The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.7 percent and at 7.8 percent from IQ1983 to IVQ1983 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). As a result, there are 28.3 million unemployed or underemployed in the United States for an effective unemployment rate of 17.4 percent (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html).

Table IIA-5, Net Worth of Households and Nonprofit Organizations in Billions of Dollars, IVQ1979 to IVQ1985 and IVQ2007 to IVQ2012

Period IQ1980 to IVQ1985

 

Net Worth of Households and Nonprofit Organizations USD Millions

 

IVQ1979

IQ1980

9,021.4

9,220.7

IVQ1985

III1986

15,174.7

16,182.9

∆ USD Billions IVQ1985

IIIQ1986

IQ1980-IVQ1985

IQ1980-IIIQ1986

+6,153.3  ∆%68.2 R∆%18.0

+7,161.5  ∆%79.4 R∆%24.9

+5,954.0 ∆%64.6 R∆%20.6

+6,962.2 ∆%75.5 R∆%27.6

Period IVQ2007 to IQ2013

 

Net Worth of Households and Nonprofit Organizations USD Millions

 

IVQ2007

67,918.6

IIQ2013

74,820.9

∆ USD Billions

6,902.3 ∆%10.2 R∆%-0.9

Net Worth = Assets – Liabilities. : R∆% real percentage change or adjusted for CPI percentage change.

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

Chart IIA-1 of the Board of Governors of the Federal Reserve System provides US wealth of households and nonprofit organizations from IVQ2007 to IQ2013. There is remarkable stop and go behavior in this series with two sharp declines and two standstills in the 16 quarters of expansion of the economy beginning in IIIQ2009. The increase in net worth of households and nonprofit organizations is the result of increases in valuations of risk financial assets and compressed liabilities resulting from zero interest rates. Wealth of households and nonprofits organization fell 0.9 percent from IVQ2007 to IIQ2013 when adjusting for consumer price inflation.

clip_image044

Chart IIA-1, Net Worth of Households and Nonprofit Organizations in Millions of Dollars, IVQ2007 to IIQ2013

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

Chart IIA-2 of the Board of Governors of the Federal Reserve System provides US wealth of households and nonprofit organizations from IVQ1979 to IVQ1985. There are changes in the rates of growth of wealth suggested by the changing slopes but there is smooth upward trend. There was significant financial turmoil during the 1980s. 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 2012 is estimated at $16,244.6 billion, such that the bailout would be equivalent to cost to taxpayers of about $430.5 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. Money center banks were under extraordinary pressure from the default of sovereign debt by various emerging nations that represented a large share of their net worth (see Pelaez 1986). Net worth of households and nonprofits organizations increased 68.2 percent from IVQ1979 to IVQ1985 and 18.0 percent after adjusting for consumer price inflation. Net worth of households and nonprofit organizations increased 64.6 percent from IQ1980 to IVQ1985 and 20.6 percent when adjusting for consumer price inflation.

clip_image045

Chart IIA-2, Net Worth of Households and Nonprofit Organizations in Millions of Dollars, IVQ1979 to IVQ1985

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

Chart IIA-2A provides net worth of households and nonprofits organizations in millions of dollars from IVQ1979 to IIIQ1986. Net worth of households and nonprofit organizations increased 79.4 percent from IVQ1979 to IIIQ1986 and 24.9 percent when adjusting for consumer price inflation. Net worth of households and nonprofit organizations increased 75.5 percent from IQ1980 to IIIQ1986 and 27.6 percent when adjusting for consumer price inflation.

clip_image046

Chart IIA-2A, Net Worth of Households and Nonprofit Organizations in Millions of Dollars, IVQ1979 to IIIQ1986

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

Chart IIA-3 of the Board of Governors of the Federal Reserve System provides US wealth of households and nonprofit organizations from IVQ1945 at $764.7 billion to IIQ2013 at $74,820.9 billion or increase of 9684.3 percent. The consumer price index not seasonally adjusted was 18.2 in Dec 1945 jumping to 233.504 in Jun 2013 or increase of 1,182.9 percent. There was a gigantic increase of US net worth of households and nonprofit organizations over 67 years and two quarters with inflation-adjusted increase from $42.016 in dollars of 1945 to $320.4266 in IIQ2013 or 662.6 percent. In a simple formula: {[($74,820.9/$764.7)/(233.504/18.2)-1]100 = 662.6%}. Wealth of households and nonprofit organizations increased from $764.7 billion at year-end 2012 to $70,640.8 billion at the end of 2012 or 9137.7 percent. The consumer price index increased from 18.2 in Dec 1945 to 229.601 in Dec 2012 or 1161.5 percent. Net wealth of households and nonprofit organizations in dollars of 1945 increased from $42.016 in 1945 to $307.668 in 2012 or 632.3 percent at the average yearly rate of 3.0 percent. US real GDP grew at the average rate of 2.9 percent from 1945 to 2012 (http://www.bea.gov/iTable/index_nipa.cfm). The combination of collapse of values of real estate and financial assets during the global recession of IVQ2007 to IIQ2009 caused sharp contraction of US households and nonprofits net worth. Recovery has been in stop-and-go fashion during the worst cyclical expansion in the 67 years when US GDP grew at 2.2 percent on average in sixteen quarters between IIIQ2009 and IIQ2013 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). US GDP was $228.2 billion in 1945 and net worth of households and nonprofit organizations $764.7 for ratio of wealth to GDP of 3.35. The ratio of net worth of households and nonprofits of $67,918.6 billion in 2007 to GDP of $14,480.3 billion was 4.69. The ratio of net worth of households and nonprofits of $74,820.9 billion in 2012 to GDP of 16,244.6 billion was 4.61.

clip_image047

Chart IIA-3, Net Worth of Households and Nonprofit Organizations in Millions of Dollars, IVQ1945 to IIQ2013

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

Households increased debt by 10.0 percent in 2006 but have been reducing their debt continuously with the exception of growth at 1.4 percent in IIQ2012 but renewed decrease at 1.6 percent in IIIQ2012 and increase at 2.1 percent in IVQ2012. Household debt declined at 0.6 percent in IQ2013 and increased at 0.2 percent in IIQ2013. Financial repression by zero fed funds rates or negative interest rates is intended to increase debt and reduce savings. Business had not been as exuberant in acquiring debt and has been increasing debt benefitting from historically low costs while increasing cash holdings to around $2 trillion by swelling undistributed profits because of the uncertainty of capital budgeting. The key to growth and hiring consists in creating the incentives for business to invest and hire. States and local government were forced into increasing debt by the decline in revenues but began to contract in IQ2011, decreasing again from IQ2011 to IVQ2011, decreasing at 2.8 percent in IIQ2012 and decreasing at 0.2 percent in IIIQ2012 and 3.8 percent in IVQ2012. State and local government increased debt at 2.4 percent in IQ2013 and at 1.1 percent in IIQ2013. Opposite behavior is found for the federal government that has been rapidly accumulating debt but without success in the self-assigned goal of promoting economic growth. Financial repression constitutes seigniorage of government debt (http://cmpassocregulationblog.blogspot.com/2011/05/global-inflation-seigniorage-financial.html http://cmpassocregulationblog.blogspot.com/2011/05/global-inflation-seigniorage-monetary.html).

Table IIA-6, US, Percentage Change of Nonfinancial Domestic Sector Debt

 

Total

Households

Business

State &
Local Govern-ment

Federal

IIQ2013

3.1

0.2

6.9

1.1

2.5

IQ2013

4.5

-0.5

4.9

2.4

10.1

IVQ2012

6.2

2.1

9.1

-3.8

10.4

IIIQ2012

3.0

-1.6

5.1

-0.2

7.1

IIQ2012

5.3

1.4

4.9

2.9

11.0

IQ2012

4.7

-1.1

4.4

0.4

13.5

IVQ 2011

4.6

-0.1

5.1

-1.6

12.1

IIIQ 2011

4.7

-1.0

4.2

-0.3

14.4

IIQ 2011

2.7

-2.6

5.6

-2.7

8.0

2012

4.9

0.2

6.0

-0.2

10.9

2011

3.7

-1.4

4.8

-1.7

11.4

2010

4.1

-2.5

1.5

2.3

20.2

2009

3.1

-1.7

-2.2

4.0

22.7

2008

5.9

0.0

6.3

0.6

24.2

2007

8.5

6.7

13.6

5.5

4.9

2006

8.7

10.0

11.0

3.9

3.9

2005

9.3

11.2

9.0

5.8

7.0

2004

9.3

11.1

6.7

11.4

9.0

2003

8.0

11.8

2.2

8.3

10.9

Source: Quarterly data are at seasonally-adjusted annual rates (SAAR).

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

Table IIA-7 provides wealth of US households and nonprofit organizations since 2003 in billions of current dollars at the end of period, NSA. Wealth fell from $67,919 billion in 2007 to $64,697 billion in 2011 or 4.7 percent and $58,920 billion in 2009 or 13.2 percent. Wealth increased 10.2 percent from 2007 to IIQ2013, falling 0.9 percent after adjustment for inflation.

Table IIA-7, US, Net Worth of Households and Nonprofit Organizations, Billions of Dollars, Amounts Outstanding at End of Period, NSA

Quarter

Net Worth

IIQ2013

74,821

IQ2013

73,479

IVQ2012

70,641

IIIQ2012

69,336

IIQ2012

67,131

IQ2012

67,062

IVQ2011

64,697

IIIQ2011

62,889

IIQ2011

65,247

2012

70,641

2011

64,697

2010

63,308

2009

58,920

2008

57,214

2007

67,919

2006

67,386

2005

62,786

2004

56,574

2003

49,503

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

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

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