Tuesday, May 6, 2014

Financial Volatility, Mediocre Cyclical United States Economic Growth with GDP Two Trillion Dollars Below Trend, Stagnating Real Disposable per Capita Income, Twenty Seven Million Unemployed/Underemployed, Stagnating Real Wages, World Cyclical Slow Growth and Global Recession Risk: Part I

 

Financial Volatility, Mediocre Cyclical United States Economic Growth with GDP Two Trillion Dollars Below Trend, Stagnating Real Disposable per Capita Income, Twenty Seven Million Unemployed/Underemployed, Stagnating Real Wages, World Cyclical Slow Growth and Global Recession Risk

Carlos M. Pelaez

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

Executive Summary

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

IA Mediocre Cyclical United States Economic Growth

IA1 Contracting Real Private Fixed Investment

IA2 Swelling Undistributed Corporate Profits

IB Stagnating Real Disposable Income and Consumption Expenditures

IB1 Stagnating Real Disposable Income and Consumption Expenditures

IB2 Financial Repression

II Twenty Seven Million Unemployed or Underemployed

IA1 Summary of the Employment Situation

IA2 Number of People in Job Stress

IA3 Long-term and Cyclical Comparison of Employment

IA4 Job Creation

IIB Stagnating Real Wages

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

Executive Summary

Contents of Executive Summary

ESI Increasing Interest Rate Risk, Tapering Quantitative Easing, Duration Dumping, Steepening

Yield Curve and Global Financial and Economic Risk

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

ESIII Contracting Real Private Fixed Investment

ESIV Stagnating Real Disposable Income

ESV Financial Repression

ESVI Twenty Seven Million Unemployed or Underemployed

ESVII Job Creation

ESVIII Stagnating Real Wages

ESI Increasing Interest Rate Risk, Tapering Quantitative Easing, Duration Dumping, Steepening Yield Curve and Global Financial and Economic Risk. The International Monetary Fund (IMF) provides an international safety net for prevention and resolution of international financial crises. The IMF’s Financial Sector Assessment Program (FSAP) provides analysis of the economic and financial sectors of countries (see Pelaez and Pelaez, International Financial Architecture (2005), 101-62, Globalization and the State, Vol. II (2008), 114-23). Relating economic and financial sectors is a challenging task for both theory and measurement. The International Monetary Fund (IMF) provides an international safety net for prevention and resolution of international financial crises. The IMF’s Financial Sector Assessment Program (FSAP) provides analysis of the economic and financial sectors of countries (see Pelaez and Pelaez, International Financial Architecture (2005), 101-62, Globalization and the State, Vol. II (2008), 114-23). Relating economic and financial sectors is a challenging task for both theory and measurement. The IMF provides surveillance of the world economy with its Global Economic Outlook (WEO) (http://www.imf.org/external/ns/cs.aspx?id=29), of the world financial system with its Global Financial Stability Report (GFSR) (http://www.imf.org/external/pubs/ft/gfsr/index.htm) and of fiscal affairs with the Fiscal Monitor (http://www.imf.org/external/ns/cs.aspx?id=262). There appears to be a moment of transition in global economic and financial variables that may prove of difficult analysis and measurement. It is useful to consider a summary of global economic and financial risks, which are analyzed in detail in the comments of this blog in Section VI Valuation of Risk Financial Assets, Table VI-4.

Economic risks include the following:

  1. China’s Economic Growth. China is lowering its growth target to 7.5 percent per year. China’s GDP growth decelerated significantly from annual equivalent 10.4 percent in IIQ2011 to 7.4 percent in IVQ2011 and 5.7 percent in IQ2012, rebounding to 8.7 percent in IIQ2012, 8.2 percent in IIIQ2012 and 7.8 percent in IVQ2012. Annual equivalent growth in IQ2013 fell to 6.1 percent and to 7.4 percent in IIQ2013, rebounding to 9.5 percent in IIIQ2013. Annual equivalent growth was 7.0 percent in IVQ2013, declining to 5.7 percent in IQ2014 (http://cmpassocregulationblog.blogspot.com/2014/04/imf-view-world-inflation-waves-squeeze.html and earlier http://cmpassocregulationblog.blogspot.com/2014/01/capital-flows-exchange-rates-and.html and earlier http://cmpassocregulationblog.blogspot.com/2013/10/twenty-eight-million-unemployed-or.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/07/tapering-quantitative-easing-policy-and_7005.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/01/recovery-without-hiring-world-inflation.html and earlier at http://cmpassocregulationblog.blogspot.com/2012/10/world-inflation-waves-stagnating-united_21.html). There is also concern about indebtedness, move to devaluation and deep policy reforms.
  2. United States Economic Growth, Labor Markets and Budget/Debt Quagmire. The US is growing slowly with 27.4 million in job stress, fewer 10 million full-time jobs, high youth unemployment, historically low hiring and declining/stagnating real wages. Actual GDP is about two trillion dollars lower than trend GDP.
  3. Economic Growth and Labor Markets in Advanced Economies. Advanced economies are growing slowly. There is still high unemployment in advanced economies.
  4. World Inflation Waves. Inflation continues in repetitive waves globally (http://cmpassocregulationblog.blogspot.com/2014/04/imf-view-world-inflation-waves-squeeze.html and earlier http://cmpassocregulationblog.blogspot.com/2014/03/interest-rate-risks-world-inflation.html). There is growing concern on capital outflows and currency depreciation of emerging markets.

A list of financial uncertainties includes:

  1. Euro Area Survival Risk. The resilience of the euro to fiscal and financial doubts on larger member countries is still an unknown risk.
  2. Foreign Exchange Wars. Exchange rate struggles continue as zero interest rates in advanced economies induce devaluation of their currencies with alternating episodes of revaluation.
  3. Valuation of Risk Financial Assets. Valuations of risk financial assets have reached extremely high levels in markets with lower volumes.
  4. Duration Trap of the Zero Bound. The yield of the US 10-year Treasury rose from 2.031 percent on Mar 9, 2012, to 2.294 percent on Mar 16, 2012. Considering a 10-year Treasury with coupon of 2.625 percent and maturity in exactly 10 years, the price would fall from 105.3512 corresponding to yield of 2.031 percent to 102.9428 corresponding to yield of 2.294 percent, for loss in a week of 2.3 percent but far more in a position with leverage of 10:1. Min Zeng, writing on “Treasurys fall, ending brutal quarter,” published on Mar 30, 2012, in the Wall Street Journal (http://professional.wsj.com/article/SB10001424052702303816504577313400029412564.html?mod=WSJ_hps_sections_markets), informs that Treasury bonds maturing in more than 20 years lost 5.52 percent in the first quarter of 2012.
  5. Credibility and Commitment of Central Bank Policy. There is a credibility issue of the commitment of monetary policy (Sargent and Silber 2012Mar20).
  6. Carry Trades. Commodity prices driven by zero interest rates have resumed their increasing path with fluctuations caused by intermittent risk aversion

Chart VIII-1 of the Board of Governors of the Federal Reserve System provides the rate on the overnight fed funds rate and the yields of the 10-year constant maturity Treasury and the Baa seasoned corporate bond. Table VIII-3 provides the data for selected points in Chart VIII-1. There are two important economic and financial events, illustrating the ease of inducing carry trade with extremely low interest rates and the resulting financial crash and recession of abandoning extremely low interest rates.

  • The Federal Open Market Committee (FOMC) lowered the target of the fed funds rate from 7.03 percent on Jul 3, 2000, to 1.00 percent on Jun 22, 2004, in pursuit of non-existing deflation (Pelaez and Pelaez, International Financial Architecture (2005), 18-28, The Global Recession Risk (2007), 83-85). Central bank commitment to maintain the fed funds rate at 1.00 percent induced adjustable-rate mortgages (ARMS) linked to the fed funds rate. 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. 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 interest rates close to zero, 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 with the objective of purchasing 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 by the penalty in the form of low interest rates and unsound credit decisions. 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). The FOMC implemented increments of 25 basis points of the fed funds target from Jun 2004 to Jun 2006, raising the fed funds rate to 5.25 percent on Jul 3, 2006, as shown in Chart VIII-1. The gradual exit from the first round of unconventional monetary policy from 1.00 percent in Jun 2004 (http://www.federalreserve.gov/boarddocs/press/monetary/2004/20040630/default.htm) to 5.25 percent in Jun 2006 (http://www.federalreserve.gov/newsevents/press/monetary/20060629a.htm) caused the financial crisis and global recession.
  • On Dec 16, 2008, the policy determining committee of the Fed decided (http://www.federalreserve.gov/newsevents/press/monetary/20081216b.htm): “The Federal Open Market Committee decided today to establish a target range for the federal funds rate of 0 to 1/4 percent.” Policymakers emphasize frequently that there are tools to exit unconventional monetary policy at the right time. At the confirmation hearing on nomination for Chair of the Board of Governors of the Federal Reserve System, Vice Chair Yellen (2013Nov14 http://www.federalreserve.gov/newsevents/testimony/yellen20131114a.htm), states that: “The Federal Reserve is using its monetary policy tools to promote a more robust recovery. A strong recovery will ultimately enable the Fed to reduce its monetary accommodation and reliance on unconventional policy tools such as asset purchases. I believe that supporting the recovery today is the surest path to returning to a more normal approach to monetary policy.” Perception of withdrawal of $2671 billion, or $2.7 trillion, of bank reserves (http://www.federalreserve.gov/releases/h41/current/h41.htm#h41tab1), would cause Himalayan increase in interest rates that would provoke another recession. There is no painless gradual or sudden exit from zero interest rates because reversal of exposures created on the commitment of zero interest rates forever.

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

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

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

W = Y/r (1)

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

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Chart VIII-1, Fed Funds Rate and Yields of Ten-year Treasury Constant Maturity and Baa Seasoned Corporate Bond, Jan 2, 2001 to May 1, 2014 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/

Table VIII-3, Selected Data Points in Chart VIII-1, % per Year

 

Fed Funds Overnight Rate

10-Year Treasury Constant Maturity

Seasoned Baa Corporate Bond

1/2/2001

6.67

4.92

7.91

10/1/2002

1.85

3.72

7.46

7/3/2003

0.96

3.67

6.39

6/22/2004

1.00

4.72

6.77

6/28/2006

5.06

5.25

6.94

9/17/2008

2.80

3.41

7.25

10/26/2008

0.09

2.16

8.00

10/31/2008

0.22

4.01

9.54

4/6/2009

0.14

2.95

8.63

4/5/2010

0.20

4.01

6.44

2/4/2011

0.17

3.68

6.25

7/25/2012

0.15

1.43

4.73

5/1/13

0.14

1.66

4.48

9/5/13

0.08

2.98

5.53

11/21/2013

0.09

2.79

5.44

11/26/13

0.09

2.74

5.34 (11/26/13)

12/5/13

0.09

2.88

5.47

12/11/13

0.09

2.89

5.42

12/18/13

0.09

2.94

5.36

12/26/13

0.08

3.00

5.37

1/1/2014

0.08

3.00

5.34

1/8/2014

0.07

2.97

5.28

1/15/2014

0.07

2.86

5.18

1/22/2014

0.07

2.79

5.11

1/30/2014

0.07

2.72

5.08

2/6/2014

0.07

2.73

5.13

2/13/2014

0.06

2.73

5.12

2/20/14

0.07

2.76

5.15

2/27/14

0.07

2.65

5.01

3/6/14

0.08

2.74

5.11

3/13/14

0.08

2.66

5.05

3/20/14

0.08

2.79

5.13

3/27/14

0.08

2.69

4.95

4/3/14

0.08

2.80

5.04

4/10/14

0.08

2.65

4.89

4/17/14

0.09

2.73

4.89

4/24/14

0.10

2.70

4.84

5/1/14

0.09

2.63

4.77

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/

What is truly important is the fixing of the overnight fed funds at 0 to ¼ percent for which there is no end in sight as evident in the FOMC statement for Apr 30, 2014 (http://www.federalreserve.gov/newsevents/press/monetary/20140430a.htm):

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

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

Chart S provides the yield of the two-year Treasury constant maturity from Mar 17, 2014, two days before the guidance of Chair Yellen on Mar 19, 2014, to May 1, 2014. Chart SA provides the yields of the five, seven, ten and thirty-year Treasury constant maturity in the same dates. Yields increased right after the guidance of Chair Yellen. The two-year yield remain at a higher level than before while the ten-year yield fell and increased again. There could be more immediate impact on two-year yields of an increase in the fed funds rates but the effects would spread throughout the term structure of interest rates (Cox, Ingersoll and Ross 1981, 1985, Ingersoll 1987). Yields converged toward slightly lower earlier levels in the week of Apr 24, 2014 with reallocation of portfolios of risk financial assets away from equities and into bonds and commodities.

clip_image002

Chart S, US, Yield of Two-Year Treasury Constant Maturity, Mar 17 to May, 2014 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/

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Chart SA, US, Yield of Seven-Year, Ten-Year and Thirty-Year Treasury Constant Maturity, Mar 17 to May 1, 2014 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/

At a speech on Mar 31, 2014, Chair Yellen analyzed labor market conditions as follows (http://www.federalreserve.gov/newsevents/speech/yellen20140331a.htm):

“And based on the evidence available, it is clear to me that the U.S. economy is still considerably short of the two goals assigned to the Federal Reserve by the Congress. The first of those goals is maximum sustainable employment, the highest level of employment that can be sustained while maintaining a stable inflation rate. Most of my colleagues on the Federal Open Market Committee and I estimate that the unemployment rate consistent with maximum sustainable employment is now between 5.2 percent and 5.6 percent, well below the 6.7 percent rate in February.

Let me explain what I mean by that word "slack" and why it is so important.

Slack means that there are significantly more people willing and capable of filling a job than there are jobs for them to fill. During a period of little or no slack, there still may be vacant jobs and people who want to work, but a large share of those willing to work lack the skills or are otherwise not well suited for the jobs that are available. With 6.7 percent unemployment, it might seem that there must be a lot of slack in the U.S. economy, but there are reasons why that may not be true.”

It is quite difficult to measure inflationary expectations because they tend to break abruptly from past inflation. There could still be an influence of past and current inflation in the calculation of future inflation by economic agents. Table VIII-1 provides inflation of the CPI. In the three months Jan 2014 to Mar 2014, CPI inflation for all items seasonally adjusted was 1.6 percent in annual equivalent, obtained by calculating accumulated inflation from Jan 2013 to Mar 2014 and compounding for a full year. In the 12 months ending in Mar 2014, CPI inflation of all items not seasonally adjusted was 1.5 percent. Inflation in Mar 2014 seasonally adjusted was 0.2 percent relative to Feb 2014, or 2.4 percent annual equivalent (http://www.bls.gov/cpi/). The second row provides the same measurements for the CPI of all items excluding food and energy: 1.7 percent in 12 months and 1.6 percent in annual equivalent Jan 2013-Mar 2014. The Wall Street Journal provides the yield curve of US Treasury securities (http://professional.wsj.com/mdc/public/page/mdc_bonds.html?mod=mdc_topnav_2_3000). The shortest term is 0.010 percent for one month, 0.023 percent for three months, 0.048 percent for six months, 0.104 percent for one year, 0.426 percent for two years, 0.867 percent for three years, 1.666 percent for five years, 2.194 percent for seven years, 2.585 percent for ten years and 3.368 percent for 30 years. The Irving Fisher (1930) definition of real interest rates is approximately the difference between nominal interest rates, which are those estimated by the Wall Street Journal, and the rate of inflation expected in the term of the security, which could behave as in Table VIII-1. Inflation in Mar 2014 is low in 12 months because of the unwinding of carry trades from zero interest rates to commodity futures prices but could ignite again with subdued risk aversion. Real interest rates in the US have been negative during substantial periods in the past decade while monetary policy pursues a policy of attaining its “dual mandate” of (http://www.federalreserve.gov/aboutthefed/mission.htm):

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

Negative real rates of interest distort calculations of risk and returns from capital budgeting by firms, through lending by financial intermediaries to decisions on savings, housing and purchases of households. Inflation on near zero interest rates misallocates resources away from their most productive uses and creates uncertainty of the future path of adjustment to higher interest rates that inhibit sound decisions.

Table VIII-1, US, Consumer Price Index Percentage Change 12 Months NSA and Annual Equivalent

 

∆% 12 Months Mar 2014/Mar
2013 NSA

∆% Annual Equivalent Jan 2014 to Mar 2014 SA

CPI All Items

1.5

1.6

CPI ex Food and Energy

1.7

1.6

Source: Bureau of Labor Statistics

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

Professionals use a variety of techniques in measuring interest rate risk (Fabozzi, Buestow and Johnson, 2006, Chapter Nine, 183-226):

  • Full valuation approach in which securities and portfolios are shocked by 50, 100, 200 and 300 basis points to measure their impact on asset values
  • Stress tests requiring more complex analysis and translation of possible events with high impact even if with low probability of occurrence into effects on actual positions and capital
  • Value at Risk (VaR) analysis of maximum losses that are likely in a time horizon
  • Duration and convexity that are short-hand convenient measurement of changes in prices resulting from changes in yield captured by duration and convexity
  • Yield volatility

Analysis of these methods is in Pelaez and Pelaez (International Financial Architecture (2005), 101-162) and Pelaez and Pelaez, Globalization and the State, Vol. (I) (2008a), 78-100). Frederick R. Macaulay (1938) introduced the concept of duration in contrast with maturity for analyzing bonds. Duration is the sensitivity of bond prices to changes in yields. In economic jargon, duration is the yield elasticity of bond price to changes in yield, or the percentage change in price after a percentage change in yield, typically expressed as the change in price resulting from change of 100 basis points in yield. The mathematical formula is the negative of the yield elasticity of the bond price or –[dB/d(1+y)]((1+y)/B), where d is the derivative operator of calculus, B the bond price, y the yield and the elasticity does not have dimension (Hallerbach 2001). The duration trap of unconventional monetary policy is that duration is higher the lower the coupon and higher the lower the yield, other things being constant. Coupons and yields are historically low because of unconventional monetary policy. Duration dumping during a rate increase may trigger the same crossfire selling of high duration positions that magnified the credit crisis. Traders reduced positions because capital losses in one segment, such as mortgage-backed securities, triggered haircuts and margin increases that reduced capital available for positioning in all segments, causing fire sales in multiple segments (Brunnermeier and Pedersen 2009; see Pelaez and Pelaez, Regulation of Banks and Finance (2008b), 217-24). Financial markets are currently experiencing fear of duration and riskier asset classes resulting from the debate within and outside the Fed on tapering quantitative easing. Table VIII-2 provides the yield curve of Treasury securities on May 2, 2014, Dec 31, 2013, May 1, 2013, May 2, 2013 and May 2, 2006. There is oscillating steepening of the yield curve for longer maturities, which are also the ones with highest duration. The 10-year yield increased from 1.45 percent on Jul 26, 2012 to 3.04 percent on Dec 31, 2013 and 2.60 percent on May 2, 2014, as measured by the United States Treasury. Assume that a bond with maturity in 10 years were issued on Dec 31, 2013, at par or price of 100 with coupon of 1.45 percent. The price of that bond would be 86.3778 with instantaneous increase of the yield to 3.04 percent for loss of 13.6 percent and far more with leverage. Assume that the yield of a bond with exactly ten years to maturity and coupon of 2.60 percent as occurred on May 2, 2013 would jump instantaneously from yield of 2.60 percent on May 2, 2014 to 5.12 percent as occurred on May 2, 2006 when the economy was closer to full employment. The price of the hypothetical bond issued with coupon of 2.60 percent would drop from 100 to 80.4685 after an instantaneous increase of the yield to 5.12 percent. The price loss would be 19.5 percent. Losses absorb capital available for positioning, triggering crossfire sales in multiple asset classes (Brunnermeier and Pedersen 2009). What is the path of adjustment of zero interest rates on fed funds and artificially low bond yields? There is no painless exit from unconventional monetary policy. Chris Dieterich, writing on “Bond investors turn to cash,” on Jul 25, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323971204578625900935618178.html), uses data of the Investment Company Institute (http://www.ici.org/) in showing withdrawals of $43 billion in taxable mutual funds in Jun, which is the largest in history, with flows into cash investments such as $8.5 billion in the week of Jul 17 into money-market funds.

Table VIII-2, United States, Treasury Yields

 

5/2/14

12/31/13

5/01/13

5/2/13

5/2/06

1 M

0.01

0.01

0.03

0.02

4.66

3 M

0.02

0.07

0.06

0.05

4.81

6 M

0.05

0.10

0.08

0.08

4.98

1 Y

0.10

0.13

0.11

0.11

4.96

2 Y

0.42

0.38

0.20

0.20

4.92

3 Y

0.89

0.78

0.30

0.30

4.94

5 Y

1.67

1.75

0.65

0.65

4.98

7 Y

2.20

2.45

1.07

1.07

5.03

10 Y

2.60

3.04

1.66

1.66

5.12

20 Y

3.12

3.72

2.44

2.44

5.35

30 Y

3.37

3.96

2.83

2.82

5.20

M: Months; Y: Years

Source: United States Treasury

http://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield

Interest rate risk is increasing in the US with amplifying fluctuations. Chart VI-13 of the Board of Governors provides the conventional mortgage rate for a fixed-rate 30-year mortgage. The rate stood at 5.87 percent on Jan 8, 2004, increasing to 6.79 percent on Jul 6, 2006. The rate bottomed at 3.35 percent on May 2, 2013. Fear of duration risk in longer maturities such as mortgage-backed securities caused continuing increases in the conventional mortgage rate that rose to 4.51 percent on Jul 11, 2013, 4.58 percent on Aug 22, 2013 and 4.29 percent on May 1, 2014, which is the last data point in Chart VI-13. Shayndi Raice and Nick Timiraos, writing on “Banks cut as mortgage boom ends,” on Jan 9, 2014, published in the Wall Street Journal (http://online.wsj.com/news/articles/SB10001424052702303754404579310940019239208), analyze the drop in mortgage applications to a 13-year low, as measured by the Mortgage Bankers Association. Nick Timiraos, writing on “Demand for home loans plunges,” on Apr 24, 2014, published in the Wall Street Journal (http://online.wsj.com/news/articles/SB10001424052702304788404579522051733228402?mg=reno64-wsj), analyzes data in Inside Mortgage Finance that mortgage lending of $235 billion in IQ2014 is 58 percent lower than a year earlier and 23 percent below IVQ2013. Mortgage lending collapsed to the lowest level in 14 years.

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Chart VI-13, US, Conventional Mortgage Rate, Jan 8, 2004 to May 1, 2014

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update

There is a false impression of the existence of a monetary policy “science,” measurements and forecasting with which to steer the economy into “prosperity without inflation.” Market participants are remembering the Great Bond Crash of 1994 shown in Table VI-7G when monetary policy pursued nonexistent inflation, causing trillions of dollars of losses in fixed income worldwide while increasing the fed funds rate from 3 percent in Jan 1994 to 6 percent in Dec. The exercise in Table VI-7G shows a drop of the price of the 30-year bond by 18.1 percent and of the 10-year bond by 14.1 percent. CPI inflation remained almost the same and there is no valid counterfactual that inflation would have been higher without monetary policy tightening because of the long lag in effect of monetary policy on inflation (see Culbertson 1960, 1961, Friedman 1961, Batini and Nelson 2002, Romer and Romer 2004). The pursuit of nonexistent deflation during the past ten years has resulted in the largest monetary policy accommodation in history that created the 2007 financial market crash and global recession and is currently preventing smoother recovery while creating another financial crash in the future. The issue is not whether there should be a central bank and monetary policy but rather whether policy accommodation in doses from zero interest rates to trillions of dollars in the fed balance sheet endangers economic stability.

Table VI-7G, Fed Funds Rates, Thirty and Ten Year Treasury Yields and Prices, 30-Year Mortgage Rates and 12-month CPI Inflation 1994

1994

FF

30Y

30P

10Y

10P

MOR

CPI

Jan

3.00

6.29

100

5.75

100

7.06

2.52

Feb

3.25

6.49

97.37

5.97

98.36

7.15

2.51

Mar

3.50

6.91

92.19

6.48

94.69

7.68

2.51

Apr

3.75

7.27

88.10

6.97

91.32

8.32

2.36

May

4.25

7.41

86.59

7.18

88.93

8.60

2.29

Jun

4.25

7.40

86.69

7.10

90.45

8.40

2.49

Jul

4.25

7.58

84.81

7.30

89.14

8.61

2.77

Aug

4.75

7.49

85.74

7.24

89.53

8.51

2.69

Sep

4.75

7.71

83.49

7.46

88.10

8.64

2.96

Oct

4.75

7.94

81.23

7.74

86.33

8.93

2.61

Nov

5.50

8.08

79.90

7.96

84.96

9.17

2.67

Dec

6.00

7.87

81.91

7.81

85.89

9.20

2.67

Notes: FF: fed funds rate; 30Y: yield of 30-year Treasury; 30P: price of 30-year Treasury assuming coupon equal to 6.29 percent and maturity in exactly 30 years; 10Y: yield of 10-year Treasury; 10P: price of 10-year Treasury assuming coupon equal to 5.75 percent and maturity in exactly 10 years; MOR: 30-year mortgage; CPI: percent change of CPI in 12 months

Sources: yields and mortgage rates http://www.federalreserve.gov/releases/h15/data.htm CPI ftp://ftp.bls.gov/pub/special.requests/cpi/cpiai.t

Chart VI-14 provides the overnight fed funds rate, the yield of the 10-year Treasury constant maturity bond, the yield of the 30-year constant maturity bond and the conventional mortgage rate from Jan 1991 to Dec 1996. In Jan 1991, the fed funds rate was 6.91 percent, the 10-year Treasury yield 8.09 percent, the 30-year Treasury yield 8.27 percent and the conventional mortgage rate 9.64 percent. Before monetary policy tightening in Oct 1993, the rates and yields were 2.99 percent for the fed funds, 5.33 percent for the 10-year Treasury, 5.94 for the 30-year Treasury and 6.83 percent for the conventional mortgage rate. After tightening in Nov 1994, the rates and yields were 5.29 percent for the fed funds rate, 7.96 percent for the 10-year Treasury, 8.08 percent for the 30-year Treasury and 9.17 percent for the conventional mortgage rate.

ChVI-14DDPChart

Chart VI-14, US, Overnight Fed Funds Rate, 10-Year Treasury Constant Maturity, 30-Year Treasury Constant Maturity and Conventional Mortgage Rate, Monthly, Jan 1991 to Dec 1996

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

Chart VI-15 of the Bureau of Labor Statistics provides the all items consumer price index from Jan 1991 to Dec 1996. There does not appear acceleration of consumer prices requiring aggressive tightening.

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Chart VI-15, US, Consumer Price Index All Items, Jan 1991 to Dec 1996

Source: Bureau of Labor Statistics

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

Chart IV-16 of the Bureau of Labor Statistics provides 12-month percentage changes of the all items consumer price index from Jan 1991 to Dec 1996. Inflation collapsed during the recession from Jul 1990 (III) and Mar 1991 (I) and the end of the Kuwait War on Feb 25, 1991 that stabilized world oil markets. CPI inflation remained almost the same and there is no valid counterfactual that inflation would have been higher without monetary policy tightening because of the long lag in effect of monetary policy on inflation (see Culbertson 1960, 1961, Friedman 1961, Batini and Nelson 2002, Romer and Romer 2004). Policy tightening had adverse collateral effects in the form of emerging market crises in Mexico and Argentina and fixed income markets worldwide.

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Chart VI-16, US, Consumer Price Index All Items, Twelve-Month Percentage Change, Jan 1991 to Dec 1996

Source: Bureau of Labor Statistics

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

The process of integration consisted of restructuring “international financial architecture” (Pelaez and Pelaez, International Financial Architecture: G7, IMF, BIS, Debtors and Creditors (2005)). Policy concerns subsequently shifted to the external imbalances, or current account deficits, and internal imbalances, or government deficits (Pelaez and Pelaez, The Global Recession Risk: Dollar Devaluation and the World Economy (2007)). Fed policy consisted of lowering the policy rate or fed funds rate, which is close to the marginal cost of funding of banks, toward zero during the past decade. Near zero interest rates induce carry trades of selling dollar debt (borrowing), shorting the USD and investing in risk financial assets. Without risk aversion, near zero interest rates cause devaluation of the dollar. Chart VI-3 shows the weakening USD between the recession of 2001 and the contraction after IVQ2007. There was a flight to dollar assets and especially obligations of the US government after Sep 2008. Cochrane and Zingales (2009) show that flight was coincident with proposals of TARP (Troubled Asset Relief Program) to withdraw “toxic assets” in US banks (see Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a) and Regulation of Banks and Finance (2009b)). There are shocks to globalization in the form of regulation, trade and devaluation wars and breakdown of international cooperation (Pelaez and Pelaez, Globalization and the State: Vol. I (2008a), Globalization and the State: Vol. II (2008b) and Government Intervention in Globalization: Regulation, Trade and Devaluation Wars (2008c)). As evident in Chart VI-3A, there is no exit from near zero interest rates without a financial crisis and economic contraction, verified by the increase of interest rates from 1 percent in Jun 2004 to 5.25 percent in Jun 2006. The Federal Open Market Committee (FOMC) lowered the target of the fed funds rate from 7.03 percent on Jul 3, 2000, to 1.00 percent on Jun 22, 2004, in pursuit of non-existing deflation (Pelaez and Pelaez, International Financial Architecture (2005), 18-28, The Global Recession Risk (2007), 83-85). The FOMC implemented increments of 25 basis points of the fed funds target from Jun 2004 to Jun 2006, raising the fed funds rate to 5.25 percent on Jul 3, 2006, as shown in Chart VI-3A. The gradual exit from the first round of unconventional monetary policy from 1.00 percent in Jun 2004 (http://www.federalreserve.gov/boarddocs/press/monetary/2004/20040630/default.htm) to 5.25 percent in Jun 2006 (http://www.federalreserve.gov/newsevents/press/monetary/20060629a.htm) caused the financial crisis and global recession.

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Chart VI-3, US Dollar Currency Indexes, Jan 4, 1995-Apr 25, 2014

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

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Chart VI-3A, US, Overnight Fed Funds Rate, Yield of Three-Month Treasury Constant Maturity, Yield of Ten-Year Treasury Constant Maturity and Yield of Moody’s Baa Bond, Jan 4, 1995 to May 1, 2014

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

Table VI-2 extracts four rows of Table VI-1 with the Dollar/EUR (USD/EUR) exchange rate and Chinese Yuan/Dollar (CNY/USD) exchange rate that reveal pursuit of exchange rate policies resulting from monetary policy in the US and capital control/exchange rate policy in China. The ultimate intentions are the same: promoting internal economic activity at the expense of the rest of the world. The easy money policy of the US was deliberately or not but effectively to devalue the dollar from USD 1.1423/EUR on Jun 26, 2003 to USD 1.5914/EUR on Jul 14, 2008, or by 39.3 percent. The flight into dollar assets after the global recession caused revaluation to USD 1.192/EUR on Jun 7, 2010, or by 25.1 percent. After the temporary interruption of the sovereign risk issues in Europe from Apr to Jul, 2010, shown in Table VI-4 below, the dollar has devalued again to USD 1.3873/EUR on May 2, 2014 or by 16.0 percent {[(1.3873/1.192)-1]100 = 16.4%}. Yellen (2011AS, 6) admits that Fed monetary policy results in dollar devaluation with the objective of increasing net exports, which was the policy that Joan Robinson (1947) labeled as “beggar-my-neighbor” remedies for unemployment. Risk aversion erodes devaluation of the dollar. China fixed the CNY to the dollar for a long period at a highly undervalued level of around CNY 8.2765/USD subsequently revaluing to CNY 6.8211/USD until Jun 7, 2010, or by 17.6 percent. After fixing again the CNY to the dollar, China revalued to CNY 6.2595/USD on Fri May 2, 2014, or by an additional 8.2 percent, for cumulative revaluation of 24.4 percent. The final row of Table VI-2 shows: no change in the week of Apr 11, 2014; devaluation of 0.4 percent in the week of Apr 18, 2014; depreciation of 0.3 percent the week of Apr 25, 2014; and depreciation of 0.1 percent in the week of May 2, 2014. There could be reversal of revaluation to devalue the Yuan.

Table VI-2, Dollar/Euro (USD/EUR) Exchange Rate and Chinese Yuan/Dollar (CNY/USD) Exchange Rate

USD/EUR

12/26/03

7/14/08

6/07/10

5/2/14

Rate

1.1423

1.5914

1.192

1.3873

CNY/USD

01/03
2000

07/21
2005

7/15
2008

5/2/

2014

Rate

8.2798

8.2765

6.8211

6.2595

Weekly Rates

4/11/2014

4/18/2014

4/25/2014

5/2/

2014

CNY/USD

6.2111

6.2111

6.2539

6.2595

∆% from Earlier Week*

0.0

-0.4

-0.3

-0.1

*Negative sign is depreciation; positive sign is appreciation

Source: http://professional.wsj.com/mdc/public/page/mdc_currencies.html?mod=mdc_topnav_2_3000

Professor Edward P Lazear (2013Jan7), writing on “Chinese ‘currency manipulation’ is not the problem,” on Jan 7, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887323320404578213203581231448.html), provides clear thought on the role of the yuan in trade between China and the United States and trade between China and Europe. There is conventional wisdom that Chinese exchange rate policy causes the loss of manufacturing jobs in the United States, which is shown by Lazear (2013Jan7) to be erroneous. The fact is that manipulation of the CNY/USD rate by China has only minor effects on US employment. Lazear (2013Jan7) shows that the movement of monthly exports of China to its major trading partners, United States and Europe, since 1995 cannot be explained by the fixing of the CNY/USD rate by China. The period is quite useful because it includes rapid growth before 2007, contraction until 2009 and weak subsequent expansion. Chart VI-1 of the Board of Governors of the Federal Reserve System provides the CNY/USD exchange rate from Jan 3, 1995 to Apr 25, 2014 together with US recession dates in shaded areas. China fixed the CNY/USD rate for a long period as shown in the horizontal segment from 1995 to 2005. There was systematic revaluation of 17.6 percent from CNY 8.2765 on Jul 21, 2005 to CNY 6.8211 on Jul 15, 2008. China fixed the CNY/USD rate until Jun 7, 2010, to avoid adverse effects on its economy from the global recession, which is shown as a horizontal segment from 2009 until mid 2010. China then continued the policy of appreciation of the CNY relative to the USD with oscillations until the beginning of 2012 when the rate began to move sideways followed by a final upward slope of devaluation that is measured in Table VI-2A but virtually disappeared in the rate of CNY 6.3589/USD on Aug 17, 2012 and was nearly unchanged at CNY 6.3558/USD on Aug 24, 2012. China then appreciated 0.2 percent in the week of Dec 21, 2012, to CNY 6.2352/USD for cumulative 1.9 percent revaluation from Oct 28, 2011 and left the rate virtually unchanged at CNY 6.2316/USD on Jan 11, 2013, appreciating to CNY 6.2534/USD on Apr 25, 2014, which is the last data point in Chart VI-1. Revaluation of the CNY relative to the USD by 24.4 percent by Apr 25, 2014 has not reduced the trade surplus of China but reversal of the policy of revaluation could result in international confrontation. The interruption with upward slope in the final segment on the right of Chart VI-I is measured as virtually stability in Table VI-2A followed with decrease or revaluation and subsequent increase or devaluation. Linglin Wei, writing on “China intervenes to lower yuan,” on Feb 26, 2014, published in the Wall Street Journal (http://online.wsj.com/news/articles/SB10001424052702304071004579406810684766716?KEYWORDS=china+yuan&mg=reno64-wsj), finds from informed sources that the central bank of China conducted the ongoing devaluation of the yuan with the objective of driving out arbitrageurs to widen the band of fluctuation. There is concern if the policy of revaluation is changing to devaluation.

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Chart VI-1, Chinese Yuan (CNY) per US Dollar (USD), Business Days, Jan 3, 1995-Apr 25, 2014

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Chart VI-1A provides the daily CNY/USD rate from Jan 5, 1981 to Apr 25, 2014. The exchange rate was CNY 1.5418/USD on Jan 5, 1981. There is sharp cumulative depreciation of 107.8 percent to CNY 3.2031 by Jul 2, 1986, continuing to CNY 5.8145/USD on Dec 29, 1993 for cumulative 277.1 percent since Jan 5, 1981. China then devalued sharply to CNY 8.7117/USD on Jan 7, 1994 for 49.8 percent relative to Dec 29, 1993 and cumulative 465.0 percent relative to Jan 5, 1981. China then fixed the rate at CNY 8.2765/USD until Jul 21, 2005 and revalued as analyzed in Chart VI-1. The final data point in Chart VI-1A is CNY 6.2534/USD on Apr 25, 2014. To be sure, China fixed the exchange rate after substantial prior devaluation. It is unlikely that the devaluation could have been effective after many years of fixing the exchange rate with high inflation and multiple changes in the world economy. The argument of Lazear (2013Jan7) is still valid in view of the lack of association between monthly exports of China to the US and Europe since 1995 and the exchange rate of China.

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Chart VI-1A, Chinese Yuan (CNY) per US Dollar (USD), Business Days, Jan 5, 1981-Apr 25, 2014

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Chart VI-1B provides fine details with the rate of Chinese Yuan (CNY) to the US Dollar (USD) from Oct 28, 2011 to Apr 18, 2014. There have been alternations of revaluation and devaluation. The initial data point is CNY 6.3570 on Oct 28, 2011. There is an episode of devaluation from CNY 6.2790 on Apr 30, 2012 to CNY 6.3879 on Jul 25, 2012, or devaluation of 1.7 percent. Another devaluation is from CNY 6.042/USD on Jan 4, 2014 to CNY 6.2534 on Apr 25, 2014, or devaluation of 3.5 percent.

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Chart VI-1B, Chinese Yuan (CNY) per US Dollar (US), Business Days, Oct 28, 2011-Apr 25, 2014

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Carry trades induced by zero interest rates increase capital flows into emerging markets that appreciate exchange rates. Portfolio reallocations away from emerging markets depreciate their exchange rates in reversals of capital flows. Chart VI-4A provides the exchange rate of the Mexican peso (MXN) per US dollar from Nov 8, 1993 to Apr 25, 2014. The first data point in Chart VI-4A is MXN 3.1520 on Nov 8, 1993. The rate devalued to 11.9760 on Nov 14, 1995 during emerging market crises in the 1990s and the increase of interest rates in the US in 1994 that stressed world financial markets (Pelaez and Pelaez, International Financial Architecture 2005, The Global Recession Risk 2007, 147-77). The MXN depreciated sharply to MXN 15.4060/USD on Mar 2, 2009, during the global recession. The rate moved to MXN 11.5050/USD on May 2, 2011, during the sovereign debt crisis in the euro area. The rate depreciated to 11.9760 on May 9, 2013. The final data point in the current flight from emerging markets is MXN 13.1350/USD on Apr 25, 2014.

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Chart VI-4A, Mexican Peso (MXN) per US Dollar (USD), Nov 8, 1993 to Apr 25, 2014

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

There are collateral effects worldwide from unconventional monetary policy. In remarkable anticipation in 2005, Professor Raghuram G. Rajan (2005) warned of low liquidity and high risks of central bank policy rates approaching the zero bound (Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 218-9). Professor Rajan excelled in a distinguished career as an academic economist in finance and was chief economist of the International Monetary Fund (IMF). Shefali Anand and Jon Hilsenrath, writing on Oct 13, 2013, on “India’s central banker lobbies Fed,” published in the Wall Street Journal (http://online.wsj.com/news/articles/SB10001424052702304330904579133530766149484?KEYWORDS=Rajan), interviewed Raghuram G Rajan, who is the current Governor of the Reserve Bank of India, which is India’s central bank (http://www.rbi.org.in/scripts/AboutusDisplay.aspx). In this interview, Rajan argues that central banks should avoid unintended consequences on emerging market economies of inflows and outflows of capital triggered by monetary policy. Professor Rajan, in an interview with Kartik Goyal of Bloomberg (http://www.bloomberg.com/news/2014-01-30/rajan-warns-of-global-policy-breakdown-as-emerging-markets-slide.html), warns of breakdown of global policy coordination. Professor Willem Buiter (2014Feb4), a distinguished economist currently Global Chief Economist at Citigroup (http://www.willembuiter.com/resume.pdf), writing on “The Fed’s bad manners risk offending foreigners,” on Feb 4, 2014, published in the Financial Times (http://www.ft.com/intl/cms/s/0/fbb09572-8d8d-11e3-9dbb-00144feab7de.html#axzz2suwrwkFs), concurs with Raghuram Rajan. Buiter (2014Feb4) argues that international policy cooperation in monetary policy is both in the interest of the world and the United States. Portfolio reallocations induced by combination of zero interest rates and risk events stimulate carry trades that generate wide swings in world capital flows. In a speech at the Brookings Institution on Raghuram G. Rajan (2014Apr10, 1, 10) argues:

“As the world seems to be struggling back to its feet after the great financial crisis, I want to draw attention to an area we need to be concerned about: the conduct of monetary policy in this integrated world. A good way to describe the current environment is one of extreme monetary easing through unconventional policies. In a world where debt overhangs and the need for structural change constrain domestic demand, a sizeable portion of the effects of such policies spillover across borders, sometimes through a weaker exchange rate. More worryingly, it prompts a reaction. Such competitive easing occurs both simultaneously and sequentially, as I will argue, and both advanced economies and emerging economies engage in it. Aggregate world demand may be weaker and more distorted than it should be, and financial risks higher. To ensure stable and sustainable growth, the international rules of the game need to be revisited. Both advanced economies and emerging economies need to adapt, else I fear we are about to embark on the next leg of a wearisome cycle. A first step to prescribing the right medicine is to recognize the cause of the sickness. Extreme monetary easing, in my view, is more cause than medicine. The sooner we recognize that, the more sustainable world growth we will have.”

Chart VI-4B provides the rate of the Indian rupee (INR) per US dollar (USD) from Jan 2, 1973 to Apr 25, 2014. The first data point is INR 8.0200 on Jan 2, 1973. The rate depreciated sharply to INR 51.9600 on Mar 3, 2009, during the global recession. The rate appreciated to INR 44.0300/USD on Jul 28, 2011 in the midst of the sovereign debt event in the euro area. The rate overshot to INR 68.8000 on Aug 28, 2013. The final data point is INR 60.6400/USD on Apr 25, 2014.

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Chart VI-4B, Indian Rupee (INR) per US Dollar (USD), Jan 2, 1973 to Apr 25, 2014

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

ChVI-5 provides the exchange rate of JPY (Japan yen) per USD (US dollars). The first data point on the extreme left is JPY 357.7300/USD for Jan 4, 1971. The JPY has appreciated over the long term relative to the USD with fluctuations along an evident long-term appreciation. Before the global recession, the JPY stood at JPY 124.0900/USD on Jun 22, 2007. The use of the JPY as safe haven is evident by sharp appreciation during the global recession to JPY 110.48/USD on Aug 15, 2008, and to JPY 87.8000/USD on Jan 21, 2009. The final data point in Chart VI-5 is JPY 102.1200/USD on Apr 25, 2014 for appreciation of 17.7 percent relative to JPY 124.0900/USD on Jun 22, 2007 before the global recession and expansion characterized by recurring bouts of risk aversion. Takashi Nakamichi and Eleanor Warnock, writing on “Japan lashes out over dollar, euro,” on Dec 29, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887323530404578207440474874604.html?mod=WSJ_markets_liveupdate&mg=reno64-wsj), analyze the “war of words” launched by Japan’s new Prime Minister Shinzo Abe and his finance minister Taro Aso, arguing of deliberate devaluations of the USD and EUR relative to the JPY, which are hurting Japan’s economic activity. The data in Table VI-6 is obtained from closing dates in New York published by the Wall Street Journal (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata).

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Chart VI-5, Japanese Yen JPY per US Dollars USD, Monthly, Jan 4, 1971-Apr 25, 2014

Note: US Recessions in Shaded Areas 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

The financial crisis and global recession were caused by interest rate and housing subsidies and affordability policies that encouraged high leverage and risks, low liquidity and unsound credit (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 157-66, Regulation of Banks and Finance (2009b), 217-27, International Financial Architecture (2005), 15-18, The Global Recession Risk (2007), 221-5, Globalization and the State Vol. II (2008b), 197-213, Government Intervention in Globalization (2008c), 182-4). Several past comments of this blog elaborate on these arguments, among which: http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html http://cmpassocregulationblog.blogspot.com/2011/01/professor-mckinnons-bubble-economy.html http://cmpassocregulationblog.blogspot.com/2011/01/world-inflation-quantitative-easing.html http://cmpassocregulationblog.blogspot.com/2011/01/treasury-yields-valuation-of-risk.html http://cmpassocregulationblog.blogspot.com/2010/11/quantitative-easing-theory-evidence-and.html http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html

Zero interest rates in the United States forever tend to depreciate the dollar against every other currency if there is no risk aversion preventing portfolio rebalancing toward risk financial assets, which include the capital markets and exchange rates of emerging-market economies. The objective of unconventional monetary policy as argued by Yellen 2011AS) is to devalue the dollar to increase net exports that increase US economic growth. Increasing net exports and internal economic activity in the US is equivalent to decreasing net exports and internal economic activity in other countries.

Continental territory, rich endowment of natural resources, investment in human capital, teaching and research universities, motivated labor force and entrepreneurial initiative provide Brazil with comparative advantages in multiple economic opportunities. Exchange rate parity is critical in achieving Brazil’s potential but is difficult in a world of zero interest rates. Chart IV-6 of the Board of Governors of the Federal Reserve System provides the rate of Brazilian real (BRL) per US dollar (USD) from BRL 1.2074/USD on Jan 4, 1999 to BRL 2.2357/USD on Apr 28, 2013. The rate reached BRL 3.9450/USD on Oct 10, 2002 appreciating 60.5 percent to BRL 1.5580/USD on Aug 1, 2008. The rate depreciated 68.1 percent to BRL 2.6187/USD on Dec 5, 2008 during worldwide flight from risk. The rate appreciated again by 41.3 percent to BRL 1.5375/USD on Jul 26, 2011. The final data point in Chart VI-6 is BRL 2.2357/USD on Apr 25, 2014 for depreciation of 45.4 percent. The data in Table VI-6 is obtained from closing dates in New York published by the Wall Street Journal (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata).

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Chart VI-6, Brazilian Real (BRL) per US Dollar (USD) Jan 4, 1999 to Apr 25, 2014

Note: US Recessions in Shaded Areas 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Chart VI-7 of the Board of Governors of the Federal Reserve System provides the history of the BRL beginning with the first data point of BRL 0.8440/USD on Jan 2, 1995. The rate jumped to BRL 2.0700/USD on Jan 29, 1999 after changes in exchange rate policy and then to BRL 2.2000/USD on Mar 3, 1999. The rate depreciated 26.7 percent to BRL 2.7880/USD on Sep 21, 2001 relative to Mar 3, 1999.

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Chart VI-7, Brazilian Real (BRL) per US Dollar (USD), Jan 2, 1995 to Apr 25, 2014

Note: US Recessions in Shaded Areas 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

The major reason and channel of transmission of unconventional monetary policy is through expectations of inflation. Fisher (1930) provided theoretical and historical relation of interest rates and inflation. Let in be the nominal interest rate, ir the real or inflation-adjusted interest rate and πe the expectation of inflation in the time term of the interest rate, which are all expressed as proportions. The following expression provides the relation of real and nominal interest rates and the expectation of inflation:

(1 + ir) = (1 + in)/(1 + πe) (1)

That is, the real interest rate equals the nominal interest rate discounted by the expectation of inflation in time term of the interest rate. Fisher (1933) analyzed the devastating effect of deflation on debts. Nominal debt contracts remained at original principal interest but net worth and income of debtors contracted during deflation. Real interest rates increase during declining inflation. For example, if the interest rate is 3 percent and prices decline 0.2 percent, equation (1) calculates the real interest rate as:

(1 +0.03)/(1 – 0.02) = 1.03/(0.998) = 1.032

That is, the real rate of interest is (1.032 – 1) 100 or 3.2 percent. If inflation were 2 percent, the real rate of interest would be 0.98 percent, or about 1.0 percent {[(1.03/1.02) -1]100 = 0.98%}.

The yield of the one-year Treasury security was quoted in the Wall Street Journal at 0.114 percent on Fri May 17, 2013 (http://online.wsj.com/mdc/page/marketsdata.html?mod=WSJ_topnav_marketdata_main). The expected rate of inflation πe in the next twelve months is not observed. Assume that it would be equal to the rate of inflation in the past twelve months estimated by the Bureau of Economic Analysis (BLS) at 1.1 percent (http://www.bls.gov/cpi/). The real rate of interest would be obtained as follows:

(1 + 0.00114)/(1 + 0.011) = (1 + rr) = 0.9902

That is, ir is equal to 1 – 0.9902 or minus 0.98 percent. Investing in a one-year Treasury security results in a loss of 0.98 percent relative to inflation. The objective of unconventional monetary policy of zero interest rates is to induce consumption and investment because of the loss to inflation of riskless financial assets. Policy would be truly irresponsible if it intended to increase inflationary expectations or πe. The result could be the same rate of unemployment with higher inflation (Kydland and Prescott 1977).

Current focus is on tapering quantitative easing by the Federal Open Market Committee (FOMC). There is sharp distinction between the two measures of unconventional monetary policy: (1) fixing of the overnight rate of fed funds at 0 to ¼ percent; and (2) outright purchase of Treasury and agency securities and mortgage-backed securities for the balance sheet of the Federal Reserve. Market are overreacting to the so-called “paring” of outright purchases of $55 billion of securities per month for the balance sheet of the Fed

(http://www.federalreserve.gov/newsevents/press/monetary/20140430a.htm):

“The Committee currently judges that there is sufficient underlying strength in the broader economy to support ongoing improvement in labor market conditions. In light of the cumulative progress toward maximum employment and the improvement in the outlook for labor market conditions since the inception of the current asset purchase program, the Committee decided to make a further measured reduction in the pace of its asset purchases. Beginning in May, the Committee will add to its holdings of agency mortgage-backed securities at a pace of $20 billion per month rather than $25 billion per month, and will add to its holdings of longer-term Treasury securities at a pace of $25 billion per month rather than $30 billion per month. The Committee is maintaining its existing policy of reinvesting principal payments from its holdings of agency debt and agency mortgage-backed securities in agency mortgage-backed securities and of rolling over maturing Treasury securities at auction. The Committee's sizable and still-increasing holdings of longer-term securities should maintain downward pressure on longer-term interest rates, support mortgage markets, and help to make broader financial conditions more accommodative, which in turn should promote a stronger economic recovery and help to ensure that inflation, over time, is at the rate most consistent with the Committee's dual mandate.”

What is truly important is the fixing of the overnight fed funds at 0 to ¼ percent for which there is no end in sight as evident in the FOMC statement for Mar 19, 2014 (http://www.federalreserve.gov/newsevents/press/monetary/20140430a.htm):

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

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

At a speech on Mar 31, 2014, Chair Yellen analyzed labor market conditions as follows (http://www.federalreserve.gov/newsevents/speech/yellen20140331a.htm):

“And based on the evidence available, it is clear to me that the U.S. economy is still considerably short of the two goals assigned to the Federal Reserve by the Congress. The first of those goals is maximum sustainable employment, the highest level of employment that can be sustained while maintaining a stable inflation rate. Most of my colleagues on the Federal Open Market Committee and I estimate that the unemployment rate consistent with maximum sustainable employment is now between 5.2 percent and 5.6 percent, well below the 6.7 percent rate in February.

Let me explain what I mean by that word "slack" and why it is so important.

Slack means that there are significantly more people willing and capable of filling a job than there are jobs for them to fill. During a period of little or no slack, there still may be vacant jobs and people who want to work, but a large share of those willing to work lack the skills or are otherwise not well suited for the jobs that are available. With 6.7 percent unemployment, it might seem that there must be a lot of slack in the U.S. economy, but there are reasons why that may not be true.”

Chair Yellen analyzes the view of inflation (http://www.federalreserve.gov/newsevents/speech/yellen20140416a.htm):

“Inflation, as measured by the price index for personal consumption expenditures, has slowed from an annual rate of about 2-1/2 percent in early 2012 to less than 1 percent in February of this year. This rate is well below the Committee's 2 percent longer-run objective. Many advanced economies are observing a similar softness in inflation.

To some extent, the low rate of inflation seems due to influences that are likely to be temporary, including a deceleration in consumer energy prices and outright declines in core import prices in recent quarters. Longer-run inflation expectations have remained remarkably steady, however. We anticipate that, as the effects of transitory factors subside and as labor market gains continue, inflation will gradually move back toward 2 percent.”

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

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

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

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

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

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

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

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

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

W = Y/r (10

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

The argument that anemic population growth causes “secular stagnation” in the US (Hansen 1938, 1939, 1941) is as misplaced currently as in the late 1930s (for early dissent see Simons 1942). There is currently population growth in the ages of 16 to 24 years but not enough job creation and discouragement of job searches for all ages (http://cmpassocregulationblog.blogspot.com/2014/04/global-financial-instability-recovery.html and earlier http://cmpassocregulationblog.blogspot.com/2014/03/global-financial-risks-recovery-without.html). This is merely another case of theory without reality with dubious policy proposals. The current reality is cyclical slow growth.

In delivering the biannual report on monetary policy (Board of Governors 2013Jul17), Chairman Bernanke (2013Jul17) advised Congress that:

“Instead, we are providing additional policy accommodation through two distinct yet complementary policy tools. The first tool is expanding the Federal Reserve's portfolio of longer-term Treasury securities and agency mortgage-backed securities (MBS); we are currently purchasing $40 billion per month in agency MBS and $45 billion per month in Treasuries. We are using asset purchases and the resulting expansion of the Federal Reserve's balance sheet primarily to increase the near-term momentum of the economy, with the specific goal of achieving a substantial improvement in the outlook for the labor market in a context of price stability. We have made some progress toward this goal, and, with inflation subdued, we intend to continue our purchases until a substantial improvement in the labor market outlook has been realized. We are relying on near-zero short-term interest rates, together with our forward guidance that rates will continue to be exceptionally low--our second tool--to help maintain a high degree of monetary accommodation for an extended period after asset purchases end, even as the economic recovery strengthens and unemployment declines toward more-normal levels. In appropriate combination, these two tools can provide the high level of policy accommodation needed to promote a stronger economic recovery with price stability.

The Committee's decisions regarding the asset purchase program (and the overall stance of monetary policy) depend on our assessment of the economic outlook and of the cumulative progress toward our objectives. Of course, economic forecasts must be revised when new information arrives and are thus necessarily provisional.”

Friedman (1953) argues there are three lags in effects of monetary policy: (1) between the need for action and recognition of the need; (2) the recognition of the need and taking of actions; and (3) taking of action and actual effects. Friedman (1953) finds that the combination of these lags with insufficient knowledge of the current and future behavior of the economy causes discretionary economic policy to increase instability of the economy or standard deviations of real income σy and prices σp. Policy attempts to circumvent the lags by policy impulses based on forecasts. We are all naïve about forecasting. Data are available with lags and revised to maintain high standards of estimation. Policy simulation models estimate economic relations with structures prevailing before simulations of policy impulses such that parameters change as discovered by Lucas (1977). Economic agents adjust their behavior in ways that cause opposite results from those intended by optimal control policy as discovered by Kydland and Prescott (1977). Advance guidance attempts to circumvent expectations by economic agents that could reverse policy impulses but is of dubious effectiveness. There is strong case for using rules instead of discretionary authorities in monetary policy (http://cmpassocregulationblog.blogspot.com/search?q=rules+versus+authorities). Jon Hilsenrath, writing on “New view into Fed’s response to crisis,” on Feb 21, 2014, published in the Wall Street Journal (http://online.wsj.com/news/articles/SB10001424052702303775504579396803024281322?mod=WSJ_hp_LEFTWhatsNewsCollection), analyzes 1865 pages of transcripts of eight formal and six emergency policy meetings at the Fed in 2008 (http://www.federalreserve.gov/monetarypolicy/fomchistorical2008.htm). If there were an infallible science of central banking, models and forecasts would provide accurate information to policymakers on the future course of the economy in advance. Such forewarning is essential to central bank science because of the long lag between the actual impulse of monetary policy and the actual full effects on income and prices many months and even years ahead (Romer and Romer 2004, Friedman 1961, 1953, Culbertson 1960, 1961, Batini and Nelson 2002). The transcripts of the Fed meetings in 2008 (http://www.federalreserve.gov/monetarypolicy/fomchistorical2008.htm) analyzed by Jon Hilsenrath demonstrate that Fed policymakers frequently did not understand the current state of the US economy in 2008 and much less the direction of income and prices. The conclusion of Friedman (1953) is that monetary impulses increase financial and economic instability because of lags in anticipating needs of policy, taking policy decisions and effects of decisions. This is a fortiori true when untested unconventional monetary policy in gargantuan doses shocks the economy and financial markets.

The key policy is maintaining fed funds rate between 0 and ¼ percent. An increase in fed funds rates could cause flight out of risk financial markets worldwide. There is no exit from this policy without major financial market repercussions. Indefinite financial repression induces carry trades with high leverage, risks and illiquidity. A competing event is the high level of valuations of risk financial assets (http://cmpassocregulationblog.blogspot.com/2013/01/peaking-valuation-of-risk-financial.html). Matt Jarzemsky, writing on “Dow industrials set record,” on Mar 5, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324156204578275560657416332.html), analyzes that the DJIA broke the closing high of 14,164.53 set on Oct 9, 2007, and subsequently also broke the intraday high of 14,198.10 reached on Oct 11, 2007. The DJIA closed at 16,512.89 on Fri May 2, 2014, which is higher by 16.6 percent than the value of 14,164.53 reached on Oct 9, 2007 and higher by 16.3 percent than the value of 14,198.10 reached on Oct 11, 2007. Values of risk financial are approaching or exceeding historical highs.

Jon Hilsenrath, writing on “Jobs upturn isn’t enough to satisfy Fed,” on Mar 8, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324582804578348293647760204.html), finds that much stronger labor market conditions are required for the Fed to end quantitative easing. Unconventional monetary policy with zero interest rates and quantitative easing is quite difficult to unwind because of the adverse effects of raising interest rates on valuations of risk financial assets and home prices, including the very own valuation of the securities held outright in the Fed balance sheet. Gradual unwinding of 1 percent fed funds rates from Jun 2003 to Jun 2004 by seventeen consecutive increases of 25 percentage points from Jun 2004 to Jun 2006 to reach 5.25 percent caused default of subprime mortgages and adjustable-rate mortgages linked to the overnight fed funds rate. The zero interest rate has penalized liquidity and increased risks by inducing carry trades from zero interest rates to speculative positions in risk financial assets. There is no exit from zero interest rates without provoking another financial crash.

The carry trade from zero interest rates to leveraged positions in risk financial assets had proved strongest for commodity exposures but US equities have regained leadership. The DJIA has increased 70.5 percent since the trough of the sovereign debt crisis in Europe on Jul 2, 2010 to May 2, 2014; S&P 500 has gained 84.0 percent and DAX 68.5 percent. Before the current round of risk aversion, almost all assets in the column “∆% Trough to 5/2/14” had double digit gains relative to the trough around Jul 2, 2010 followed by negative performance but now some valuations of equity indexes show varying behavior. China’s Shanghai Composite is 15.0 percent below the trough. Japan’s Nikkei Average is 63.8 percent above the trough. DJ Asia Pacific TSM is 24.6 percent above the trough. Dow Global is 48.1 percent above the trough. STOXX 50 of 50 blue-chip European equities (http://www.stoxx.com/indices/index_information.html?symbol=sx5E) is 29.6 percent above the trough. NYSE Financial Index is 49.4 percent above the trough. DJ UBS Commodities is 10.2 percent above the trough. DAX index of German equities (http://www.bloomberg.com/quote/DAX:IND) is 65.8 percent above the trough. Japan’s Nikkei Average is 63.8 percent above the trough on Aug 31, 2010 and 26.9 percent above the peak on Apr 5, 2010. The Nikkei Average closed at 14,457.51 on Fri May 2, 2014 (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata), which is 41.0 percent higher than 10,254.43 on Mar 11, 2011, on the date of the Tōhoku or Great East Japan Earthquake/tsunami. Global risk aversion erased the earlier gains of the Nikkei. The dollar depreciated by 16.4 percent relative to the euro and even higher before the new bout of sovereign risk issues in Europe. The column “∆% week to 5/2/14” in Table VI-4 shows decrease of 0.5 percent in the week for China’s Shanghai Composite. DJ Asia Pacific increased 0.1 percent. NYSE Financial increased 1.4 percent in the week. DJ UBS Commodities decreased 1.0 percent. Dow Global increased 1.0 percent in the week of May 2, 2014. The DJIA increased 0.9 percent and S&P 500 increased 1.0 percent. DAX of Germany increased 1.6 percent. STOXX 50 increased 1.6 percent. The USD depreciated 0.3 percent. There are still high uncertainties on European sovereign risks and banking soundness, US and world growth slowdown and China’s growth tradeoffs. Sovereign problems in the “periphery” of Europe and fears of slower growth in Asia and the US cause risk aversion with trading caution instead of more aggressive risk exposures. There is a fundamental change in Table VI-4 from the relatively upward trend with oscillations since the sovereign risk event of Apr-Jul 2010. Performance is best assessed in the column “∆% Peak to 5/2/14” that provides the percentage change from the peak in Apr 2010 before the sovereign risk event to May 2, 2014. Most risk financial assets had gained not only relative to the trough as shown in column “∆% Trough to 5/2/14” but also relative to the peak in column “∆% Peak to 5/2/14.” There are now several equity indexes above the peak in Table VI-4: DJIA 47.4 percent, S&P 500 54.5 percent, DAX 50.9 percent, Dow Global 20.9 percent, DJ Asia Pacific 9.1 percent, NYSE Financial Index (http://www.nyse.com/about/listed/nykid.shtml) 19.0 percent, Nikkei Average 26.9 percent and STOXX 50 9.8 percent. There is only one equity index below the peak: Shanghai Composite by 36.0 percent. DJ UBS Commodities Index is now 5.8 percent below the peak. The US dollar strengthened 8.3 percent relative to the peak. The factors of risk aversion have adversely affected the performance of risk financial assets. The performance relative to the peak in Apr 2010 is more important than the performance relative to the trough around early Jul 2010 because improvement could signal that conditions have returned to normal levels before European sovereign doubts in Apr 2010.

Tom Lauricella, writing on Mar 31, 2014, on “Stock investors see hints of a stronger quarter,” published in the Wall Street Journal (http://online.wsj.com/news/articles/SB10001424052702304157204579473513864900656?mod=WSJ_smq0314_LeadStory&mg=reno64-wsj), finds views of stronger earnings among many money managers with positive factors for equity markets in continuing low interest rates and US economic growth. There is important information in the Quarterly Markets review of the Wall Street Journal (http://online.wsj.com/public/page/quarterly-markets-review-03312014.html) foir IQ2014. Alexandra Scaggs, writing on “Tepid profits, roaring stocks,” on May 16, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323398204578487460105747412.html), analyzes stabilization of earnings growth: 70 percent of 458 reporting companies in the S&P 500 stock index reported earnings above forecasts but sales fell 0.2 percent relative to forecasts of increase of 0.5 percent. Paul Vigna, writing on “Earnings are a margin story but for how long,” on May 17, 2013, published in the Wall Street Journal (http://blogs.wsj.com/moneybeat/2013/05/17/earnings-are-a-margin-story-but-for-how-long/), analyzes that corporate profits increase with stagnating sales while companies manage costs tightly. More than 90 percent of S&P components reported moderate increase of earnings of 3.7 percent in IQ2013 relative to IQ2012 with decline of sales of 0.2 percent. Earnings and sales have been in declining trend. In IVQ2009, growth of earnings reached 104 percent and sales jumped 13 percent. Net margins reached 8.92 percent in IQ2013, which is almost the same at 8.95 percent in IIIQ2006. Operating margins are 9.58 percent. There is concern by market participants that reversion of margins to the mean could exert pressure on earnings unless there is more accelerated growth of sales. Vigna (op. cit.) finds sales growth limited by weak economic growth. Kate Linebaugh, writing on “Falling revenue dings stocks,” on Oct 20, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10000872396390444592704578066933466076070.html?mod=WSJPRO_hpp_LEFTTopStories), identifies a key financial vulnerability: falling revenues across markets for United States reporting companies. Global economic slowdown is reducing corporate sales and squeezing corporate strategies. Linebaugh quotes data from Thomson Reuters that 100 companies of the S&P 500 index have reported declining revenue only 1 percent higher in Jun-Sep 2012 relative to Jun-Sep 2011 but about 60 percent of the companies are reporting lower sales than expected by analysts with expectation that revenue for the S&P 500 will be lower in Jun-Sep 2012 for the entities represented in the index. Results of US companies are likely repeated worldwide. Future company cash flows derive from investment projects. In IQ1980, gross private domestic investment in the US was $951.6 billion of 2009 dollars, growing to $1,174.6 billion in IIIQ1987 or 23.4 percent. Real gross private domestic investment in the US decreased 0.1 percent from $2,605.2 billion of 2009 dollars in IVQ2007 to $2,602.0 billion in IQ2014. As shown in Table IAI-2, real private fixed investment fell 3.6 percent from $2,586.3 billion of 2009 dollars in IVQ2007 to $2,493.3 billion in IQ2014. Growth of real private investment in Table IA1-2 is mediocre for all but four quarters from IIQ2011 to IQ2012 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-uncertainty-mediocre-cyclical.html and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html). The investment decision of United States corporations has been fractured in the current economic cycle in preference of cash. 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 and $39.2 billion in IIIQ2013. Corporate profits with IVA and CCA increased $47.1 billion in IVQ2013. 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 and $39.5 billion in IIIQ2013. In IVQ2013, profits after tax with IVA and CCA increased $33.8 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. Net dividends fell at $179.0 billion in IIIQ2013 and increased at $90.5 billion in IVQ2013. 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 with IVA and CCA rose at $218.6 billion in IIIQ2013 and fell at $56.7 billion in IVQ2013. Undistributed profits of US corporations swelled 375.4 percent from $107.7 billion IQ2007 to $512.0 billion in IVQ2013 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. Corporate profits with IVA and CCA increased $39.2 billion from $2087.4 billion in IIQ2013 to $2126.6 billion in IIIQ2013 at the annual rate of 1.9 percent. Corporate profits with IVA and CCA increased at $47.1 billion in IVQ2013 from $2126.6 billion in IIIQ2013 to $2173.7 billion in IVQ2013 (http://www.bea.gov/newsreleases/national/gdp/2014/pdf/gdp4q13_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. The investment decision of US business is fractured. The basic valuation equation that is also used in capital budgeting postulates that the value of stocks or of an investment project is given by:

clip_image019

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

clip_image020

declines. Equally, decline in expected revenue from the stock or project, Rτ, causes decline in valuation. An intriguing issue is the difference in performance of valuations of risk financial assets and economic growth and employment. Paul A. Samuelson (http://www.nobelprize.org/nobel_prizes/economics/laureates/1970/samuelson-bio.html) popularized the view of the elusive relation between stock markets and economic activity in an often-quoted phrase “the stock market has predicted nine of the last five recessions.” In the presence of zero interest rates forever, valuations of risk financial assets are likely to differ from the performance of the overall economy. The interrelations of financial and economic variables prove difficult to analyze and measure.

Table VI-4, Stock Indexes, Commodities, Dollar and 10-Year Treasury  

 

Peak

Trough

∆% to Trough

∆% Peak to 5/2/

/14

∆% Week 5/2/14

∆% Trough to 5/2/

14

DJIA

4/26/
10

7/2/10

-13.6

47.4

0.9

70.5

S&P 500

4/23/
10

7/20/
10

-16.0

54.5

1.0

84.0

NYSE Finance

4/15/
10

7/2/10

-20.3

19.0

1.4

49.4

Dow Global

4/15/
10

7/2/10

-18.4

20.9

1.0

48.1

Asia Pacific

4/15/
10

7/2/10

-12.5

9.1

0.1

24.6

Japan Nikkei Aver.

4/05/
10

8/31/
10

-22.5

26.9

0.2

63.8

China Shang.

4/15/
10

7/02
/10

-24.7

-36.0

-0.5

-15.0

STOXX 50

4/15/10

7/2/10

-15.3

9.8

1.6

29.6

DAX

4/26/
10

5/25/
10

-10.5

50.9

1.6

68.5

Dollar
Euro

11/25 2009

6/7
2010

21.2

8.3

-0.3

-16.4

DJ UBS Comm.

1/6/
10

7/2/10

-14.5

-5.8

-1.0

10.2

10-Year T Note

4/5/
10

4/6/10

3.986

2.784

2.583

 

T: trough; Dollar: positive sign appreciation relative to euro (less dollars paid per euro), negative sign depreciation relative to euro (more dollars paid per euro)

Source: http://professional.wsj.com/mdc/page/marketsdata.html?mod=WSJ_hps_marketdata

ESII Mediocre Cyclical United States Economic Growth with GDP Two Trillion Dollars below Trend. 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. The US maintained growth at 3.0 percent on average over entire cycles with expansions at higher rates compensating for contractions. US economic growth has been at only 2.2 percent on average in the cyclical expansion in the 19 quarters from IIIQ2009 to IQ2014. Boskin (2010Sep) measures that the US economy grew at 6.2 percent in the first four quarters and 4.5 percent in the first 12 quarters after the trough in the second quarter of 1975; and at 7.7 percent in the first four quarters and 5.8 percent in the first 12 quarters after the trough in the first quarter of 1983 (Professor Michael J. Boskin, Summer of Discontent, Wall Street Journal, Sep 2, 2010 http://professional.wsj.com/article/SB10001424052748703882304575465462926649950.html). There are new calculations using the revision of US GDP and personal income data since 1929 by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm) and the first estimate of GDP for IQ2014 (http://www.bea.gov/newsreleases/national/gdp/2014/pdf/gdp1q14_adv.pdf). The average of 7.7 percent in the first four quarters of major cyclical expansions is in contrast with the rate of growth in the first four quarters of the expansion from IIIQ2009 to IIQ2010 of only 2.7 percent obtained by diving GDP of $14,738.0 billion in IIQ2010 by GDP of $14,356.9 billion in IIQ2009 {[$14,738.0/$14,356.9 -1]100 = 2.7%], or accumulating the quarter on quarter growth rates (Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-uncertainty-mediocre-cyclical.html). The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.9 percent, 5.4 percent from IQ1983 to IIIQ1986, 5.2 percent from IQ1983 to IVQ1986, 5.0 percent from IQ1983 to IQ1987, 5.0 percent from IQ1983 to IIQ1987, 4.9 percent from IQ1983 to IIIQ1987 and at 7.8 percent from IQ1983 to IVQ1983 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html). The US maintained growth at 3.0 percent on average over entire cycles with expansions at higher rates compensating for contractions. Growth under trend in the entire cycle from IVQ2007 to IQ2014 would have accumulated to 21.2 percent. GDP in IQ2014 would be $18,172.7 billion if the US had grown at trend, which is higher by $2,226.1 billion than actual $15,946.6 billion. There are about two trillion dollars of GDP less than under trend, explaining the 27.4 million unemployed or underemployed equivalent to actual unemployment of 16.8 percent of the effective labor force (Section II and earlier http://cmpassocregulationblog.blogspot.com/2014/04/interest-rate-risks-twenty-eight.html). US GDP grew from $14,996.1 billion in IVQ2007 in constant dollars to $15,946.6 billion in IQ2014 or 6.3 percent at the average annual equivalent rate of 1.0 percent. The US missed the opportunity to grow at higher rates during the expansion and it is difficult to catch up because growth rates in the final periods of expansions tend to decline. The US missed the opportunity for recovery of output and employment always afforded in the first four quarters of expansion from recessions. Zero interest rates and quantitative easing were not required or present in successful cyclical expansions and in secular economic growth at 3.0 percent per year and 2.0 percent per capita as measured by Lucas (2011May). There is cyclical uncommonly slow growth in the US instead of allegations of secular stagnation. The economy of the US can be summarized in growth of economic activity or GDP as decelerating from mediocre growth of 2.5 percent on an annual basis in 2010 to 1.8 percent in 2011, 2.8 percent in 2012 and 1.9 percent in 2013. The following calculations show that actual growth is around 2.0 to 2.3 percent per year. The rate of growth of 1.0 percent in the entire cycle from 2007 to 2013 is well below 3 percent per year in trend from 1870 to 2010, which the economy of the US always attained for entire cycles in expansions after events such as wars and recessions (Lucas 2011May). Revisions and enhancements of United States GDP and personal income accounts by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm) provide important information on long-term growth and cyclical behavior. Table Summary provides relevant data.

  1. Long-term. US GDP grew at the average yearly rate of 3.3 percent from 1929 to 2013 and at 3.2 percent from 1947 to 2013. There were periodic contractions or recessions in this period but the economy grew at faster rates in the subsequent expansions, maintaining long-term economic growth at trend.
  2. Whole Cycles. Long-term growth was around 3.0 percent per year during entire cycles including contractions and expansions. The average growth rate of GDP was 3.5 percent per year in the entire cycle from 1980 to 1989 but only 1.0 percent in the entire cycle from 2007 to 2013.
  3. Cycles. The combined contraction of GDP in the two almost consecutive recessions in the early 1980s is 4.7 percent. The contraction of US GDP from IVQ2007 to IIQ2009 during the global recession was 4.3 percent. The critical difference in the expansion is growth at average 7.8 percent in annual equivalent in the first four quarters of recovery from IQ1983 to IVQ1983. The average rate of growth of GDP in four cyclical expansions in the postwar period is 7.7 percent. In contrast, the rate of growth in the first four quarters from IIIQ2009 to IIQ2010 was only 2.7 percent. Average annual equivalent growth in the expansion from IQ1983 to IVQ1985 was 5.9 percent and 4.9 percent from IQ1983 to IIIQ1987. In contrast, average annual equivalent growth in the expansion from IIIQ2009 to IQ2014 was only 2.2 percent. The US appears to have lost its dynamism of income growth and employment creation.

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

 

GDP

 

Long-Term

   

1929-2013

3.3

 

1947-2013

3.2

 

Whole Cycles

   

1980-1989

3.5

 

2006-2013

1.1

 

2007-2013

1.0

 

Cyclical Contractions ∆%

   

IQ1980 to IIIQ1980, IIIQ1981 to IVQ1982

-4.7

 

IVQ2007 to IIQ2009

-4.3

 

Cyclical Expansions Average Annual Equivalent ∆%

   

IQ1983 to IVQ1985

IQ1983-IQ1986

IQ1983-IIIQ1986

IQ1983-IVQ1986

IQ1983-IQ1987

IQ1983-IIQ1987

IQ1983-IIIQ1987

5.9

5.7

5.4

5.2

5.0

5.0

4.9

 

First Four Quarters IQ1983 to IVQ1983

7.8

 

IIIQ2009 to IQ2014

2.2

 

First Four Quarters IIIQ2009 to IIQ2010

2.7

 
 

Real Disposable Income

Real Disposable Income per Capita

Long-Term

   

1929-2013

3.2

2.0

1947-1999

3.7

2.3

Whole Cycles

   

1980-1989

3.5

2.6

2006-2013

1.3

0.5

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

The revisions and enhancements of United States GDP and personal income accounts by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm) also provide critical information in assessing the current rhythm of US economic growth. The economy appears to be moving at a pace from 2.0 to 2.3 percent per year. Table Summary GDP provides the data.

1. Average Annual Growth in the Past Eight Quarters. GDP growth in the four quarters of 2012, the four quarters of 2013 and the first quarter of 2014 accumulated to 4.6 percent. This growth is equivalent to 2.0 percent per year, obtained by dividing GDP in IQ2014 of $15,946.6 billion by GDP in IVQ2011 of $15,242.1 billion and compounding by 4/9: {[($15,946.6/$15,242.1)4/9 -1]100 = 2.0 percent.

2. Average Annual Growth in the Four Quarters of 2013. GDP growth in the four quarters of IQ2013 to IQ2014 accumulated to 2.3 percent that is equivalent to 2.3 percent in a year. This is obtained by dividing GDP in IQ2014 of $15,946.6 billion by GDP in IQQ2013 of $15,583.9 billion and compounding by 4/4: {[($15,946.6/$15,583.9)4/4 -1]100 = 2.3%}. The US economy grew 2.3 percent in IQQ2014 relative to the same quarter a year earlier in IQ2013. Another important revelation of the revisions and enhancements is that GDP was flat in IVQ2012 and in IQ2014, which is just at the borderline of contraction. The rate of growth of GDP in the third estimate of IIIQ2013 is 4.1 percent in seasonally adjusted annual rate (SAAR). Inventory accumulation contributed 1.67 percentage points to this rate of growth. The actual rate without this impulse of unsold inventories would have been 2.43 percent, or 0.6 percent in IIIQ2013, such that annual equivalent growth in 2013 is closer to 2.2 percent {[(1.003)(1.006)(1.006)(1.007)4/4-1]100 = 2.2%}, compounding the quarterly rates and converting into annual equivalent.

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

 

Real GDP, Billions Chained 2009 Dollars

∆% Relative to IVQ2007

∆% Relative to Prior Quarter

∆%
over
Year Earlier

IVQ2007

14,996.1

NA

NA

1.9

IVQ2011

15,242.1

1.6

1.2

2.0

IQ2012

15,381.6

2.6

0.9

3.3

IIQ2012

15,427.7

2.9

0.3

2.8

IIIQ2012

15,534.0

3.6

0.7

3.1

IVQ2012

15,539.6

3.6

0.0

2.0

IQ2013

15,583.9

3.9

0.3

1.3

IIQ2013

15,679.7

4.6

0.6

1.6

IIIQ2013

15,839.3

5.6

1.0

2.0

IVQ2013

15,942.3

6.3

0.7

2.6

IQ2014

15,946.6

6.3

0.0

2.3

Cumulative ∆% IQ2012 to IQ2014

4.6

 

4.6

 

Annual Equivalent ∆%

2.0

 

2.0

 

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

ESIII 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. US economic growth has been at only 2.2 percent on average in the cyclical expansion in the 19 quarters from IIIQ2009 to IQ2014. Boskin (2010Sep) measures that the US economy grew at 6.2 percent in the first four quarters and 4.5 percent in the first 12 quarters after the trough in the second quarter of 1975; and at 7.7 percent in the first four quarters and 5.8 percent in the first 12 quarters after the trough in the first quarter of 1983 (Professor Michael J. Boskin, Summer of Discontent, Wall Street Journal, Sep 2, 2010 http://professional.wsj.com/article/SB10001424052748703882304575465462926649950.html). There are new calculations using the revision of US GDP and personal income data since 1929 by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm) and the first estimate of GDP for IQ2014 (http://www.bea.gov/newsreleases/national/gdp/2014/pdf/gdp1q14_adv.pdf). The average of 7.7 percent in the first four quarters of major cyclical expansions is in contrast with the rate of growth in the first four quarters of the expansion from IIIQ2009 to IIQ2010 of only 2.7 percent obtained by diving GDP of $14,738.0 billion in IIQ2010 by GDP of $14,356.9 billion in IIQ2009 {[$14,738.0/$14,356.9 -1]100 = 2.7%], or accumulating the quarter on quarter growth rates (Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-uncertainty-mediocre-cyclical.html). The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.9 percent, 5.4 percent from IQ1983 to IIIQ1986, 5.2 percent from IQ1983 to IVQ1986, 5.0 percent from IQ1983 to IQ1987, 5.0 percent from IQ1983 to IIQ1987, 4.9 percent from IQ1983 to IIIQ1987 and at 7.8 percent from IQ1983 to IVQ1983 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html). The US maintained growth at 3.0 percent on average over entire cycles with expansions at higher rates compensating for contractions. Growth under trend in the entire cycle from IVQ2007 to IQ2014 would have accumulated to 21.2 percent. GDP in IQ2014 would be $18,172.7 billion if the US had grown at trend, which is higher by $2,226.1 billion than actual $15,946.6 billion. There are about two trillion dollars of GDP less than under trend, explaining the 27.4 million unemployed or underemployed equivalent to actual unemployment of 16.8 percent of the effective labor force (Section II and earlier http://cmpassocregulationblog.blogspot.com/2014/04/interest-rate-risks-twenty-eight.html). US GDP grew from $14,996.1 billion in IVQ2007 in constant dollars to $15,946.6 billion in IQ2014 or 6.3 percent at the average annual equivalent rate of 1.0 percent. The US missed the opportunity to grow at higher rates during the expansion and it is difficult to catch up because growth rates in the final periods of expansions tend to decline. The US missed the opportunity for recovery of output and employment always afforded in the first four quarters of expansion from recessions. Zero interest rates and quantitative easing were not required or present in successful cyclical expansions and in secular economic growth at 3.0 percent per year and 2.0 percent per capita as measured by Lucas (2011May). There is cyclical uncommonly slow growth in the US instead of allegations of secular stagnation.

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. 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 eighteen quarters of cyclical expansion from IIIQ2009 to IVQ2013. 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 and fell to 5.9 percent in IIIQ2013. The SAAR of fixed investment fell to 2.8 percent in IVQ2013. Fixed investment fell at the SAAR of 2.8 percent in IVQ2014. 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.

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

   

5.9

IV

     

-0.2

   

2.8

       

1988

 

2014

 

I

     

0.2

   

-2.8

II

     

8.1

     

III

     

1.9

     

IV

     

4.8

     

Source: US Bureau of Economic Analysis http://www.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 1987. 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_image021

Chart IA1-1, US, Real Private Fixed Investment, Seasonally-Adjusted Annual Rates Percent Change from Prior Quarter, 1981-1987

Source: US Bureau of Economic Analysis

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

Weak behavior of real private fixed investment from 2007 to 2014 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_image022

Chart IA1-2, US, Real Private Fixed Investment, Seasonally-Adjusted Annual Rates Percent Change from Prior Quarter, 2007-2014

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 IQ2014 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 $1,174.6 billion in IIIQ1987 or 23.4 percent. Real gross private domestic investment in the US decreased 0.1 percent from $2,605.2 billion of 2009 dollars in IVQ2007 to $2,602.0 billion in IQ2014. As shown in Table IAI-2, real private fixed investment fell 3.6 percent from $2,586.3 billion of 2009 dollars in IVQ2007 to $2,493.3 billion in IQ2014. 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 2009 Dollars and ∆%

 

Real PFI, Billions Chained 2009 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

IIIQ2013

2,494.0

-3.6

1.4

5.5

IVQ2013

2,511.2

-2.9

0.7

3.4

IQ2014

2,493.3

-3.6

-0.7

3.0

PFI: Private Fixed Investment

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

Chart IA1-3 provides real private fixed investment in billions of chained 2009 dollars from IQ2007 to IQ2014. Real private fixed investment has not recovered, stabilizing at a level in IQ2014 that is 3.6 percent below the level in IVQ2007.

clip_image023

Chart IA1-3, US, Real Private Fixed Investment, Billions of Chained 2009 Dollars, IQ2007 to IQ2014

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 1987. Real gross private domestic investment climbed 23.4 percent to $1174.6 billion of 2009 dollars in IIIQ1987 above the level of $951.6 billion in IQ1980.

clip_image024

Chart IA1-4, US, Real Gross Private Domestic Investment, Billions of Chained 2009 Dollars at Seasonally Adjusted Annual Rate, 1980-1987

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 2014. Gross private domestic investment reached a level of $2602.0 in IQ2014, which was 0.1 percent higher than the level of $2605.2 billion in IVQ2007 (http://www.bea.gov/iTable/index_nipa.cfm).

clip_image025

Chart IA1-5, US, Real Gross Private Domestic Investment, Billions of Chained 2009 Dollars at Seasonally Adjusted Annual Rate, 2007-2014

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 IQ2014, IQ2006 and IQ2000. The share of gross private domestic investment in GDP has fallen from 19.2 percent in IQ2000 and 19.8 percent in IQ2006 to 16.0 percent in IQ2014. There are declines in percentage shares in GDP of all components with sharp reduction of residential investment from 4.8 percent in IQ2000 and 6.6 percent in IQ2006 to 3.1 percent in IQ2014. The share of fixed investment in GDP fell from 19.2 percent in IQ2000 and 19.2 percent in IQ2006 to 15.3 percent in IQ2014.

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

 

IQ2014

IQ2006

IQ2000

Gross Private Domestic Investment

16.0

19.8

19.4

  Fixed Investment

15.3

19.2

19.2

     Nonresidential

12.2

12.7

14.4

          Structures

2.8

2.8

3.0

          Equipment

          and Software

5.5

6.2

7.5

          Intellectual
           Property

3.9

3.6

4.0

     Residential

3.1

6.6

4.8

   Change in Private Inventories

0.7

0.5

0.2

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

ESIV Stagnating Real Disposable Income. 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/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 2013 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 2.3 percent for real disposable income on average from 1999 to 2013 and 1.4 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 1.3 percent on average from 2006 to 2013 and real disposable income per capita at 0.5 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. Cyclical uncommonly slow growth explains weakness in the current whole cycle instead of the allegation of secular stagnation.

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

RDPI Average ∆%

 

     1929-2013

3.2

     1947-1999

3.7

     1999-2013

2.3

     1999-2006

3.2

     1980-1989

3.5

     2006-2013

1.3

RDPIPC Average ∆%

 

     1929-2013

2.0

     1947-1999

2.3

     1999-2013

1.4

     1999-2006

2.2

     1980-1989

2.6

     2006-2013

0.5

Source: Bureau of Economic Analysis http://www.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.

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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 10.7 percent and real disposable personal income at 9.0 percent (Table 6 at http://www.bea.gov/newsreleases/national/pi/2014/pdf/pi0314.pdf) The BEA explains as follows: “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/2014/pdf/pi0314.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 4.7 percent, real personal income excluding current transfer receipts at 5.6 percent and real disposable income at 4.1 percent (http://www.bea.gov/newsreleases/national/pi/2014/pdf/pi0314.pdf). In IIIQ2013, personal income grew at 4.0 percent, real personal income excluding current transfers at 1.9 percent and real disposable income at 3.0 percent (Table 6 at http://www.bea.gov/newsreleases/national/pi/2014/pdf/pi0314.pdf ). In IVQ2013, personal income grew at 2.2 percent and real disposable income at 0.8 percent (Table 6 at http://www.bea.gov/newsreleases/national/pi/2014/pdf/pi0314.pdf). In IQ2014, personal income grew at 3.5 percent in nominal terms and 1.1 percent in real terms excluding current transfer receipts while nominal disposable income grew at 3.3 percent and real disposable income at 1.9 percent (http://www.bea.gov/newsreleases/national/pi/2014/pdf/pi0314.pdf).

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Chart IB-4, US, Personal Income, Current Billions of Dollars, Quarterly Seasonally Adjusted at Annual Rates, 2007-2014

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 (http://www.bea.gov/newsreleases/national/pi/2014/pdf/pi0314.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 4.7 percent, real personal income excluding current transfer receipts at 5.6 percent and real disposable income at 4.1 percent. In IIIQ2013, personal income increased at 4.0 percent, real personal income excluding current transfer receipts at 1.9 percent and real disposable income at 3.0 percent (http://www.bea.gov/newsreleases/national/pi/2014/pdf/pi0314.pdf). In IVQ2013, personal income increased at 2.2 percent, real personal income excluding current transfers at 1.5 percent and real disposable personal income at 0.8 percent (http://www.bea.gov/newsreleases/national/pi/2014/pdf/pi0314.pdf). In IQ2014, nominal personal income increased at 3.5 percent, real personal income excluding current transfers at 1.1 percent and real disposable personal income at 1.9 percent (http://www.bea.gov/newsreleases/national/pi/2014/pdf/pi0314.pdf).

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Chart IB-6, US, Real Disposable Income, Billions of Chained 2009 Dollars, Quarterly Seasonally Adjusted at Annual Rates, 2007-2014

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/2014/pdf/pi0314.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). 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.”

Personal income fell at 4.1 percent in IQ2013, nominal disposable personal income fell at 7.0 percent while real disposable income fell at 7.2 percent. In IIQ2013, personal income increased at 4.7 percent, real personal income excluding current transfer receipts at 5.6 percent and real disposable income at 4.1 percent. In IIIQ2013, personal income increased at 4.0 percent, real personal income excluding current transfer receipts at 1.9 percent and real disposable income at 3.0 percent. In IVQ2013, nominal personal income increased at 2.2 percent, nominal disposable income at 1.8 percent, real personal income excluding current transfers at 1.5 percent and real disposable income at 0.8 percent. In IVQ2014, nominal personal income grew at 3.5 percent, nominal disposable income at 3.3 percent, real personal income excluding current transfers at 1.1 percent and real disposable personal income at 1.9 percent.

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Chart, IB-8, US, Real Disposable Income, Percentage Change from Preceding Period at Seasonally-Adjusted Annual Rates, 2007-2014

Source: US Bureau of Economic Analysis

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

The Bureau of Economic Analysis (BEA) estimates US personal income in Mar 2014 at the seasonally adjusted annual rate of $14,496.2 billion, as shown in Table IB-3 above (see Table 1 at http://www.bea.gov/newsreleases/national/pi/2014/pdf/pi0314.pdf). The major portion of personal income is compensation of employees of $9,080.6 billion, or 62.6 percent of the total. Wages and salaries are $7,328.1 billion, of which $6,122.9 billion by private industries and supplements to wages and salaries of $1,752.5 billion (employer contributions to pension and insurance funds are $1,208.3 billion and contributions to social insurance are $544.3 billion). In Sep 1987 (at the comparable end of the 19th quarter of cyclical expansion), US personal income was $4,005.4 billion at SAAR (http://www.bea.gov/iTable/index_nipa.cfm). Compensation of employees was $2,756.4 billion, or 68.8 percent of the total. Wages and salaries were $2,383.2 billion of which $1857.6 billion by private industries. Supplements to wages and salaries were $473.2 billion with employer contributions to pension and insurance funds of $305.6 billion and $167.6 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 IB-10 shows US wages and salaries of private industries from 2007 to 2014. There is a drop during the contraction followed by initial recovery in 2010 and then the current much weaker relative performance in 2011, 2012, 2013 and 2014.

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Chart IB-10, US, Wages and Salaries, Private Industries, Quarterly, Seasonally Adjusted at Annual Rates, Billions of Dollars 2007-2014

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. Anticipations of income in late 2012 to avoid tax increases in 2013 cloud comparisons.

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Chart IB-11, US, Wages and Salaries, Private Industries, Monthly, Seasonally Adjusted at Annual Rates, Billions of Dollars 2007-2014

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, Chained 2009 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 income per capita from 2007 to 2014. There was initial recovery from the drop during the global recession followed by stagnation. Real per capita disposable income increased 1.2 percent from $36,584 in chained dollars of 2009 in Oct 2012 to $37,035 in Nov 2012 and 3.1 percent to $38,175 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 $38,175 in Dec 2012 to $36,195 in Jan 2013, increasing marginally 0.9 percent to $36,503 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 $36,503 in Feb 2013 in chained dollars of 2009 to $36,633 in Mar 2013 for cumulative increase of 0.1 percent relative to Oct 2012. Real per capita disposable income increased to $36,794 in May 2013 for gain of 0.2 percent relative to $36,715 in Apr 2013 and 0.6 percent from Oct 2012. Real disposable per capita income eased to $36,743 in Jun 2013 for decrease of 0.1 percent relative to May 2013 and increase of 0.4 percent relative to Oct 2012. Real disposable income per capita increased 0.2 percent from $36,743 in Jun 2013 to $36,801 in Jul 2013 and 0.6 percent relative to $36,580 in Oct 2013. Real per capita disposable income increased to $36,966 in Aug 2013 or 0.4 percent higher than in Jul 2013 and 1.0 percent above Oct 2012. Real per capita disposable income increased 0.3 percent from $36,966 in Aug 2013 to $37,076 in Sep 2013 and increased 1.3 percent relative to $36,584 in Oct 2012. Real per capita disposable income decreased 0.3 percent from $37,076 in Sep 2013 to $36,976 in Oct 2013 and increased 1.1 percent relative to $36,584 in Oct 2012. Real per capita disposable income increased 0.1 percent from $36,976 in Oct 2013 to $36,995 in Nov 2013 and increased 1.1 percent relative to $36,584 in Oct 2012. Real per capita income fell 0.3 percent in Dec 2013 to $36,875 and increased 0.8 percent from $36,584 in Oct 2012. Real disposable income per capita fell 0.3 percent from $36,995 in Nov 2013 to $36,875 in Dec 2013 and increased 0.8 percent from $36,584 in Oct 2012. Real disposable income fell 3.4 percent from $38,175 in Dec 2012 to $36,875 in Dec 2013, largely because of anticipations of income in late 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.”

Real disposable per capita income increased 0.2 from $36,875 in Dec 2013 to $36,961 in Jan 2014 and an additional 0.3 percent to $37,056 in Feb 2014. Real disposable income per capita increased 1.3 percent from $36,584 in Oct 2012 to $37,056 in Feb 2014. Real disposable income per capita increased 0.3 percent from $37,056 in Feb 2014 to $37,166 in Mar 2014 and 1.6 percent relative to $36,584 in Oct 2012.

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Chart IB-13, US, Real Disposable Per Capita Income, Monthly, Seasonally Adjusted at Annual Rates, Chained 2009 Dollars 2007-2014

Source: US Bureau of Economic Analysis

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

ESV 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; for historical analysis see Pelaez 1975). Excessive official regulation frustrates financial development required for growth (Haber 2011). Emphasis on disclosure can reduce bank fragility and corruption, empowering investors to enforce sound governance (Barth, Caprio and Levine 2006). 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 1.5 percent in the 12 months ending in Mar 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/2014/04/imf-view-world-inflation-waves-squeeze.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 2014. 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 4.6 percent in Apr 2013 with increase of real disposable income by 0.3 percent. The savings rate rose to 4.8 percent in May 2013 with increase of real disposable income by 0.3 percent. The savings rate fell to 4.6 percent in Jun 2013 with decline of real disposable personal income by 0.1 percent. The savings rate increased to 4.7 percent in Jul 2013 with increase of real disposable income by 0.2 percent. In Aug 2013, real disposable income increased 0.5 percent and the savings rate increased to 4.9 percent. In Sep 2013, the savings rate increased to 5.1 percent with increase of real disposable income of 0.4 percent. The savings rate fell to 4.6 percent in Oct 2013 with decrease of real disposable income by 0.2 percent. The savings rate fell to 4.3 percent in Nov 2013 with increase of real disposable income of 0.1 percent. In Dec 2013, the savings rate fell to 4.1 percent with decrease 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). The savings rate increased at 4.3 percent in Jan 2014 with increase of real disposable income by 0.3 percent. The savings rate decreased to 4.2 percent in Feb 2014 with increase of real disposable income by 0.3 percent. The savings rate fell to 3.8 percent in Mar 2014 with increase of real disposable income of 0.3 percent. 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 (http://cmpassocregulationblog.blogspot.com/2014/03/interest-rate-risks-world-inflation.html).

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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-14A provides the US personal savings rate, or personal savings as percent of disposable personal income, on an annual basis from 1929 to 2013. The US savings rate shows decline from around 10 percent in the 1960 to less than 5 percent currently.

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Chart IB-14A, US, Personal Savings as a Percentage of Disposable Personal Income, Annual, 1929-2013

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 Mar 2014. 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 $38,175 in Dec 2012 to $36,195 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 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 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 4.6 percent in Apr 2013 with increase of real disposable income by 0.3 percent. The savings rate rose to 4.8 percent in May 2013 with increase of real disposable income by 0.3 percent. The savings rate fell to 4.6 percent in Jun 2013 with decline of real disposable personal income by 0.1 percent. The savings rate increased to 4.7 percent in Jul 2013 with increase of real disposable income by 0.2 percent. In Aug 2013, real disposable income increased 0.5 percent and the savings rate increased to 4.9 percent. In Sep 2013, the savings rate increased to 5.1 percent with increase of real disposable income of 0.4 percent. The savings rate fell to 4.6 percent in Oct 2013 with decrease of real disposable income by 0.2 percent. The savings rate fell to 4.3 percent in Nov 2013 with increase of real disposable income of 0.1 percent. In Dec 2013, the savings rate fell to 4.1 percent with decrease 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). The savings rate increased at 4.3 percent in Jan 2014 with increase of real disposable income by 0.3 percent. The savings rate decreased to 4.2 percent in Feb 2014 with increase of real disposable income by 0.3 percent. The savings rate fell to 3.8 percent in Mar 2014 with increase of real disposable income of 0.3 percent. 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 (http://cmpassocregulationblog.blogspot.com/2014/03/interest-rate-risks-world-inflation.html).

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.

clip_image039

Chart IB-15, US, Personal Savings as a Percentage of Disposable Income, Monthly 2007-2014

Source: US Bureau of Economic Analysis

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

ESVI Twenty Seven Million Unemployed or Underemployed. Table I-4 consists of data and additional calculations using the BLS household survey, illustrating the possibility that the actual rate of unemployment could be 11.0 percent and the number of people in job stress could be around 27.4 million, which is 16.8 percent of the effective labor force. The first column provides for 2006 the yearly average population (POP), labor force (LF), participation rate or labor force as percent of population (PART %), employment (EMP), employment population ratio (EMP/POP %), unemployment (UEM), the unemployment rate as percent of labor force (UEM/LF Rate %) and the number of people not in the labor force (NLF). All data are unadjusted or not-seasonally-adjusted (NSA). The numbers in column 2006 are averages in millions while the monthly numbers for Apr 2013, Mar 2014 and Apr 2014 are in thousands, not seasonally adjusted. The average yearly participation rate of the population in the labor force was in the range of 66.0 percent minimum to 67.1 percent maximum between 2000 and 2006 with the average of 66.4 percent (ftp://ftp.bls.gov/pub/special.requests/lf/aa2006/pdf/cpsaat1.pdf). Table I-4b provides the yearly labor force participation rate from 1979 to 2014. The objective of Table I-4 is to assess how many people could have left the labor force because they do not think they can find another job. Row “LF PART 66.2 %” applies the participation rate of 2006, almost equal to the rates for 2000 to 2006, to the noninstitutional civilian population in Apr 2013, Mar 2014 and Apr 2014 to obtain what would be the labor force of the US if the participation rate had not changed. In fact, the participation rate fell to 63.1 percent by Apr 2013 and was 62.9 percent in Mar 2014 and 62.6 percent in Apr 2014, suggesting that many people simply gave up on finding another job. Row “∆ NLF UEM” calculates the number of people not counted in the labor force because they could have given up on finding another job by subtracting from the labor force with participation rate of 66.2 percent (row “LF PART 66.2%”) the labor force estimated in the household survey (row “LF”). Total unemployed (row “Total UEM”) is obtained by adding unemployed in row “∆NLF UEM” to the unemployed of the household survey in row “UEM.” The row “Total UEM%” is the effective total unemployed “Total UEM” as percent of the effective labor force in row “LF PART 66.2%.” The results are that:

  • there are an estimated 8.960 million unemployed in Apr 2014 who are not counted because they left the labor force on their belief they could not find another job (∆NLF UEM), that is, they dropped out of their job searches
  • the total number of unemployed is effectively 18.039 million (Total UEM) and not 9.079 million (UEM) of whom many have been unemployed long term
  • the rate of unemployment is 11.0 percent (Total UEM%) and not 5.9 percent, not seasonally adjusted, or 6.3 percent seasonally adjusted
  • the number of people in job stress is close to 27.4 million by adding the 8.960 million leaving the labor force because they believe they could not find another job.

The row “In Job Stress” in Table I-4 provides the number of people in job stress not seasonally adjusted at 27.442 million in Apr 2014, adding the total number of unemployed (“Total UEM”), plus those involuntarily in part-time jobs because they cannot find anything else (“Part Time Economic Reasons”) and the marginally attached to the labor force (“Marginally attached to LF”). The final row of Table I-4 shows that the number of people in job stress is equivalent to 16.8 percent of the labor force in Apr 2014. The employment population ratio “EMP/POP %” dropped from 62.9 percent on average in 2006 to 58.6 percent in Apr 2013, 58.7 percent in Mar 2014 and 58.9 percent in Apr 2014. The number employed in Apr 2014 was 145.767 million (NSA) or 1.548 million fewer people with jobs relative to the peak of 147.315 million in Jul 2007 while the civilian noninstitutional population of ages 16 years and over increased from 231.958 million in Jul 2007 to 247.439 million in Apr 2014 or by 15.481 million. The number employed fell 1.1 percent from Jul 2007 to Apr 2014 while the noninstitutional civilian population of ages of 16 years and over, or those available for work, increased 6.7 percent. There is actually not sufficient job creation in merely absorbing new entrants in the labor force because of those dropping from job searches, worsening the stock of unemployed or underemployed in involuntary part-time jobs.

The argument that anemic population growth causes “secular stagnation” in the US (Hansen 1938, 1939, 1941) is as misplaced currently as in the late 1930s (for early dissent see Simons 1942). There is currently population growth in the ages of 16 to 24 years but not enough job creation and discouragement of job searches for all ages (http://cmpassocregulationblog.blogspot.com/2014/04/global-financial-instability-recovery.html). This is merely another case of theory without reality with dubious policy proposals. The number of hiring relative to the number unemployed measures the chances of becoming employed. The number of hiring in the US economy has declined by 10 million and does not show signs of increasing in an unusual recovery without hiring (http://cmpassocregulationblog.blogspot.com/2014/04/global-financial-instability-recovery.html). The US missed the opportunity for recovery of output and employment always afforded in the first four quarters of expansion from recessions. Zero interest rates and quantitative easing were not required or present in successful cyclical expansions and in secular economic growth at 3.0 percent per year and 2.0 percent per capita as measured by Lucas (2011May). The US maintained growth at 3.0 percent on average over entire cycles with expansions at higher rates compensating for contractions. Growth under trend in the entire cycle from IVQ2007 to IQ2014 would have accumulated to 21.2 percent. GDP in IQ2014 would be $18,172.7 billion if the US had grown at trend, which is higher by $2,226.1 billion than actual $15,946.6 billion. There are about two trillion dollars of GDP less than under trend, explaining the 27.4 million unemployed or underemployed equivalent to actual unemployment of 16.8 percent of the effective labor force (Section II and earlier http://cmpassocregulationblog.blogspot.com/2014/04/interest-rate-risks-twenty-eight.html). US GDP grew from $14,996.1 billion in IVQ2007 in constant dollars to $15,946.6 billion in IQ2014 or 6.3 percent at the average annual equivalent rate of 1.0 percent. The US missed the opportunity to grow at higher rates during the expansion and it is difficult to catch up because growth rates in the final periods of expansions tend to decline. The US missed the opportunity for recovery of output and employment always afforded in the first four quarters of expansion from recessions. Zero interest rates and quantitative easing were not required or present in successful cyclical expansions and in secular economic growth at 3.0 percent per year and 2.0 percent per capita as measured by Lucas (2011May). There is cyclical uncommonly slow growth in the US instead of allegations of secular stagnation.

Table I-4, US, Population, Labor Force and Unemployment, NSA

 

2006

Apr 2013

Mar 2014

Apr 2014

POP

229

245,175

247,258

247,439

LF

151

154,739

155,627

154,845

PART%

66.2

63.1

62.9

62.6

EMP

144

143,724

145,090

145,767

EMP/POP%

62.9

58.6

58.7

58.9

UEM

7

11,014

10,537

9,079

UEM/LF Rate%

4.6

7.1

6.8

5.9

NLF

77

90,436

91,630

92,594

LF PART 66.2%

 

162,306

163,685

163,805

NLF UEM

 

7,567

8,058

8,960

Total UEM

 

18,581

18,595

18,039

Total UEM%

 

11.4

11.4

11.0

Part Time Economic Reasons

 

7,709

7,455

7,243

Marginally Attached to LF

 

2,347

2,168

2,160

In Job Stress

 

28,637

28,218

27,442

People in Job Stress as % Labor Force

 

17.6

17.2

16.8

Pop: population; LF: labor force; PART: participation; EMP: employed; UEM: unemployed; NLF: not in labor force; NLF UEM: additional unemployed; Total UEM is UEM + NLF UEM; Total UEM% is Total UEM as percent of LF PART 66.2%; In Job Stress = Total UEM + Part Time Economic Reasons + Marginally Attached to LF

Note: the first column for 2006 is in average millions; the remaining columns are in thousands; NSA: not seasonally adjusted

The labor force participation rate of 66.2% in 2006 is applied to current population to obtain LF PART 66.2%; NLF UEM is obtained by subtracting the labor force with participation of 66.2 percent from the household survey labor force LF; Total UEM is household data unemployment plus NLF UEM; and total UEM% is total UEM divided by LF PART 66.2%

Source: US Bureau of Labor Statistics

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

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

The current application of Hansen’s (1938, 1939, 1941) proposition argues that secular stagnation occurs because full employment equilibrium can be attained only with negative real interest rates between minus 2 and minus 3 percent. Professor Lawrence H. Summers (2013Nov8) finds that “a set of older ideas that went under the phrase secular stagnation are not profoundly important in understanding Japan’s experience in the 1990s and may not be without relevance to America’s experience today” (emphasis added). Summers (2013Nov8) argues there could be an explanation in “that the short-term real interest rate that was consistent with full employment had fallen to -2% or -3% sometime in the middle of the last decade. Then, even with artificial stimulus to demand coming from all this financial imprudence, you wouldn’t see any excess demand. And even with a relative resumption of normal credit conditions, you’d have a lot of difficulty getting back to full employment.” The US economy could be in a situation where negative real rates of interest with fed funds rates close to zero as determined by the Federal Open Market Committee (FOMC) do not move the economy to full employment or full utilization of productive resources. Summers (2013Oct8) finds need of new thinking on “how we manage an economy in which the zero nominal interest rates is a chronic and systemic inhibitor of economy activity holding our economies back to their potential.”

Former US Treasury Secretary Robert Rubin (2014Jan8) finds three major risks in prolonged unconventional monetary policy of zero interest rates and quantitative easing: (1) incentive of delaying action by political leaders; (2) “financial moral hazard” in inducing excessive exposures pursuing higher yields of risker credit classes; and (3) major risks in exiting unconventional policy. Rubin (2014Jan8) proposes reduction of deficits by structural reforms that could promote recovery by improving confidence of business attained with sound fiscal discipline.

Professor John B. Taylor (2014Jan01, 2014Jan3) provides clear thought on the lack of relevance of Hansen’s contention of secular stagnation to current economic conditions. The application of secular stagnation argues that the economy of the US has attained full-employment equilibrium since around 2000 only with negative real rates of interest of minus 2 to minus 3 percent. At low levels of inflation, the so-called full-employment equilibrium of negative interest rates of minus 2 to minus 3 percent cannot be attained and the economy stagnates. Taylor (2014Jan01) analyzes multiple contradictions with current reality in this application of the theory of secular stagnation:

  • Secular stagnation would predict idle capacity, in particular in residential investment when fed fund rates were fixed at 1 percent from Jun 2003 to Jun 2004. Taylor (2014Jan01) finds unemployment at 4.4 percent with house prices jumping 7 percent from 2002 to 2003 and 14 percent from 2004 to 2005 before dropping from 2006 to 2007. GDP prices doubled from 1.7 percent to 3.4 percent when interest rates were low from 2003 to 2005.
  • Taylor (2014Jan01, 2014Jan3) finds another contradiction in the application of secular stagnation based on low interest rates because of savings glut and lack of investment opportunities. Taylor (2009) shows that there was no savings glut. The savings rate of the US in the past decade is significantly lower than in the 1980s.
  • Taylor (2014Jan01, 2014Jan3) finds another contradiction in the low ratio of investment to GDP currently and reduced investment and hiring by US business firms.
  • Taylor (2014Jan01, 2014Jan3) argues that the financial crisis and global recession were caused by weak implementation of existing regulation and departure from rules-based policies.
  • Taylor (2014Jan01, 2014Jan3) argues that the recovery from the global recession was constrained by a change in the regime of regulation and fiscal/monetary policies.

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

Y = ∑isiyi (1)

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

Y = ∑isiy*i + ∑iyis*i (2)

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

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

Table I-4b and Chart I-12-b provide the US labor force participation rate or percentage of the labor force in population. It is not likely that simple demographic trends caused the sharp decline during the global recession and failure to recover earlier levels. The civilian labor force participation rate dropped from the peak of 66.9 percent in Jul 2006 to 62.6 percent in Dec 2013 and 62.6 percent in Apr 2014. The civilian labor force participation rate was 63.7 percent on an annual basis in 1979 and 63.4 percent in Dec 1980 and Dec 1981, reaching even 62.9 percent in both Apr and May 1979. The civilian labor force participation rate jumped with the recovery to 64.8 percent on an annual basis in 1985 and 65.9 percent in Jul 1985. Structural factors cannot explain these sudden changes vividly shown visually in the final segment of Chart I-12b. Seniors would like to delay their retiring especially because of the adversities of financial repression on their savings. Labor force statistics are capturing the disillusion of potential workers with their chances in finding a job in what Lazear and Spletzer (2012JHJul22) characterize as accentuated cyclical factors. The argument that anemic population growth causes “secular stagnation” in the US (Hansen 1938, 1939, 1941) is as misplaced currently as in the late 1930s (for early dissent see Simons 1942). There is currently population growth in the ages of 16 to 24 years but not enough job creation and discouragement of job searches for all ages (http://cmpassocregulationblog.blogspot.com/2014/04/global-financial-instability-recovery.html). “Secular stagnation” would be a process over many years and not from one year to another.

The civilian labor force consists of people who are available and willing to work and who have searched for employment recently. The labor force of the US grew 9.4 percent from 142.828 million in Jan 2001 to 156.255 million in Jul 2009 but is lower at 154.845 million in Apr 2014, all numbers not seasonally adjusted. Chart I-3 shows the flattening of the curve of expansion of the labor force and its decline in 2010 and 2011. The ratio of the labor force of 154.871 million in Jul 2007 to the noninstitutional population of 231.958 million in Jul 2007 was 66.8 percent while the ratio of the labor force of 154.845 million in Apr 2014 to the noninstitutional population of 247.439 million in Apr 2014 was 62.6 percent. The labor force of the US in Apr 2014 corresponding to 66.8 percent of participation in the population would be 165.289 million (0.668 x 247.439). The difference between the measured labor force in Apr 2014 of 154.845 million and the labor force in Apr 2014 with participation rate of 66.8 percent (as in Jul 2007) of 165.289 million is 10.444 million. The level of the labor force in the US has stagnated and is 10.444 million lower than what it would have been had the same participation rate been maintained. Millions of people have abandoned their search for employment because they believe there are no jobs available for them. The key issue is whether the decline in participation of the population in the labor force is the result of people giving up on finding another job. Secular stagnation is merely another case of theory without reality with dubious policy proposals.

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

Year

Jan

Feb

Mar

Apr

Sep

Oct

Nov

Dec

Annual

1979

62.9

63.0

63.2

62.9

63.8

64.0

63.8

63.8

63.7

1980

63.3

63.2

63.2

63.2

63.6

63.9

63.7

63.4

63.8

1981

63.2

63.2

63.5

63.6

63.5

64.0

63.8

63.4

63.9

1982

63.0

63.2

63.4

63.3

64.0

64.1

64.1

63.8

64.0

1983

63.3

63.2

63.3

63.2

64.3

64.1

64.1

63.8

64.0

1984

63.3

63.4

63.6

63.7

64.4

64.6

64.4

64.3

64.4

1985

64.0

64.0

64.4

64.3

64.9

65.1

64.9

64.6

64.8

1986

64.2

64.4

64.6

64.6

65.3

65.5

65.4

65.0

65.3

1987

64.7

64.8

65.0

64.9

65.5

65.9

65.7

65.5

65.6

1988

65.1

65.2

65.2

65.3

65.9

66.1

66.2

65.9

65.9

1989

65.8

65.6

65.7

65.9

66.3

66.6

66.7

66.3

66.5

1990

66.0

66.0

66.2

66.1

66.4

66.5

66.3

66.1

66.5

1991

65.5

65.7

65.9

66.0

66.1

66.1

66.0

65.8

66.2

1992

65.7

65.8

66.0

66.0

66.3

66.2

66.2

66.1

66.4

1993

65.6

65.8

65.8

65.6

66.1

66.4

66.3

66.2

66.3

1994

66.0

66.2

66.1

66.0

66.5

66.8

66.7

66.5

66.6

1995

66.1

66.2

66.4

66.4

66.5

66.7

66.5

66.2

66.6

1996

65.8

66.1

66.4

66.2

66.8

67.1

67.0

66.7

66.8

1997

66.4

66.5

66.9

66.7

67.0

67.1

67.1

67.0

67.1

1998

66.6

66.7

67.0

66.6

67.0

67.1

67.1

67.0

67.1

1999

66.7

66.8

66.9

66.7

66.8

67.0

67.0

67.0

67.1

2000

66.8

67.0

67.1

67.0

66.7

66.9

66.9

67.0

67.1

2001

66.8

66.8

67.0

66.7

66.6

66.7

66.6

66.6

66.8

2002

66.2

66.6

66.6

66.4

66.6

66.6

66.3

66.2

66.6

2003

66.1

66.2

66.2

66.2

65.9

66.1

66.1

65.8

66.2

2004

65.7

65.7

65.8

65.7

65.7

66.0

66.1

65.8

66.0

2005

65.4

65.6

65.6

65.8

66.1

66.2

66.1

65.9

66.0

2006

65.5

65.7

65.8

65.8

66.1

66.4

66.4

66.3

66.2

2007

65.9

65.8

65.9

65.7

66.0

66.0

66.1

65.9

66.0

2008

65.7

65.5

65.7

65.7

65.9

66.1

65.8

65.7

66.0

2009

65.4

65.5

65.4

65.4

65.0

64.9

64.9

64.4

65.4

2010

64.6

64.6

64.8

64.9

64.6

64.4

64.4

64.1

64.7

2011

63.9

63.9

64.0

63.9

64.2

64.1

63.9

63.8

64.1

2012

63.4

63.6

63.6

63.4

63.6

63.8

63.5

63.4

63.7

2013

63.3

63.2

63.1

63.1

63.2

62.9

62.9

62.6

63.2

2014

62.5

62.7

62.9

62.6

         

Source: US Bureau of Labor Statistics

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

clip_image040

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

Source: Bureau of Labor Statistics

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

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

clip_image041

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

Sources: US Bureau of Labor Statistics

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

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

clip_image042

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

Sources: US Bureau of Labor Statistics

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

The rate of labor force participation of the US is in Chart I-12E from 1948 to 2014. There is sudden decline during the global recession after 2007 without recovery explained by cyclic factors (Lazear and Spletzer 2012JHJul22) as many potential workers stopped their job searches disillusioned that there could be an opportunity for them in sharply contracted labor markets.

clip_image043

Chart I-12E, US, Labor Force Participation Rate, Percent of Labor Force in Population, NSA, 1948-2014

Sources: US Bureau of Labor Statistics

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

ESVII Job Creation. What is striking about the data in Table I-8 is that the numbers of monthly increases in jobs in 1983 and 1984 are several times higher than in 2010 to 2013. The civilian noninstitutional population grew by 41.0 percent from 174.215 million in 1983 to 245.679 million in 2013 and labor force higher by 39.3 percent, growing from 111.550 million in 1983 to 155.389 million in 2013. Total nonfarm payroll employment seasonally adjusted (SA) increased 288,000 in Apr 2014 and private payroll employment rose 273,000. The average number of nonfarm jobs created from Apr 2012 to Apr 2013 was 177,667, using seasonally adjusted data, while the average number of nonfarm jobs created from Apr 2013 to Apr 2014 was 197,250, or increase by 11.0 percent. The average number of private jobs created in the US from Apr 2012 to Apr 2013 was 182,333, using seasonally adjusted data, while the average from Apr 2013 to Apr 2014 was 197,750, or increase by 8.5 percent. This blog calculates the effective labor force of the US at 162.306 million in Apr 2013 and 163.805 million in Apr 2014 (Table I-4), for growth of 1.499 million at average 124,917 per month. The difference between the average increase of 197,750 new private nonfarm jobs per month in the US from Apr 2013 to Apr 2014 and the 124,917 average monthly increase in the labor force from Apr 2013 to Apr 2014 is 72,833 monthly new jobs net of absorption of new entrants in the labor force. There are 27.442 million in job stress in the US currently. Creation of 72,833 new jobs per month net of absorption of new entrants in the labor force would require 377 months to provide jobs for the unemployed and underemployed (27.442 million divided by 72,833) or 31 years (377 divided by 12). The civilian labor force of the US in Apr 2014 not seasonally adjusted stood at 154.845 million with 9.079 million unemployed or effectively 18.039 million unemployed in this blog’s calculation by inferring those who are not searching because they believe there is no job for them for effective labor force of 163.805 million. Reduction of one million unemployed at the current rate of job creation without adding more unemployment requires 1.1 years (1 million divided by product of 72,833 by 12, which is 873,996). Reduction of the rate of unemployment to 5 percent of the labor force would be equivalent to unemployment of only 7.742 million (0.05 times labor force of 154.845 million) for new net job creation of 1.337 million (9.079 million unemployed minus 7.742 million unemployed at rate of 5 percent) that at the current rate would take 1.5 years (1.337 million divided by 0.873996). Under the calculation in this blog, there are 18.039 million unemployed by including those who ceased searching because they believe there is no job for them and effective labor force of 163.805 million. Reduction of the rate of unemployment to 5 percent of the labor force would require creating 11.257 million jobs net of labor force growth that at the current rate would take 11.3 years (18.039 million minus 0.05(163.805 million) = 9.849 million divided by 0.873996, using LF PART 66.2% and Total UEM in Table I-4). These calculations assume that there are no more recessions, defying United States economic history with periodic contractions of economic activity when unemployment increases sharply. The number employed in Apr 2014 was 145.767 million (NSA) or 1.548 million fewer people with jobs relative to the peak of 147.315 million in Jul 2007 while the civilian noninstitutional population of ages 16 years and over increased from 231.958 million in Jul 2007 to 247.439 million in Apr 2014 or by 15.481 million. The number employed fell 1.1 percent from Jul 2007 to Apr 2014 while the noninstitutional civilian population of ages of 16 years and over, or those available for work, increased 6.7 percent. There is actually not sufficient job creation in merely absorbing new entrants in the labor force because of those dropping from job searches, worsening the stock of unemployed or underemployed in involuntary part-time jobs.

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

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

The argument that anemic population growth causes “secular stagnation” in the US (Hansen 1938, 1939, 1941) is as misplaced currently as in the late 1930s (for early dissent see Simons 1942). There is currently population growth in the ages of 16 to 24 years but not enough job creation and discouragement of job searches for all ages (http://cmpassocregulationblog.blogspot.com/2014/04/global-financial-instability-recovery.html). The proper explanation is not in secular stagnation but in cyclically slow growth. The US maintained growth at 3.0 percent on average over entire cycles with expansions at higher rates compensating for contractions. Growth under trend in the entire cycle from IVQ2007 to IQ2014 would have accumulated to 21.2 percent. GDP in IQ2014 would be $18,172.7 billion if the US had grown at trend, which is higher by $2,226.1 billion than actual $15,946.6 billion. There are about two trillion dollars of GDP less than under trend, explaining the 27.4 million unemployed or underemployed equivalent to actual unemployment of 16.8 percent of the effective labor force (Section II and earlier http://cmpassocregulationblog.blogspot.com/2014/04/interest-rate-risks-twenty-eight.html). US GDP grew from $14,996.1 billion in IVQ2007 in constant dollars to $15,946.6 billion in IQ2014 or 6.3 percent at the average annual equivalent rate of 1.0 percent. The US missed the opportunity to grow at higher rates during the expansion and it is difficult to catch up because growth rates in the final periods of expansions tend to decline. The US missed the opportunity for recovery of output and employment always afforded in the first four quarters of expansion from recessions. Zero interest rates and quantitative easing were not required or present in successful cyclical expansions and in secular economic growth at 3.0 percent per year and 2.0 percent per capita as measured by Lucas (2011May). There is cyclical uncommonly slow growth in the US instead of allegations of secular stagnation. This is merely another case of theory without reality with dubious policy proposals.

Table I-8, US, Monthly Change in Jobs, Number SA

Month

1981

1982

1983

2008

2009

2010

Private

Jan

94

-326

224

15

-798

18

20

Feb

68

-5

-75

-86

-701

-50

-38

Mar

105

-130

172

-80

-826

156

113

Apr

73

-280

276

-214

-684

251

192

May

10

-45

277

-182

-354

516

94

Jun

197

-243

379

-172

-467

-122

110

Jul

112

-342

418

-210

-327

-61

120

Aug

-36

-158

-308

-259

-216

-42

117

Sep

-87

-181

1115

-452

-227

-57

107

Oct

-99

-277

271

-474

-198

241

199

Nov

-209

-123

353

-765

-6

137

149

Dec

-278

-14

356

-697

-283

71

94

     

1984

   

2011

Private

Jan

   

446

   

70

72

Feb

   

481

   

168

223

Mar

   

275

   

212

231

Apr

   

363

   

322

320

May

   

308

   

102

166

Jun

   

379

   

217

186

Jul

   

313

   

106

219

Aug

   

242

   

122

125

Sep

   

310

   

183

268

Oct

   

286

   

183

177

Nov

   

349

   

164

191

Dec

   

128

   

196

222

     

1985

   

2012

Private

Jan

   

266

   

360

364

Feb

   

124

   

226

228

Mar

   

346

   

243

246

Apr

   

196

   

96

102

May

   

274

   

110

131

Jun

   

146

   

88

75

Jul

   

190

   

160

172

Aug

   

193

   

150

136

Sep

   

203

   

161

159

Oct

   

188

   

225

255

Nov

   

209

   

203

211

Dec

   

167

   

214

215

     

1986

   

2013

Private

Jan

   

125

   

197

219

Feb

   

107

   

280

263

Mar

   

94

   

141

164

Apr

   

187

   

203

188

May

   

127

   

199

222

Jun

   

-94

   

201

201

Jul

   

318

   

149

170

Aug

   

114

   

202

180

Sep

   

347

   

164

153

Oct

   

186

   

237

247

Nov

   

186

   

274

272

Dec

   

205

   

84

86

     

1987

   

2014

Private

Jan

   

172

   

144

166

Feb

   

232

   

222

201

Mar

   

249

   

203

202

Apr

   

338

   

288

273

May

   

226

       

Source: US Bureau of Labor Statistics

http://www.bls.gov/

Charts numbered from I-38 to I-41 from the database of the Bureau of Labor Statistics provide a comparison of payroll survey data for the contractions and expansions in the 1980s and after 2007. Chart I-38 provides total nonfarm payroll jobs from 2001 to 2013. The sharp decline in total nonfarm jobs during the contraction after 2007 has been followed by initial stagnation and then inadequate growth in 2012 and 2013-2014 while population growth continued.

clip_image044

Chart I-38, US, Total Nonfarm Payroll Jobs SA 2001-2014

Source: US Bureau of Labor Statistics

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

Chart I-39 provides total nonfarm jobs SA from 1979 to 1989. Recovery is strong throughout the decade with the economy growing at trend over the entire economic cycle.

clip_image045

Chart I-39, US, Total Nonfarm Payroll Jobs SA 1979-1989

Source: US Bureau of Labor Statistics

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

Most job creation in the US is by the private sector. Chart I-40 shows the sharp destruction of private payroll jobs during the contraction after 2007. There has been growth after 2010 but insufficient to recover higher levels of employment prevailing before the contraction. At current rates, recovery of employment may spread over several years in contrast with past expansions of the business cycle in the US.

clip_image046

Chart I-40, US, Total Private Payroll Jobs SA 2001-2014

Source: US Bureau of Labor Statistics

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

In contrast, growth of private payroll jobs in the US recovered vigorously during the expansion in 1983 through 1985, as shown in Chart I-41. Rapid growth of creation of private jobs continued throughout the 1980s.

clip_image047

Chart I-41, US, Total Private Payroll Jobs SA 1979-1989

Source: US Bureau of Labor Statistics

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

Types of jobs created, and not only the pace of job creation, may be important. Aspects of growth of payroll jobs from Apr 2013 to Apr 2014, not seasonally adjusted (NSA), are in Table I-9. Total nonfarm employment increased by 2,377,000 (row A, column Change), consisting of growth of total private employment by 2,373,000 (row B, column Change) and increase by 4,000 of government employment (row C, column Change). Monthly average growth of private payroll employment has been 197,750, which is mediocre relative to 24 to 30 million in job stress, while total nonfarm employment has grown on average by only 198,083 per month, which barely keeps with 124,917 new entrants per month in the labor force. These monthly rates of job creation are insufficient to meet the demands of new entrants in the labor force and thus perpetuate unemployment and underemployment. Manufacturing employment increased by 103,000, at the monthly rate of 8,583 while private service providing employment grew by 2,024,000, at the monthly rate of 168,667. An important feature in Table I-9 is that jobs in professional and business services increased by 670,000 with temporary help services increasing by 247,000. This episode of jobless recovery is characterized by part-time jobs and creation of jobs that are inferior to those that have been lost. Monetary and fiscal stimuli fail to increase consumption in a fractured job market. The segment leisure and hospitality added 400,000 jobs in 12 months. An important characteristic is that the loss of government jobs has stabilized in federal government with loss of 77,000 jobs while states added 10,000 jobs and local government added 71,000 jobs. Local government provides the bulk of government jobs, 14.359 million, while federal government provides 2.718 million and states government 5.221 million.

Table I-9, US, Employees in Nonfarm Payrolls Not Seasonally Adjusted, in Thousands

 

Apr 2013

Apr 2014

Change

A Total Nonfarm

135,911

138,288

2,377

B Total Private

113,617

115,990

2,373

B1 Goods Producing

18,458

18,807

349

B1a

Manufacturing

11,941

12,044

103

B2 Private service providing

95,159

97,183

2,024

B2a Wholesale Trade

5,705

5,833

128

B2b Retail Trade

14,802

15,122

320

B2c Transportation & Warehousing

4,442

4,544

102

B2d Financial Activities

7,834

7,889

55

B2e Professional and Business Services

18,404

19,074

670

B2e1 Temporary help services

2,548

2,795

247

B2f Health Care & Social Assistance

17,712

17,986

274

B2g Leisure & Hospitality

14,070

14,470

400

C Government

22,294

22,298

4

C1 Federal

2,795

2,718

-77

C2 State

5,211

5,221

10

C3 Local

14,288

14,359

71

Note: A = B+C, B = B1 + B2, C=C1 + C2 + C3

Source: US Bureau of Labor Statistics

http://www.bls.gov/

ESVIII Stagnating Real Wages. Average hourly earnings of all US employees in the US in constant dollars of 1982-1984 from the dataset of the US Bureau of Labor Statistics (BLS) are provided in Table IB-4. Average hourly earnings fell 0.5 percent after adjusting for inflation in the 12 months ending in Mar 2012 and gained 0.6 percent in the 12 months ending in Apr 2012 but then lost 0.6 percent in the 12 months ending in May 2012. Average hourly earnings in the US in constant dollars of 1982-1984 increased 0.3 percent in the 12 months ending in Jun 2012 and 0.9 percent in Jul 2012 followed by 0.1 percent in Aug 2012 and 0.7 percent in Sep 2012. Average hourly earnings adjusted by inflation fell 1.2 percent in the 12 months ending in Oct 2012. Average hourly earnings adjusted by inflation increased 0.1 percent in the 12 months ending in Nov 2012 and 1.0 percent in the 12 months ending in Dec 2012 but fell 0.3 percent in the 12 months ending in Jan 2013 and stagnated with gain of 0.2 percent in the 12 months ending in Feb 2013. Average hourly earnings adjusted for inflation increased 0.4 percent in the 12 months ending in Mar 2013 and increased 0.2 percent in the 12 months ending in Apr 2013. Average hourly earnings adjusted for inflation increased 0.7 percent in the 12 months ending in May 2013 and 1.1 percent in the 12 months ending in Jun 2013. Average hourly earnings of all employees adjusted for inflation fell 0.6 percent in the 12 months ending in Jul 2013 and increased 0.7 percent in the 12 months ending in Aug 2013. Average hourly earnings adjusted for inflation increased 0.9 percent in the 12 months ending in Sep 2013 and increased 1.2 percent in the 12 months ending in Oct 2013. Average hourly earnings adjusted for inflation increased 0.9 percent in the 12 months ending in Nov 2013. Average hourly earnings increased 0.4 percent in the 12 months ending in Dec 2013 and 0.4 percent in the 12 months ending in Jan 2014. Average hourly earnings adjusted for inflation increased 1.7 percent in the 12 months ending in Feb 2014 and 1.2 percent in the 12 months ending in Mar 2014. Table IB-4 confirms the trend of deterioration of purchasing power of average hourly earnings in 2011 and into 2012 with 12-month percentage declines in three of the first three months of 2012 (-1.1 percent in Jan, -1.1 percent in Feb and -0.5 percent in Mar). There were declines of 0.6 percent in May and 1.2 percent in Oct and increase in five (0.6 percent in Apr, 0.3 percent in Jun, 0.9 percent in Jul, 0.7 percent in Sep and 1.0 percent in Dec) and stagnation in two (0.1 percent in Aug and 0.1 percent in Nov). Average hourly earnings adjusted for inflation fell 0.3 percent in the 12 months ending in Jan 2013, virtually stagnated with gain of 0.2 percent in the 12 months ending in Feb 2013 and gained 0.4 percent in the 12 months ending Mar 2013. Real average hourly earnings increased 0.2 percent in the 12 months ending in Apr 2013 and 0.7 percent in the 12 months ending in May 2013. Average hourly earnings increased 1.1 percent in the 12 months ending in Jun 2013 and fell 0.6 percent in the 12 months ending in Jul 2013. Annual data are revealing: -0.7 percent in 2008 during carry trades into commodity futures in a global recession, 3.1 percent in 2009 with reversal of carry trades, muted change of 0.1 percent in 2010 and no change in 2012 and decline by 1.1 percent in 2011. Average hourly earnings adjusted for inflation increased 0.5 percent in 2013. Annual average hourly earnings of all employees in the United States adjusted for inflation increased 1.9 percent from 2007 to 2013 at the yearly average rate of 0.3 percent (from $10.10 in 2007 to $10.29 in 2013 in constant dollars of 1982-1984 using data in http://www.bls.gov/data/). Those who still work bring back home a paycheck that buys fewer goods than a year earlier and savings in bank deposits do not pay anything because of financial repression (Section I and earlier at http://cmpassocregulationblog.blogspot.com/2014/03/financial-uncertainty-mediocre-cyclical.html).

Table IB-4, US, Average Hourly Earnings of All Employees NSA in Constant Dollars of 1982-1984

Year

Jan

Feb

Mar

Sep

Oct

Nov

Dec

2006

   

10.05

10.03

10.16

10.14

10.21

2007

10.22

10.21

10.13

10.15

10.07

10.05

10.16

2008

10.11

10.11

10.10

9.93

10.05

10.36

10.46

2009

10.46

10.50

10.46

10.29

10.31

10.38

10.37

2010

10.40

10.42

10.33

10.35

10.38

10.37

10.39

2011

10.52

10.39

10.25

10.16

10.29

10.24

10.29

2012

10.40

10.28

10.20

10.23

10.17

10.25

10.39

∆%12M

-1.1

-1.1

-0.5

0.7

-1.2

0.1

1.0

2013

10.37

10.30

10.24

10.32

10.29

10.34

10.43

∆%12M

-0.3

0.2

0.4

0.9

1.2

0.9

0.4

2014

10.41

10.47

10.36

       

∆%12M

0.4

1.7

1.2

       

Source: US Bureau of Labor Statistics

http://www.bls.gov/

Chart IB-2 of the US Bureau of Labor Statistics plots average hourly earnings of all US employees in constant 1982-1984 dollars with evident decline from annual earnings of $10.34 in 2009 and $10.35 in 2010 to $10.24 in 2011 and $10.24 again in 2012 or loss of 1.1 percent (data in http://www.bls.gov/data/). Annual real hourly earnings increased 0.5 percent in 2013 relative to 2012. The economic welfare or wellbeing of United States workers deteriorated in a recovery without hiring (http://cmpassocregulationblog.blogspot.com/2014/04/global-financial-instability-recovery.html), stagnating/declining real wages and 27.4 million unemployed or underemployed (Section II and earlier http://cmpassocregulationblog.blogspot.com/2014/04/interest-rate-risks-twenty-eight.html) because of mediocre economic growth (Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-uncertainty-mediocre-cyclical.html).

clip_image048

Chart IB-2, US, Average Hourly Earnings of All Employees in Constant Dollars of 1982-1984, SA 2006-2014

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

Chart IB-3 provides 12-month percentage changes of average hourly earnings of all employees in constant dollars of 1982-1984, that is, adjusted for inflation. There was sharp contraction of inflation-adjusted average hourly earnings of US employees during parts of 2007 and 2008. Rates of change in 12 months became positive in parts of 2009 and 2010 but then became negative again in 2011 and into 2012 with temporary increase in Apr 2012 that was reversed in May with another gain in Jun and Jul 2012 followed by stagnation in Aug 2012. There was marginal gain in Sep 2012 with sharp decline in Oct 2012, stagnation in Nov 2012, increase in Dec 2012 and renewed decrease in Jan 2013 with near stagnation in Feb 2013 followed by mild increase in Mar-Apr 2013. Hourly earnings adjusted for inflation increased in Jun 2013 and fell in Jul 2013, increasing in Aug-Dec 2013 and Jan-Mar 2014.

clip_image049

Chart IB-3, Average Hourly Earnings of All Employees NSA 12-Month Percent Change, 1982-1984 Dollars, NSA 2007-2014

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

Average weekly earnings of all US employees in the US in constant dollars of 1982-1984 from the dataset of the US Bureau of Labor Statistics (BLS) are provided in Table IB-5. Average weekly earnings fell 3.2 percent after adjusting for inflation in the 12 months ending in Aug 2011, decreased 0.9 percent in the 12 months ending in Sep 2011 and increased 0.6 percent in the 12 months ending in Oct 2011. Average weekly earnings fell 1.0 percent in the 12 months ending in Nov 2011 and 0.4 percent in the 12 months ending in Dec 2011. Average weekly earnings declined 0.3 percent in the 12 months ending in Jan 2012 and 0.5 percent in the 12 months ending in Feb 2012. Average weekly earnings in constant dollars were virtually flat in Mar 2012 relative to Mar 2011, decreasing 0.2 percent. Average weekly earnings in constant dollars increased 1.7 percent in Apr 2012 relative to Apr 2011 but fell 1.7 percent in May 2012 relative to May 2011, increasing 0.3 percent in the 12 months ending in Jun and 2.1 percent in Jul 2012. Real weekly earnings increased 0.4 percent in the 12 months ending in Aug 2012 and 2.1 percent in the 12 months ending in Sep 2012. Real weekly earnings fell 2.7 percent in the 12 months ending in Oct 2012 and increased 0.1 percent in the 12 months ending in Nov 2012 and 2.4 percent in the 12 months ending in Dec 2012. Real weekly earnings fell 1.7 percent in the 12 months ending in Jan 2013 and virtually stagnated with gain of 0.2 percent in the 12 months ending in Feb 2013, increasing 0.7 percent in the 12 months ending in Mar 2013. Real weekly earnings fell 0.7 percent in the 12 months ending in Apr 2013 and increased 0.9 percent in the 12 months ending in May 2013. Average weekly earnings increased 2.5 percent in the 12 months ending in Jun 2013 and fell 2.0 percent in the 12 months ending in Jul 2013. Real weekly earnings increased 0.7 percent in the 12 months ending in Aug 2013, 0.8 percent in the 12 months ending in Sep 2013 and 1.5 percent in the 12 months ending in Oct 2013. Average weekly earnings increased 1.2 percent in the 12 months ending in Nov 2013 and fell 0.2 percent in the 12 months ending in Dec 2013. Average weekly earnings increased 0.4 percent in the 12 months ending in Jan 2014 and 2.3 percent in the 12 months ending in Feb 2014. Average weekly earnings increased 2.3 percent in the 12 months ending in Mar 2014. Table I-5 confirms the trend of deterioration of purchasing power of average weekly earnings in 2011 and into 2013 with oscillations according to carry trades causing world inflation waves (http://cmpassocregulationblog.blogspot.com/2014/03/interest-rate-risks-world-inflation.html). On an annual basis, average weekly earnings in constant 1982-1984 dollars increased from $349.34 in 2007 to $354.16 in 2013, by 1.4 percent or at the average rate of 0.2 percent per year (data in http://www.bls.gov/data/). Annual average weekly earnings in constant dollars of $353.11 in 2010 were virtually unchanged at $353.00 in 2012. Those who still work bring back home a paycheck that buys fewer high-quality goods than a year earlier. The fractured US job market does not provide an opportunity for advancement as in past booms following recessions because of poor job creation with 27.4 million unemployed or underemployed (Section II and earlier http://cmpassocregulationblog.blogspot.com/2014/04/interest-rate-risks-twenty-eight.html) in a recovery without hiring (http://cmpassocregulationblog.blogspot.com/2014/04/global-financial-instability-recovery.html).

Table IB-5, US, Average Weekly Earnings of All Employees in Constant Dollars of 1982-1984, NSA 2007-2014

Year

Jan

Feb

Mar

Oct

Nov

Dec

2006

   

343.54

354.71

348.95

353.20

2007

348.55

348.04

347.42

347.58

346.68

354.76

2008

344.58

345.89

350.37

345.63

358.50

356.85

2009

353.62

358.93

354.45

348.35

355.07

351.48

2010

350.39

350.20

349.29

356.00

354.81

355.29

2011

359.82

353.35

349.60

358.27

351.14

353.95

2012

358.75

351.67

348.87

348.76

351.46

362.53

∆%12M

-0.3

-0.5

-0.2

-2.7

-0.1

2.4

2013

352.58

352.21

351.29

354.10

355.85

361.82

∆%12M

-1.7

0.2

0.7

1.5

1.2

-0.2

2014

353.93

360.14

359.49

     

∆%12M

0.4

2.3

2.3

     

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

Chart IB-4 provides average weekly earnings of all employees in constant dollars of 1982-1984. The same pattern emerges of sharp decline during the contraction, followed by recovery in the expansion and continuing fall with oscillations caused by carry trades from zero interest rates into commodity futures from 2010 to 2011 and into 2012-2014.

clip_image050

Chart IB-4, US, Average Weekly Earnings of All Employees in Constant Dollars of 1982-1984, SA 2006-2014

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

Chart IB-5 provides 12-month percentage changes of average weekly earnings of all employees in the US in constant dollars of 1982-1984. There is the same pattern of contraction during the global recession in 2008 and then again trend of deterioration in the recovery without hiring and inflation waves. (http://cmpassocregulationblog.blogspot.com/2014/04/imf-view-world-inflation-waves-squeeze.html).

clip_image051

Chart IB-5, US, Average Weekly Earnings of All Employees NSA in Constant Dollars of 1982-1984 12-Month Percent Change, NSA 2007-2014

Source: US Bureau of Labor Statistics http://www.bls

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

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