Monday, May 11, 2020

Fifty-Two Million Unemployed or Underemployed in the Lost Economic Cycle of the Global Recession with Economic Growth Underperforming Below Trend Worldwide Followed by Lockdown of Economic Activity in the COVID-19 Probable Global Recession, Cyclically Stagnating Wages, Loss of 20.5 Million Nonfarm Payroll Jobs and 19.3 Million Private Payroll Jobs, Twenty-Two Million Insured Unemployed, Cyclically Stagnating Real Wages, Contracting Real Disposable Income, Financial Repression, Contraction of United States and World International Trade, Decline of United States Homeownership with Recent Recovery, Probable Global Recession, World Cyclical Slow Growth, and Government Intervention in Globalization: Part III


Fifty-Two Million Unemployed or Underemployed in the Lost Economic Cycle of the Global Recession with Economic Growth Underperforming Below Trend Worldwide Followed by Lockdown of Economic Activity in the COVID-19 Probable Global Recession, Cyclically Stagnating Wages, Loss of 20.5 Million Nonfarm Payroll Jobs and 19.3 Million Private Payroll Jobs, Twenty-Two Million Insured Unemployed, Cyclically Stagnating Real Wages, Contracting Real Disposable Income, Financial Repression, Contraction of United States and World International Trade, Decline of United States Homeownership with Recent Recovery, Probable Global Recession, World Cyclical Slow Growth, and Government Intervention in Globalization

Carlos M. Pelaez

© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020.

I Fifty-Two Million Unemployed or Underemployed in the Lost Economic Cycle of the Global Recession with Economic Growth Underperforming Below Trend Worldwide

IA2 Number of People in Job Stress

IA3 Long-term and Cyclical Comparison of Employment

IA4 Job Creation

IB Stagnating Real Wages

II Stagnating Real Disposable Income and Consumption Expenditures

IIB1 Stagnating Real Disposable Income and Consumption Expenditures

IB2 Financial Repression

II United States International Trade

IID Decline of United States Homeownership

III World Financial Turbulence

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

Foreword A. Fifty-Two Million Unemployed or Underemployed in the Lost Economic Cycle of the Global Recession with Economic Growth Underperforming Below Trend Worldwide Followed by Lockdown of Economic Activity in the COVID-19 Event.

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 22.5 percent and the number of people in job stress could be around 51.6 million, which is 30.0 percent of the effective labor force. Unemployment is increasing sharply while employment is declining rapidly because of the lockdown of economic activity in the probable global recession resulting from the COVID-19 event (https://www.bls.gov/cps/employment-situation-covid19-faq-april-2020.pdf). 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 2019, Feb 2020 and Apr 2020 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 (https://www.bls.gov/data/). Table I-4b provides the yearly labor force participation rate from 1979 to 2020. 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. Abraham, Hatiwanger, Sandusky and Spletzer (2016) find that “unemployment duration has a strongly negative effect on the likelihood of subsequent employment.” 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 2019, Mar 2020 and Apr 2020 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 60.6 percent by Apr 2019 and was 59.7 percent in Mar 2020 and 51.3 percent in Apr 2020, suggesting that many people simply gave up on finding another job. There is also abrupt decrease in employment and increase in unemployment in the lockdown of economic activity in the COVID-19 event. 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 16.221 million unemployed in Apr 2020 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 38.725 million (Total UEM) and not 22.504 million (UEM) of whom many have been unemployed long term
  • the rate of unemployment is 22.5 percent (Total UEM%) and not 14.4 percent, not seasonally adjusted, or 14.7 percent seasonally adjusted
  • the number of people in job stress is close to 51.620 million by adding the 16.221 million leaving the labor force because they believe they could not find another job, corresponding to 30.0 percent of the effective labor force.

The row “In Job Stress” in Table I-4 provides the number of people in job stress not seasonally adjusted at 51.620 million in Apr 2020, 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 30.0 percent of the labor force in Apr 2020. The number employed in Apr 2020 was 133.326 million (NSA) or 13,989 million fewer people with jobs relative to the peak of 147.315 million in Aug 2007 while the civilian noninstitutional population of ages 16 years and over increased from 231.958 million in Jul 2007 to 259.896 million in Apr 2020 or by 27.938 million. The number employed decreased 9.5 percent from Jul 2007 to Apr 2020 while the noninstitutional civilian population of ages of 16 years and over, or those available for work, increased 12.0 percent. The ratio of employment to population in Jul 2007 was 63.5 percent (147.315 million employed as percent of population of 231.958 million). The same ratio in Apr 2020 would result in 165.034 million jobs (0.635 multiplied by noninstitutional civilian population of 259,896 million). There are effectively 31.708 million fewer jobs in Apr 2020 than in Jul 2007, or 165.034 million minus 133.326 million. 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 (https://cmpassocregulationblog.blogspot.com/2020/04/united-states-imbalances-of-internal.html and earlier https://cmpassocregulationblog.blogspot.com/2020/03/sharp-contraction-of-valuations-of-risk.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. 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 2.1 percent on average in the cyclical expansion in the 43 quarters from IIIQ2009 to IQ2020. 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 IQ2020 (https://www.bea.gov/system/files/2020-04/gdp1q20_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 2.8 percent obtained by dividing GDP of $15,557.3 billion in IIQ2010 by GDP of $15,134.1 billion in IIQ2009 {[($15,557.3/$15,134.1) -1]100 = 2.8%], or accumulating the quarter on quarter growth rates (https://cmpassocregulationblog.blogspot.com/2020/05/mediocre-cyclical-united-states.html and earlier https://cmpassocregulationblog.blogspot.com/2020/03/weekly-rise-of-valuations-of-risk.html). The expansion from IQ1983 to IQ1986 was at the average annual growth rate of 5.7 percent, 5.3 percent from IQ1983 to IIIQ1986, 5.1 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, 5.0 percent from IQ1983 to IVQ1987, 4.9 percent from IQ1983 to IIQ1988, 4.8 percent from IQ1983 to IIIQ1988, 4.8 percent from IQ1983 to IVQ1988, 4.8 percent from IQ1983 to IQ1989, 4.7 percent from IQ1983 to IIQ1989, 4.6 percent from IQ1983 to IIIQ1989, 4.5 percent from IQ1983 to IVQ1989. 4.5 percent from IQ1983 to IQ1990, 4.4 percent from IQ1983 to IIQ1990, 4.3 percent from IQ1983 to IIIQ1990, 4.0 percent from IQ1983 to IVQ1990, 3.8 percent from IQ1983 to IQ1991, 3.8 percent from IQ1983 to IIQ1991, 3.8 percent from IQ1983 to IIIQ1991, 3.7 percent from IQ1983 to IVQ1991, 3.7 percent from IQ1983 to IQ1992, 3.7 percent from IQ1983 to IIQ1992, 3.7 percent from IQ1983 to IIIQ2019, 3.8 percent from IQ1983 to IVQ1992, 3.7 percent from IQ1983 to IQ1993, 3.6 percent from IQ1983 to IIQ1993, 3.6 percent from IQ1983 to IIIQ1993 and at 7.9 percent from IQ1983 to IVQ1983 (https://cmpassocregulationblog.blogspot.com/2020/05/mediocre-cyclical-united-states.html and earlier https://cmpassocregulationblog.blogspot.com/2020/03/weekly-rise-of-valuations-of-risk.html). The National Bureau of Economic Research (NBER) dates a contraction of the US from IQ1990 (Jul) to IQ1991 (Mar) (https://www.nber.org/cycles.html). The expansion lasted until another contraction beginning in IQ2001 (Mar). US GDP contracted 1.3 percent from the pre-recession peak of $8983.9 billion of chained 2009 dollars in IIIQ1990 to the trough of $8865.6 billion in IQ1991 (https://apps.bea.gov/iTable/index_nipa.cfm). The US maintained growth at 3.0 percent on average over entire cycles with expansions at higher rates compensating for contractions. Growth at trend in the entire cycle from IVQ2007 to IQ2020 and the lockdown of economic activity in COVID-19 would have accumulated to 43.6 percent. GDP in IQ2020 would be $22,634.2 billion (in constant dollars of 2012) if the US had grown at trend, which is higher by $3646.3 billion than actual $18,987.9 billion. There are more than three trillion dollars of GDP less than at trend, explaining the 51.6 million unemployed or underemployed equivalent to actual unemployment/underemployment of 30.0 percent of the effective labor force with the largest part originating in the lockdown of economic activity in the COVID-19 event (Section I and earlier https://cmpassocregulationblog.blogspot.com/2020/04/lockdown-of-economic-activity-in.html). Unemployment is increasing sharply while employment is declining rapidly because of the lockdown of economic activity in the probable global recession resulting from the COVID-19 event (https://www.bls.gov/cps/employment-situation-covid19-faq-april-2020.pdf). US GDP in IQ2020 is 16.1 percent lower than at trend. US GDP grew from $15,762.0 billion in IVQ2007 in constant dollars to $18,987.9 billion in IQ2020 or 20.5 percent at the average annual equivalent rate of 1.5 percent. Professor John H. Cochrane (2014Jul2) estimates US GDP at more than 10 percent below trend. Cochrane (2016May02) measures GDP growth in the US at average 3.5 percent per year from 1950 to 2000 and only at 1.76 percent per year from 2000 to 2015 with only at 2.0 percent annual equivalent in the current expansion. Cochrane (2016May02) proposes drastic changes in regulation and legal obstacles to private economic activity. 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. There is similar behavior in manufacturing. There is classic research on analyzing deviations of output from trend (see for example Schumpeter 1939, Hicks 1950, Lucas 1975, Sargent and Sims 1977). The long-term trend is growth of manufacturing at average 3.1 percent per year from Mar 1919 to Mar 2020. Growth at 3.1 percent per year would raise the NSA index of manufacturing output (SIC, Standard Industrial Classification) from 108.2987 in Dec 2007 to 157.4135 in Mar 2020. The actual index NSA in Mar 2020 is 98.5511 which is 37.4 percent below trend. The deterioration of manufacturing in Mar 2020 originates in the lockdown of economic activity in the COVID-19 event. Manufacturing grew at the average annual rate of 3.3 percent between Dec 1986 and Dec 2006. Growth at 3.3 percent per year would raise the NSA index of manufacturing output (SIC, Standard Industrial Classification) from 108.2987 in Dec 2007 to 161.1952 in Mar 2020. The actual index NSA in Mar 2020 is 98.5511, which is 38.9 percent below trend. Manufacturing output grew at average 1.7 percent between Dec 1986 and Mar 2020. Using trend growth of 1.7 percent per year, the index would increase to 133.1389 in Mar 2020. The output of manufacturing at 98.5511 in Mar 2020 is 26.0 percent below trend under this alternative calculation. Using the NAICS (North American Industry Classification System), manufacturing output fell from the high of 110.5147 in Jun 2007 to the low of 86.3800 in Apr 2009 or 21.8 percent. The NAICS manufacturing index increased from 86.3800 in Apr 2009 to 99.9350 in Mar 2020 or 15.7 percent. The NAICS manufacturing index increased at the annual equivalent rate of 3.5 percent from Dec 1986 to Dec 2006. Growth at 3.5 percent would increase the NAICS manufacturing output index from 106.6777 in Dec 2007 to 162.5897 in Mar 2020. The NAICS index at 99.9350 in Mar 2020 is 38.5 below trend. The NAICS manufacturing output index grew at 1.7 percent annual equivalent from Dec 1999 to Dec 2006. Growth at 1.7 percent would raise the NAICS manufacturing output index from 106.6777 in Dec 2007 to 131.1461 in Mar 2020. The NAICS index at 99.9350 in Mar 2020 is 23.8 percent below trend under this alternative calculation.

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

2006

Apr 2019

Mar 2020

Apr 2020

POP

229

258.693

259.758

259.896

LF

151

162.097

162.537

155.830

PART%

66.2

62.7

62.6

60.0

EMP

144

156.710

155.167

133.326

EMP/POP%

62.9

60.6

59.7

51.3

UEM

7

5.387

7.370

22.504

UEM/LF Rate%

4.6

3.3

4.5

14.4

NLF

77

96.596

97.221

104.066

LF PART 66.2%

171.255

171.960

172.051

NLF UEM

9.158

9.423

16.221

Total UEM

14.545

16.793

38.725

Total UEM%

8.5

9.8

22.5

Part Time Economic Reasons

4,483

5,879

10,684

Marginally Attached to LF

1,417

1,380

2,211

In Job Stress

20.445

24.052

51.620

People in Job Stress as % Labor Force

11.9

14.0

30.0

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

https://www.bls.gov/cps/

Foreword B. There is typically significant difference between initial claims for unemployment insurance adjusted and not adjusted for seasonality provided in Table VII-2. Seasonally adjusted claims decreased 677,000 from 3,846,000 on Apr 25, 2020 to 3,169,000 on May 2, 2020 in the COVID-19 event. Claims not adjusted for seasonality decreased 646,613 from 3,495,703 on Apr 25, 2020 to 2,849,090 on May 2, 2020.

Table VII-2, US, Initial Claims for Unemployment Insurance

SA

NSA

4-week MA SA

May 02, 2020

3,169,000

2,849,090

4,173,500

Apr 25, 2020

3,846,000

3,495,703

5,035,000

Change

-677,000

-646,613

-861,500

Apr 18, 2020

4,442,000

4,281,648

5,790,250

Prior Year

225,000

204,033

221,000

Note: SA: seasonally adjusted; NSA: not seasonally adjusted; MA: moving average

Source: https://www.dol.gov/ui/data.pdf

Table VII-2A provides the SA and NSA number of uninsured that jumped 4,240,777 NSA from 17,794,976 on Apr 18, 2020 to 22,035,753 on Apr 25, 2020.

Table VII-2A, US, Insured Unemployment

SA

NSA

4-week MA SA

Apr 25 2020

22,647,000

22,035,753

17,097,750

Apr 18, 2020

18,011,000

17,794,976

13,297,500

Change

+4,636,000

+4,240,777

+3,800,250

Apr 11, 2020

15,819,000

16,277,322

9,559,500

Prior Year

1,684,000

1,633,529

1,673,000

Note: SA: seasonally adjusted; NSA: not seasonally adjusted; MA: moving average

Source: https://www.dol.gov/ui/data.pdf

I United States International Trade. Table IIA-1 provides the trade balance of the US and monthly growth of exports and imports seasonally adjusted with the latest release and revisions (https://www.census.gov/foreign-trade/index.html). Because of heavy dependence on imported oil, fluctuations in the US trade account originate largely in fluctuations of commodity futures prices caused by carry trades from zero interest rates into commodity futures exposures in a process similar to world inflation waves (https://cmpassocregulationblog.blogspot.com/2020/04/valuations-of-risk-financial-assets.html and earlier https://cmpassocregulationblog.blogspot.com/2020/03/weekly-rise-of-valuations-of-risk.html). The Census Bureau revised data for 2020, 2019, 2018, 2017, 2016, 2015, 2014 and 2013. Exports decreased 9.6 percent in Mar 2020 while imports decreased 6.2 percent in the lockdown of economic activity in the COVID-19 event. The trade deficit increased from $39,810 million in Feb 2020 to $44,415 million in Mar 2020. The trade deficit deteriorated to $45,224 million in Feb 2016, improving to $38,454 million in Mar 2016. The trade deficit deteriorated to $38,922 million in Apr 2016, deteriorating to $40,372 million in May 2016 and $43,856 million in Jun 2016. The trade deficit improved to $41,360 million in Jul 2016, moving to $41,681 million in Aug 2016. The trade deficit improved to $39,049 million in Sep 2016, deteriorating to $42,002 million in Oct 2016. The trade deficit deteriorated to $46,631 million in Nov 2016, improving to $43,475 million in Dec 2016. The trade deficit deteriorated to $46,417 million in Jan 2017, improving to $43,103 million in Feb 2017. The trade deficit deteriorated to $44,531 million in Mar 2017 and $47,384 million in Apr 2017, improving to $46,684 million in May 2017. The trade deficit improved to $45,609 million in Jun 2017 and to $44,162 million in Jul 2017. The trade deficit improved to $43,689 million in Aug 2017, improving to $43,571 million in Sep 2017. The trade deficit deteriorated to $45,478 million in Oct 2017, deteriorating to $49,120 million in Nov 2017. The trade deficit deteriorated to 50,376 million in Dec 2017, deteriorating to $52,113 million in Jan 2018. The trade deficit deteriorated to $53,818 million in Feb 2018, improving to $47,177 million in Mar 2018. The trade deficit worsened to $48,218 million in Apr 2018, improving to $44,352 million in May 2018. The trade deficit deteriorated to $47,431 million in Jun 2018, deteriorating to $52,442 million in Jul 2018. The trade deficit deteriorated to $54,889 million in Aug 2018 and deteriorated to $56,094 million in Sep 2018. The trade deficit deteriorated to $56,692 million in Oct 2018 and improved to $53,647 million in Nov 2018. The trade deficit deteriorated to $60,807 million in Dec 2018, improving to $53,817 million in Jan 2019. The trade deficit improved to $51,252 million in Feb 2019, deteriorating to $52,689 million in Mar 2019. The trade deficit improved to $51,304 million in Apr 2019, deteriorating to $54,835 million in May 2019. The trade deficit improved to $54,251 million in Jun 2019, improving to $53,173 million in Jul 2019. The trade deficit deteriorated to $53,927 million in Aug 2019, improving to $51,323 million in Sep 2019. The trade deficit improved to $47,448 million in Oct 2019, improving to $43,793 million in Nov 2019. The trade deficit deteriorated to $48,613 million in Dec 2019, improving to $45,482 million in Jan 2020. The trade deficit improved to $39,810 million in Feb 2020, deteriorating to $44,415 million in Mar 2020.

Table IIA-1, US, Trade Balance of Goods and Services Seasonally Adjusted Millions of Dollars and ∆%

Jan-2016

-41,957

179,030

-2.2

220,986

-1.5

Feb-2016

-45,224

180,488

0.8

225,712

2.1

Mar-2016

-38,454

179,884

-0.3

218,338

-3.3

Apr-2016

-38,922

182,164

1.3

221,086

1.3

May-2016

-40,372

183,392

0.7

223,764

1.2

Jun-2016

-43,856

184,470

0.6

228,325

2.0

Jul-2016

-41,360

185,977

0.8

227,337

-0.4

Aug-2016

-41,681

188,034

1.1

229,714

1.0

Sep-2016

-39,049

188,707

0.4

227,757

-0.9

Oct-2016

-42,002

187,115

-0.8

229,117

0.6

Nov-2016

-46,631

185,489

-0.9

232,121

1.3

Dec-2016

-43,475

191,089

3.0

234,564

1.1

Jan-2017

-46,417

192,190

0.6

238,607

1.7

Feb-2017

-43,103

192,602

0.2

235,704

-1.2

Mar-2017

-44,531

192,314

-0.1

236,844

0.5

Apr-2017

-47,384

191,562

-0.4

238,946

0.9

May-2017

-46,684

192,223

0.3

238,908

0.0

Jun-2017

-45,609

194,260

1.1

239,868

0.4

Jul-2017

-44,162

194,747

0.3

238,908

-0.4

Aug-2017

-43,689

195,565

0.4

239,254

0.1

Sep-2017

-43,571

198,166

1.3

241,737

1.0

Oct-2017

-45,478

199,315

0.6

244,792

1.3

Nov-2017

-49,120

202,904

1.8

252,024

3.0

Dec-2017

-50,376

206,700

1.9

257,076

2.0

Jan-2018

-52,113

202,575

-2.0

254,689

-0.9

Feb-2018

-53,818

205,607

1.5

259,425

1.9

Mar-2018

-47,177

209,937

2.1

257,114

-0.9

Apr-2018

-48,218

208,883

-0.5

257,102

0.0

May-2018

-44,352

213,341

2.1

257,692

0.2

Jun-2018

-47,431

210,967

-1.1

258,398

0.3

Jul-2018

-52,442

208,734

-1.1

261,175

1.1

Aug-2018

-54,889

207,758

-0.5

262,647

0.6

Sep-2018

-56,094

209,747

1.0

265,840

1.2

Oct-2018

-56,692

210,124

0.2

266,816

0.4

Nov-2018

-53,647

207,976

-1.0

261,623

-1.9

Dec-2018

-60,807

205,661

-1.1

266,468

1.9

Jan-2019

-53,817

206,296

0.3

260,114

-2.4

Feb-2019

-51,252

208,475

1.1

259,727

-0.1

Mar-2019

-52,689

210,716

1.1

263,405

1.4

Apr-2019

-51,304

206,536

-2.0

257,840

-2.1

May-2019

-54,835

211,453

2.4

266,289

3.3

Jun-2019

-54,251

207,485

-1.9

261,736

-1.7

Jul-2019

-53,173

208,120

0.3

261,293

-0.2

Aug-2019

-53,927

208,583

0.2

262,510

0.5

Sep-2019

-51,323

206,710

-0.9

258,033

-1.7

Oct-2019

-47,448

206,481

-0.1

253,929

-1.6

Nov-2019

-43,793

207,701

0.6

251,494

-1.0

Dec-2019

-48,613

209,476

0.9

258,089

2.6

Jan-2020

-45,482

208,307

-0.6

253,790

-1.7

Feb-2020

-39,810

207,747

-0.3

247,557

-2.5

Mar-2020

-44,415

187,745

-9.6

232,160

-6.2

Source: US Census Bureau

https://www.census.gov/foreign-trade/index.html

Table IIA-1B provides US exports, imports and the trade balance of goods. The US has not shown a trade surplus in trade of goods since 1976. The deficit of trade in goods deteriorated sharply during the boom years from 2000 to 2007. The deficit improved during the contraction in 2009 but deteriorated in the expansion after 2009. The deficit could deteriorate sharply with growth at full employment.

Table IIA-1B, US, International Trade Balance of Goods, Exports and Imports of Goods, Millions of Dollars, Census Basis

Balance

∆%

Exports

∆%

Imports

∆%

1960

4,608

(X)

19,626

(X)

15,018

(X)

1961

5,476

18.8

20,190

2.9

14,714

-2.0

1962

4,583

-16.3

20,973

3.9

16,390

11.4

1963

5,289

15.4

22,427

6.9

17,138

4.6

1964

7,006

32.5

25,690

14.5

18,684

9.0

1965

5,333

-23.9

26,699

3.9

21,366

14.4

1966

3,837

-28.1

29,379

10.0

25,542

19.5

1967

4,122

7.4

30,934

5.3

26,812

5.0

1968

837

-79.7

34,063

10.1

33,226

23.9

1969

1,289

54.0

37,332

9.6

36,043

8.5

1970

3,224

150.1

43,176

15.7

39,952

10.8

1971

-1,476

-145.8

44,087

2.1

45,563

14.0

1972

-5,729

288.1

49,854

13.1

55,583

22.0

1973

2,389

-141.7

71,865

44.2

69,476

25.0

1974

-3,884

-262.6

99,437

38.4

103,321

48.7

1975

9,551

-345.9

108,856

9.5

99,305

-3.9

1976

-7,820

-181.9

116,794

7.3

124,614

25.5

1977

-28,352

262.6

123,182

5.5

151,534

21.6

1978

-30,205

6.5

145,847

18.4

176,052

16.2

1979

-23,922

-20.8

186,363

27.8

210,285

19.4

1980

-19,696

-17.7

225,566

21.0

245,262

16.6

1981

-22,267

13.1

238,715

5.8

260,982

6.4

1982

-27,510

23.5

216,442

-9.3

243,952

-6.5

1983

-52,409

90.5

205,639

-5.0

258,048

5.8

1984

-106,702

103.6

223,976

8.9

330,678

28.1

1985

-117,711

10.3

218,815

-2.3

336,526

1.8

1986

-138,279

17.5

227,159

3.8

365,438

8.6

1987

-152,119

10.0

254,122

11.9

406,241

11.2

1988

-118,526

-22.1

322,426

26.9

440,952

8.5

1989

-109,399

-7.7

363,812

12.8

473,211

7.3

1990

-101,719

-7.0

393,592

8.2

495,311

4.7

1991

-66,723

-34.4

421,730

7.1

488,453

-1.4

1992

-84,501

26.6

448,164

6.3

532,665

9.1

1993

-115,568

36.8

465,091

3.8

580,659

9.0

1994

-150,630

30.3

512,626

10.2

663,256

14.2

1995

-158,801

5.4

584,742

14.1

743,543

12.1

1996

-170,214

7.2

625,075

6.9

795,289

7.0

1997

-180,522

6.1

689,182

10.3

869,704

9.4

1998

-229,758

27.3

682,138

-1.0

911,896

4.9

1999

-328,821

43.1

695,797

2.0

1,024,618

12.4

2000

-436,104

32.6

781,918

12.4

1,218,022

18.9

2001

-411,899

-5.6

729,100

-6.8

1,140,999

-6.3

2002

-468,262

13.7

693,104

-4.9

1,161,366

1.8

2003

-532,350

13.7

724,771

4.6

1,257,121

8.2

2004

-654,829

23.0

814,875

12.4

1,469,703

16.9

2005

-772,374

18.0

901,082

10.6

1,673,456

13.9

2006

-827,970

7.2

1,025,969

13.9

1,853,939

10.8

2007

-808,765

-2.3

1,148,197

11.9

1,956,962

5.6

2008

-816,200

0.9

1,287,441

12.1

2,103,641

7.5

2009

-503,583

-38.3

1,056,042

-18.0

1,559,625

-25.9

2010

-635,365

26.2

1,278,493

21.1

1,913,858

22.7

2011

-725,447

14.2

1,482,507

16.0

2,207,954

15.4

2012

-730,446

0.7

1,545,821

4.3

2,276,267

3.1

2013

-689,470

-5.6

1,578,517

2.1

2,267,987

-0.4

2014

-734,482

6.5

1,621,874

2.7

2,356,356

3.9

2015

-745,483

1.5

1,503,328

-7.3

2,248,811

-4.6

2016

-735,326

-1.4

1,451,460

-3.5

2,186,786

-2.8

2017

-793,411

7.9

1,546,473

6.5

2,339,884

7.0

2018

-874,814

10.3

1,665,992

7.7

2,540,806

8.6

2019

-852,788

-2.5

1,645,625

-1.2

2,498,413

-1.7

Source: US Census Bureau

https://www.census.gov/foreign-trade

There is recent sharp deterioration of the US trade balance and the three-month moving average in Chart IIA-1 of the US Census Bureau with further improvement in Jan-Feb 2019. There is marginal improvement in Jun-Nov 2019 with deterioration in Dec 2019. There is improvement in Jan-Feb 2020 with deterioration in Mar 2020.

clip_image002

Chart IIA-1A, US, International Trade Balance, Exports and Imports of Goods and Services and Three-Month Moving Average, USD Billions

Source: US Census Bureau

https://www.census.gov/foreign-trade/index.html

Chart IIA-1A of the US Census Bureau of the Department of Commerce shows that the trade deficit (gap between exports and imports) fell during the economic contraction after 2007 but has grown again during the expansion. The low average rate of growth of GDP of 2.3 percent during the expansion beginning since IIIQ2009 does not deteriorate further the trade balance. Higher rates of growth may cause sharper deterioration.

clip_image004

Chart IIA-1, US, International Trade Balance, Exports and Imports of Goods and Services USD Billions

Source: US Census Bureau

https://www.census.gov/foreign-trade/data/ustrade.jpg

Table IIA-2B provides the US international trade balance, exports and imports of goods and services on an annual basis from 1960 to 2019. The trade balance deteriorated sharply over the long term. The US has a large deficit in goods or exports less imports of goods but it has a surplus in services that helps to reduce the trade account deficit or exports less imports of goods and services. The current account deficit at 2.8 percent in IVQ2018 decreases to 2.6 percent in IQ2019. The current account deficit decreases to 2.4 percent in IIQ2019. The current account deficit decreases to 2.3 percent in IIIQ2019. The current account deficit decreased to 2.0 percent in IVQ2019. The absolute value of the net international investment position at $9.6 trillion in IVQ2018 increases to $10.2 trillion in IQ2018. The absolute value of the net international investment position increases at $10.6 trillion in IIQ2019. The absolute value of the net international investment position increases to $10.98 trillion in IIIQ2019. The absolute value of the net international investment position increased to $10.99 trillion in IVQ2019. The ratio of the current account deficit to GDP has stabilized below 3 percent of GDP compared with much higher percentages before the recession but is combined now with much higher imbalance in the Treasury budget (see Pelaez and Pelaez, The Global Recession Risk (2007), Globalization and the State, Vol. II (2008b), 183-94, Government Intervention in Globalization (2008c), 167-71). There is still a major challenge in the combined deficits in current account and in federal budgets. The final rows of Table IIA-2B show marginal improvement of the trade deficit from $549,699 million in 2011 to lower $537,408 million in 2012 with exports growing 4.3 percent and imports 3.0 percent. The trade balance improved further to deficit of $461,135 million in 2013 with growth of exports of 3.4 percent while imports virtually stagnated. The trade deficit deteriorated in 2014 to $489,584 million with growth of exports of 3.6 percent and of imports of 4.0 percent. The trade deficit deteriorated in 2015 to $498,525 million with decrease of exports of 4.6 percent and decrease of imports of 3.5 percent. The trade deficit deteriorated in 2016 to $502,982 million with decrease of exports of 2.2 percent and decrease of imports of 1.7 percent. The trade deficit deteriorated in 2017 to $550,123 million with growth of exports of 6.2 percent and of imports of 6.8 percent. The trade deficit deteriorated in 2018 to $627,679 million with growth of exports of 6.3 percent and of imports of 7.8 percent. The trade deficit improved in 2019 to $616,425 million with decrease of exports of 0.1 percent and decrease of imports of 0.5 percent. Growth and commodity shocks under alternating inflation waves (https://cmpassocregulationblog.blogspot.com/2020/04/valuations-of-risk-financial-assets.html) have deteriorated the trade deficit from the low of $383,774 million in 2009.

Table IIA-2B, US, International Trade Balance of Goods and Services, Exports and Imports of Goods and Services, SA, Millions of Dollars, Balance of Payments Basis

1960

3,508

25,940

22,432

1961

4,195

26,403

1.8

22,208

-1.0

1962

3,370

27,722

5.0

24,352

9.7

1963

4,210

29,620

6.8

25,410

4.3

1964

6,022

33,341

12.6

27,319

7.5

1965

4,664

35,285

5.8

30,621

12.1

1966

2,939

38,926

10.3

35,987

17.5

1967

2,604

41,333

6.2

38,729

7.6

1968

250

45,543

10.2

45,293

16.9

1969

91

49,220

8.1

49,129

8.5

1970

2,254

56,640

15.1

54,386

10.7

1971

-1,302

59,677

5.4

60,979

12.1

1972

-5,443

67,222

12.6

72,665

19.2

1973

1,900

91,242

35.7

89,342

23.0

1974

-4,293

120,897

32.5

125,190

40.1

1975

12,404

132,585

9.7

120,181

-4.0

1976

-6,082

142,716

7.6

148,798

23.8

1977

-27,246

152,301

6.7

179,547

20.7

1978

-29,763

178,428

17.2

208,191

16.0

1979

-24,565

224,131

25.6

248,696

19.5

1980

-19,407

271,834

21.3

291,241

17.1

1981

-16,172

294,398

8.3

310,570

6.6

1982

-24,156

275,236

-6.5

299,391

-3.6

1983

-57,767

266,106

-3.3

323,874

8.2

1984

-109,072

291,094

9.4

400,166

23.6

1985

-121,880

289,070

-0.7

410,950

2.7

1986

-138,538

310,033

7.3

448,572

9.2

1987

-151,684

348,869

12.5

500,552

11.6

1988

-114,566

431,149

23.6

545,715

9.0

1989

-93,141

487,003

13.0

580,144

6.3

1990

-80,864

535,233

9.9

616,097

6.2

1991

-31,135

578,344

8.1

609,479

-1.1

1992

-39,212

616,882

6.7

656,094

7.6

1993

-70,311

642,863

4.2

713,174

8.7

1994

-98,493

703,254

9.4

801,747

12.4

1995

-96,384

794,387

13.0

890,771

11.1

1996

-104,065

851,602

7.2

955,667

7.3

1997

-108,273

934,453

9.7

1,042,726

9.1

1998

-166,140

933,174

-0.1

1,099,314

5.4

1999

-258,617

969,867

3.9

1,228,485

11.8

2000

-372,517

1,075,321

10.9

1,447,837

17.9

2001

-361,511

1,005,654

-6.5

1,367,165

-5.6

2002

-418,955

978,706

-2.7

1,397,660

2.2

2003

-493,890

1,020,418

4.3

1,514,308

8.3

2004

-609,883

1,161,549

13.8

1,771,433

17.0

2005

-714,245

1,286,022

10.7

2,000,267

12.9

2006

-761,716

1,457,642

13.3

2,219,358

11.0

2007

-705,375

1,653,548

13.4

2,358,922

6.3

2008

-708,726

1,841,612

11.4

2,550,339

8.1

2009

-383,774

1,583,053

-14.0

1,966,827

-22.9

2010

-495,225

1,853,038

17.1

2,348,263

19.4

2011

-549,699

2,125,947

14.7

2,675,646

13.9

2012

-537,408

2,218,354

4.3

2,755,762

3.0

2013

-461,135

2,294,199

3.4

2,755,334

0.0

2014

-489,584

2,376,657

3.6

2,866,241

4.0

2015

-498,525

2,266,691

-4.6

2,765,216

-3.5

2016

-502,982

2,215,839

-2.2

2,718,821

-1.7

2017

-550,123

2,352,546

6.2

2,902,669

6.8

2018

-627,679

2,501,310

6.3

3,128,989

7.8

2019

-616,425

2,498,034

-0.1

3,114,459

-0.5

Source: US Census Bureau

https://www.census.gov/foreign-trade/index.html

Chart IIA-2 of the US Census Bureau provides the US trade account in goods and services SA from Jan 1992 to Mar 2020. There is long-term trend of deterioration of the US trade deficit shown vividly by Chart IIA-2. The global recession from IVQ2007 to IIQ2009 reversed the trend of deterioration. Deterioration resumed together with incomplete recovery and was influenced significantly by the carry trade from zero interest rates to commodity futures exposures (these arguments are elaborated in 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 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). Earlier research focused on the long-term external imbalance of the US in the form of trade and current account deficits (Pelaez and Pelaez, The Global Recession Risk (2007), Globalization and the State Vol. II (2008b) 183-94, Government Intervention in Globalization (2008c), 167-71). US external imbalances have not been fully resolved and tend to widen together with improving world economic activity and commodity price shocks. There are additional effects for revaluation of the dollar with the Fed orienting interest rate increases now followed by decreases and inaction while the European Central Bank and the Bank of Japan determine negative nominal interest rates.

clip_image006

Chart IIA-2, US, Balance of Trade SA, Monthly, Millions of Dollars, Jan 1992-Mar 2020

Source: US Census Bureau

https://www.census.gov/foreign-trade/index.html

Chart IIA-3 of the US Census Bureau provides US exports SA from Jan 1992 to Feb 2020. There was sharp acceleration from 2003 to 2007 during worldwide economic boom and increasing inflation. Exports fell sharply during the financial crisis and global recession from IVQ2007 to IIQ2009. Growth picked up again together with world trade and inflation but stalled in the final segment with less rapid global growth and inflation. Exports contracted sharply in Mar 2020 in the lockdown of economic activity in the COVID-19 event.

clip_image008

Chart IIA-3, US, Exports SA, Monthly, Millions of Dollars Jan 1992-Mar 2020

Source: US Census Bureau

https://www.census.gov/foreign-trade/index.html

Growth was stronger between 2003 and 2007 with worldwide economic boom and inflation. There was sharp drop during the financial crisis and global recession. There is stalling import levels in the final segment in Chart IIA-4 resulting from weaker world economic growth and diminishing inflation because of risk aversion and portfolio reallocations from commodity exposures to equities. Imports contracted sharply in the lockdown of economic activity in the COVID-19 event.

clip_image010

Chart IIA-4, US, Imports SA, Monthly, Millions of Dollars Jan 1992-Mar 2020

Source: US Census Bureau

https://www.census.gov/foreign-trade/index.html

There is improvement of the US trade balance in goods in Table IIA-3 from deficit of $73,240 million in Mar 2019 to deficit of $65,599 million in Mar 2020. The nonpetroleum deficit decreased $3,552 million while the petroleum deficit decreased $4,308 million. Total exports of goods decreased 9.0 percent in Mar 2020 relative to a year earlier while total imports decreased 9.5 percent. Nonpetroleum exports decreased 9.0 percent from Mar 2019 to Mar 2020 while nonpetroleum imports decreased 7.6 percent. Petroleum imports decreased 29.7 percent with declining oil prices. Oil use contracted in the lockdown of economic activity in the COVID-19 event.

Table IIA-3, US, International Trade in Goods Balance, Exports and Imports $ Millions and ∆% SA

Mar 2020

Mar 2019

∆%

Total Balance

-65,599

-73,240

Petroleum

2,100

-2,208

Non-Petroleum

-66,476

-70,028

Total Exports

128,110

140,758

-9.0

Petroleum

14,107

14,865

-5.1

Non-Petroleum

113,906

125,210

-9.0

Total Imports

193,709

213,998

-9.5

Petroleum

12,007

17,072

-29.7

Non-Petroleum

180,382

195,237

-7.6

Details may not add because of rounding and seasonal adjustment

Source: US Census Bureau

https://www.census.gov/foreign-trade/index.html

US exports and imports of goods not seasonally adjusted in Jan-Mar 2020 and Jan-Mar 2019 are in Table IIA-4. The rate of growth of exports was minus 3.1 percent and minus 4.9 percent for imports. The US has partial hedge of commodity price increases in exports of agricultural commodities that increased 1.0 percent and of mineral fuels that increased 10.1 percent both because prices of raw materials and commodities increase and fall recurrently because of shocks of risk aversion and portfolio reallocations. The US exports a growing amount of crude oil, increasing 10.7 percent in cumulative Jan-Mar 2020 relative to a year earlier. US exports and imports consist mostly of manufactured products, with less rapidly increasing prices. US manufactured exports decreased 4.0 percent while manufactured imports decreased 5.4 percent. Significant part of the US trade imbalance originates in imports of mineral fuels decreasing 11.1 percent and petroleum decreasing 7.5 percent with wide oscillations in oil prices. The limited hedge in exports of agricultural commodities and mineral fuels compared with substantial imports of mineral fuels and crude oil results in waves of deterioration of the terms of trade of the US, or export prices relative to import prices, originating in commodity price increases caused by carry trades from zero interest rates. These waves are similar to those in worldwide inflation.

Table IIA-4, US, Exports and Imports of Goods, Not Seasonally Adjusted Millions of Dollars and %, Census Basis

Jan-Mar 2020 $ Millions

Jan-Mar 2019 $ Millions

∆%

Exports

395,682

408,509

-3.1

Manufactured

269,568

280,803

-4.0

Agricultural
Commodities

34,634

34,300

1.0

Mineral Fuels

51,284

46,595

10.1

Petroleum

40,481

36,567

10.7

Imports

569,058

598,493

-4.9

Manufactured

490,314

518,187

-5.4

Agricultural
Commodities

34,659

33,318

4.0

Mineral Fuels

40,828

45,923

-11.1

Petroleum

38,439

41,571

-7.5

Source: US Census Bureau

https://www.census.gov/foreign-trade/index.html

Table IIA-4A provides the United States balance of trade in goods, exports of goods and imports of goods NSA in millions of US dollars and percent share in Jan-Mar 2020. North America, consisting of Mexico and Canada, have joint share of 32.7 percent of exports and 28.5 percent of imports. The combined share of North America and Europe is 57.2 percent of exports and 54.3 percent of imports. The share of the Pacific Rim in exports is 23.1 percent and 30.3 percent of imports.

Table IIA-4A United States, Balance of Trade in Goods, Exports in Goods and Imports of Goods, NSA, Millions of US Dollars

Jan-Mar 2020

Millions USD

Million USD

Percent

Million USD

Percent

Region/Country

Balance

Exports

Imports

Total Census Basis

-173,376

395,682

569,058

North America*

-32,769

129,580

32.7

162,349

28.5

Europe

-49,760

97,026

24.5

146,786

25.8

Euro Area

-34,209

62,836

15.9

97,045

17.1

Pacific Rim

-80,786

91,511

23.1

172,297

30.3

China

-53,897

22,002

5.6

75,899

13.3

Japan

-15,121

18,142

4.6

33,263

5.8

Brazil

4,670

10,345

2.6

5,675

1.0

*Canada and Mexico

Source: US Census Bureau

https://www.census.gov/foreign-trade/index.html

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

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

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

T= (∆Pe/∆Pi)∆Q

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Summerhill (2015) contributes momentous solid facts and analysis with an ideal method combining economic theory, econometrics, international comparisons, data reconstruction and exhaustive archival research. Summerhill (2015) finds that Brazil committed to service of sovereign foreign and internal debt. Contrary to conventional wisdom, Brazil generated primary fiscal surpluses during most of the Empire until 1889 (Summerhill 2015, 37-8, Figure 2.1). Econometric tests by Summerhill (2015, 19-44) show that Brazil’s sovereign debt was sustainable. Sovereign credibility in the North-Weingast (1989) sense spread to financial development that provided the capital for modernization in England and parts of Europe (see Cameron 1961, 1967). Summerhill (2015, 3, 194-6, Figure 7.1) finds that “Brazil’s annual cost of capital in London fell from a peak of 13.9 percent in 1829 to only 5.12 percent in 1889. Average rates on secured loans in the private sector in Rio, however, remained well above 12 percent through 1850.” Financial development would have financed diversification of economic activities, increasing productivity and wages and ensuring economic growth. Brazil restricted creation of limited liability enterprises (Summerhill 2015, 151-82) that prevented raising capital with issue of stocks and corporate bonds. Cameron (1961) analyzed how the industrial revolution in England spread to France and then to the rest of Europe. The Société Générale de Crédit Mobilier of Émile and Isaac Péreire provided the “mobilization of credit” for the new economic activities (Cameron 1961). Summerhill (2015, 151-9) provides facts and analysis demonstrating that regulation prevented the creation of a similar vehicle for financing modernization by Irineu Evangelista de Souza, the legendary Visconde de Mauá. Regulation also prevented the use of negotiable bearing notes of the Caisse Générale of Jacques Lafitte (Cameron 1961, 118-9). The government also restricted establishment and independent operation of banks (Summerhill 2015, 183-214). Summerhill (2015, 198-9) measures concentration in banking that provided economic rents or a social loss. The facts and analysis of Summerhill (2015) provide convincing evidence in support of the economic theory of regulation, which postulates that regulated entities capture the process of regulation to promote their self-interest. There appears to be a case that excessively centralized government can result in regulation favoring private instead of public interests with adverse effects on economic activity. The contribution of Summerhill (2015) explains why Brazil did not benefit from trade as an engine of growth—as did regions of recent settlement in the vision of nineteenth-century trade and development of Ragnar Nurkse (1959)—partly because of restrictions on financing and incorporation. Professor Rondo E. Cameron, in his memorable A Concise Economic History of the World (Cameron 1989, 307-8), finds that “from a broad spectrum of possible forms of interaction between the financial sector and other sectors of the economy that requires its services, one can isolate three type-cases: (1) that in which the financial sector plays a positive, growth-inducing role; (2) that in which the financial sector is essentially neutral or merely permissive; and (3) that in which inadequate finance restricts or hinders industrial and commercial development.” Summerhill (2015) proves exhaustively that Brazil failed to modernize earlier because of the restrictions of an inadequate institutional financial arrangement plagued by regulatory capture for self-interest.

There is analysis of the origins of current tensions in the world economy (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), Regulation of Banks and Finance (2009b), International Financial Architecture (2005), The Global Recession Risk (2007), Globalization and the State Vol. I (2008a), Globalization and the State Vol. II (2008b), Government Intervention in Globalization (2008c)).

The US Bureau of Economic Analysis (BEA) measures the terms of trade index of the United States quarterly since 1947 and annually since 1929. Chart IID-1 provides the terms of trade of the US quarterly since 1947 with significant long-term deterioration from 150.474 in IQ1947 to 109.177 in IQ2020. Significant part of the deterioration occurred from the 1960s to the 1980s followed by some recovery and then stability.

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Chart IID-1, United States Terms of Trade Quarterly Index 1947-2020

Source: Bureau of Economic Analysis

https://apps.bea.gov/iTable/iTable.cfm?reqid=19&step=3&isuri=1&1921=survey&1903=46#reqid=19&step=3&isuri=1&1921=survey&1903=46

Chart IID-1A provides the annual US terms of trade from 1929 to 2019. The index fell from 142.590 in 1929 to 109.928 in 2019. There is decline from 1971 to a much lower plateau.

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Chart IID-1A, United States Terms of Trade Annual Index 1929-2019, Annual

Source: Bureau of Economic Analysis

https://apps.bea.gov/iTable/iTable.cfm?reqid=19&step=3&isuri=1&1921=survey&1903=46#reqid=19&step=3&isuri=1&1921=survey&1903=46

Chart IID-1B provides the US terms of trade index, index of terms of trade of nonpetroleum goods and index of terms of trade of goods. The terms of trade of nonpetroleum goods dropped sharply from the mid-1980s to 1995, recovering significantly until 2014, dropping and then recovering again into 2019. There is relative stability in the terms of trade of nonpetroleum goods from 1967 to 2019 but sharp deterioration in the overall index and the index of goods.

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Chart IID-1B, United States Terms of Trade Annual Indexes 1967-2019, Annual

Source: Bureau of Economic Analysis

https://apps.bea.gov/iTable/iTable.cfm?reqid=19&step=3&isuri=1&1921=survey&1903=46#reqid=19&step=3&isuri=1&1921=survey&1903=46

The US Bureau of Labor Statistics (BLS) provides measurements of US international terms of trade. The measurement by the BLS is as follows (https://www.bls.gov/mxp/terms-of-trade.htm):

“BLS terms of trade indexes measure the change in the U.S. terms of trade with a specific country, region, or grouping over time. BLS terms of trade indexes cover the goods sector only.

To calculate the U.S. terms of trade index, take the U.S. all-export price index for a country, region, or grouping, divide by the corresponding all-import price index and then multiply the quotient by 100. Both locality indexes are based in U.S. dollars and are rounded to the tenth decimal place for calculation. The locality indexes are normalized to 100.0 at the same starting point.
TTt=(LODt/LOOt)*100,
where
TTt=Terms of Trade Index at time t
LODt=Locality of Destination Price Index at time t
LOOt=Locality of Origin Price Index at time t
The terms of trade index measures whether the U.S. terms of trade are improving or deteriorating over time compared to the country whose price indexes are the basis of the comparison. When the index rises, the terms of trade are said to improve; when the index falls, the terms of trade are said to deteriorate. The level of the index at any point in time provides a long-term comparison; when the index is above 100, the terms of trade have improved compared to the base period, and when the index is below 100, the terms of trade have deteriorated compared to the base period.”

Chart IID-3 provides the BLS terms of trade of the US with Canada. The index increases from 100.0 in Dec 2017 to 117.8 in Dec 2018 and decreases to 103.8 in Feb 2020. The index increases to 111.0 in Mar 2020.

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Chart IID-3, US Terms of Trade, Monthly, All Goods, Canada, NSA, Dec 2017=100

Source: Bureau of Labor Statistics https://www.bls.gov/mxp/data.htm

Chart IID-4 provides the BLS terms of trade of the US with the European Union. There is improvement from 100.0 in Dec 2017 to 102.1 in Feb 2020 followed by decrease to 100.4 in Mar 2020.

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Chart IID-4, US Terms of Trade, Monthly, All Goods, European Union, NSA, Dec 2017=100

Source: Bureau of Labor Statistics https://www.bls.gov/mxp/data.htm

Chart IID-4 provides the BLS terms of trade of the US with Mexico. There is improvement from 100.0 in Dec 2017 to 100.8 in Mar 2020.

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Chart IID-5, US Terms of Trade, Monthly, All Goods, Mexico, NSA, Dec 2017=100

Source: Bureau of Labor Statistics https://www.bls.gov/mxp/data.htm

Chart IID-4 provides the BLS terms of trade of the US with China. There is deterioration from 100.0 in Dec 2017 to 98.0 in Sep 2018, improvement to 100.6 in Apr 2019 with deterioration to 96.4 in Mar 2020.

clip_image020

Chart IID-6, US Terms of Trade, Monthly, All Goods, China, NSA, Dec 2017=100

Source: Bureau of Labor Statistics https://www.bls.gov/mxp/data.htm

Chart IID-4 provides the BLS terms of trade of the US with Japan. There is deterioration from 100.0 in Dec 2017 to 99.2 in Dec 2019 and deterioration to 94.5 in Mar 2020.

clip_image021

Chart IID-7, US Terms of Trade, Monthly, All Goods, Japan, NSA, Dec 2017=100

Source: Bureau of Labor Statistics https://www.bls.gov/mxp/data.htm

Manufacturing is underperforming in the lost cycle of the global recession. Manufacturing (NAICS) in Mar 2020 is lower by 9.6 percent relative to the peak in Jun 2007, as shown in Chart V-3A. Manufacturing (SIC) in Mar 2020 at 98.5511 is lower by 12.3 percent relative to the peak at 112.3113 in Jun 2007. There is cyclical uncommonly slow growth in the US instead of allegations of secular stagnation. There is similar behavior in manufacturing. There is classic research on analyzing deviations of output from trend (see for example Schumpeter 1939, Hicks 1950, Lucas 1975, Sargent and Sims 1977). The long-term trend is growth of manufacturing at average 3.1 percent per year from Mar 1919 to Mar 2020. Growth at 3.1 percent per year would raise the NSA index of manufacturing output (SIC, Standard Industrial Classification) from 108.2987 in Dec 2007 to 157.4135 in Mar 2020. The actual index NSA in Mar 2020 is 98.5511 which is 37.4 percent below trend. The deterioration of manufacturing in Mar 2020 originates in the lockdown of economic activity in the COVID-19 event. Manufacturing grew at the average annual rate of 3.3 percent between Dec 1986 and Dec 2006. Growth at 3.3 percent per year would raise the NSA index of manufacturing output (SIC, Standard Industrial Classification) from 108.2987 in Dec 2007 to 161.1952 in Mar 2020. The actual index NSA in Mar 2020 is 98.5511, which is 38.9 percent below trend. Manufacturing output grew at average 1.7 percent between Dec 1986 and Mar 2020. Using trend growth of 1.7 percent per year, the index would increase to 133.1389 in Mar 2020. The output of manufacturing at 98.5511 in Mar 2020 is 26.0 percent below trend under this alternative calculation. Using the NAICS (North American Industry Classification System), manufacturing output fell from the high of 110.5147 in Jun 2007 to the low of 86.3800 in Apr 2009 or 21.8 percent. The NAICS manufacturing index increased from 86.3800 in Apr 2009 to 99.9350 in Mar 2020 or 15.7 percent. The NAICS manufacturing index increased at the annual equivalent rate of 3.5 percent from Dec 1986 to Dec 2006. Growth at 3.5 percent would increase the NAICS manufacturing output index from 106.6777 in Dec 2007 to 162.5897 in Mar 2020. The NAICS index at 99.9350 in Mar 2020 is 38.5 below trend. The NAICS manufacturing output index grew at 1.7 percent annual equivalent from Dec 1999 to Dec 2006. Growth at 1.7 percent would raise the NAICS manufacturing output index from 106.6777 in Dec 2007 to 131.1461 in Mar 2020. The NAICS index at 99.9350 in Mar 2020 is 23.8 percent below trend under this alternative calculation.

clip_image022

Chart V-3A, United States Manufacturing (NAICS) NSA, Jun 2007 to Mar 2020

Board of Governors of the Federal Reserve System

https://www.federalreserve.gov/releases/g17/Current/default.htm

Chart V-3B provides the civilian noninstitutional population of the United States, or those available for work. The civilian noninstitutional population increased from 231.713 million in Jun 2007 to 259.758 million in Mar 2020 or 28.045 million.

clip_image023

Chart V-3B, United States, Civilian Noninstitutional Population, Million, NSA, Jan 2007 to Mar 2020

Source: US Bureau of Labor Statistics

https://www.bls.gov/

Chart V-3C provides nonfarm payroll manufacturing jobs in the United States from Jan 2007 to Mar 2020. Nonfarm payroll manufacturing jobs fell from 13.987 million in Jun 2007 to 12.783 million in Mar 2020, or 1.204 million.

clip_image024

Chart V-3C, United States, Payroll Manufacturing Jobs, NSA, Jan 2007 to Mar 2020, Thousands

Source: US Bureau of Labor Statistics

https://www.bls.gov/

Chart V-3D provides the index of US manufacturing (NAICS) from Jan 1972 to Mar 2020. The index continued increasing during the decline of manufacturing jobs after the early 1980s. There are likely effects of changes in the composition of manufacturing with also changes in productivity and trade.

clip_image025

Chart V-3D, United States Manufacturing (NAICS) NSA, Jan 1972 to Mar 2020

Source: Board of Governors of the Federal Reserve System

https://www.federalreserve.gov/releases/g17/Current/default.htm

Chart V-3E provides the US noninstitutional civilian population, or those in condition of working, from Jan 1948, when first available, to Mar 2020. The noninstitutional civilian population increased from 170.042 million in Jun 1981 to 259.758 million in Mar 2020, or 89.716 million.

clip_image026

Chart V-3E, United States, Civilian Noninstitutional Population, Million, NSA, Jan 1948 to Mar 2020

Source: US Bureau of Labor Statistics

https://www.bls.gov/

Chart V-3F provides manufacturing jobs in the United States from Jan 1939 to Mar 2020. Nonfarm payroll manufacturing jobs decreased from a peak of 18.890 million in Jun 1981 to 12.783 million in Mar 2020.

clip_image027

Chart V-3C, United States, Payroll Manufacturing Jobs, NSA, Jan 1939 to Mar 2020, Thousands

Source: US Bureau of Labor Statistics

https://www.bls.gov/

Table I-13A provides national income without capital consumption by industry with estimates based on the Standard Industrial Classification (SIC). The share of agriculture declines from 8.7 percent in 1948 to 1.7 percent in 1987 while the share of manufacturing declines from 30.2 percent in 1948 to 19.4 percent in 1987. Colin Clark (1957) pioneered the analysis of these trends over long periods.

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

1948

% Total

1987

% Total

National Income WCCA

249.1

100.0

4,029.9

100.0

Domestic Industries

247.7

99.4

4,012.4

99.6

Private Industries

225.3

90.4

3,478.8

86.3

Agriculture

21.7

8.7

66.5

1.7

Mining

5.8

2.3

42.5

1.1

Construction

11.1

4.5

201.0

5.0

Manufacturing

75.2

30.2

780.2

19.4

Durable Goods

37.5

15.1

458.4

11.4

Nondurable Goods

37.7

15.1

321.8

8.0

Transportation PUT

21.3

8.5

317.7

7.9

Transportation

13.8

5.5

127.2

3.2

Communications

3.8

1.5

96.7

2.4

Electric, Gas, SAN

3.7

1.5

93.8

2.3

Wholesale Trade

17.1

6.9

283.1

7.0

Retail Trade

28.8

11.6

400.4

9.9

Finance, INS, RE

22.9

9.2

651.7

16.2

Services

21.4

8.6

735.7

18.3

Government

22.4

9.0

533.6

13.2

Rest of World

1.5

0.6

17.5

0.4

2003.9

11.6

2016.3

11.5

252.6

1.5

257.9

1.5

Notes: Using 1972 Standard Industrial Classification (SIC). Percentages Calculates from Unrounded Data; WCCA: Without Capital Consumption Adjustment by Industry; RE: Real Estate; PUT: Public Utilities; SAN: Sanitation

Source: US Bureau of Economic Analysis

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

Table I-13B provides national income without capital consumption estimated based on the 2012 North American Industry Classification (NAICS). The share of manufacturing fell from 14.9 percent in 1998 to 9.5 percent in 2018.

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

1998

% Total

2018

% Total

National Income WCCA

7,744.4

100.0

17,136.5

100.0

Domestic Industries

7,727.0

99.8

16,868.6

98.4

Private Industries

6,793.3

87.7

14,889.6

86.9

Agriculture

72.7

0.9

119.7

0.7

Mining

74.2

1.0

202.7

1.2

Utilities

134.4

1.7

157.7

0.9

Construction

379.2

4.9

902.5

5.3

Manufacturing

1156.4

14.9

1635.3

9.5

Durable Goods

714.9

9.2

964.9

5.6

Nondurable Goods

441.5

5.7

670.4

3.9

Wholesale Trade

512.8

6.6

958.2

5.6

Retail Trade

610.0

7.9

1124.1

6.6

Transportation & WH

246.1

3.2

554.4

3.2

Information

294.3

3.8

629.7

3.7

Finance, Insurance, RE

1280.9

16.5

3058.8

17.8

Professional & Business Services

889.8

11.5

2522.6

14.7

Education, Health Care

607.1

7.8

1764.8

10.3

Arts, Entertainment

290.5

3.8

756.6

4.4

Other Services

244.9

3.3

502.5

2.9

Government

933.7

12.1

1979.0

11.5

Rest of the World

17.4

0.2

267.9

1.6

Notes: Estimates based on 2012 North American Industry Classification System (NAICS). Percentages Calculates from Unrounded Data; WCCA: Without Capital Consumption Adjustment by Industry; WH: Warehousing; RE, includes rental and leasing: Real Estate; Art, Entertainment includes recreation, accommodation and food services; BS: business services

Source: US Bureau of Economic Analysis

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

The current account of the US balance of payments is in Table VI-3A for IVQ2018 and IIVQ2019. The Bureau of Economic Analysis analyzes as follows (https://www.bea.gov/system/files/2020-03/trans419.pdf):

“The U.S. current account deficit, which reflects the combined balances on trade in goods and services and income flows between U.S. residents and residents of other countries, narrowed by $15.6 billion, or 12.4 percent, to $109.8 billion in the fourth quarter of 2019, according to statistics from the U.S. Bureau of Economic Analysis (BEA). The revised third quarter deficit was $125.4 billion. The fourth quarter deficit was 2.0 percent of current dollar gross domestic product (GDP), down from 2.3 percent in the third quarter. The $15.6 billion narrowing of the current account deficit in the fourth quarter mainly reflected a reduced deficit on goods that was partly offset by an expanded deficit on secondary income.”

The US has a large deficit in goods or exports less imports of goods but it has a surplus in services that helps to reduce the trade account deficit or exports less imports of goods and services. The current account deficit of the US not seasonally adjusted decreased from $150.9 billion in IVQ2018 to $113.9 billion in IVQ2019. The current account deficit seasonally adjusted at annual rate decreased from 2.8 percent of GDP in IVQ2018 to 2.3 percent of GDP in IIIQ2019, decreasing to 2.0 percent of GDP in IIIQ2019. The ratio of the current account deficit to GDP has stabilized below 3 percent of GDP compared with much higher percentages before the recession but is combined now with much higher imbalance in the Treasury budget (see Pelaez and Pelaez, The Global Recession Risk (2007), Globalization and the State, Vol. II (2008b), 183-94, Government Intervention in Globalization (2008c), 167-71). There is still a major challenge in the combined deficits in current account and in federal budgets.

Table VI-3A, US, Balance of Payments, Millions of Dollars NSA

IVQ2018

IVQ2019

Difference

Goods Balance

-239,798

-209,057

-30,741

X Goods

423,085

417,034

-1.4 ∆%

M Goods

-662,883

-626,091

-5.6 ∆%

Services Balance

61,781

64,006

2,225

X Services

206,056

213,612

3.7 ∆%

M Services

-144,275

-149,606

3.7 ∆%

Balance Goods and Services

-178,018

-145,051

-32,967

Exports of Goods and Services and Income Receipts

945,661

945,026

-635

Imports of Goods and Services and Income Payments

-1,096,515

-1,058,909

-37,606

Current Account Balance

-150,853

-113,883

-36,970

% GDP

IVQ2018

IVQ2019

IVQ2019

2.8

2.0

2.3

X: exports; M: imports

Balance on Current Account = Exports of Goods and Services – Imports of Goods and Services and Income Payments

Source: Bureau of Economic Analysis

https://www.bea.gov/data/economic-accounts/international#bop

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Chart VI-3B1, US, Current Account and Components Balances, Quarterly SA

Source: https://www.bea.gov/news/2019/us-international-transactions-first-quarter-2019-and-annual-update

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Chart VI-3B1, US, Current Account and Components Balances, Quarterly SA

Source: https://www.bea.gov/news/2020/us-international-transactions-fourth-quarter-and-year-2019

clip_image033

Chart VI-3B2, US, Current Account and Components Balances, Quarterly SA

Source: https://www.bea.gov/news/2020/us-international-transactions-fourth-quarter-and-year-2019

The Bureau of Economic Analysis (BEA) provides analytical insight and data on the 2017 Tax Cuts and Job Act:

“In the international transactions accounts, income on equity, or earnings, of foreign affiliates of U.S. multinational enterprises consists of a portion that is repatriated to the parent company in the United States in the form of dividends and a portion that is reinvested in foreign affiliates. In response to the 2017 Tax Cuts and Jobs Act, which generally eliminated taxes on repatriated earnings, some U.S. multinational enterprises repatriated accumulated prior earnings of their foreign affiliates. In the first, second, and fourth quarters of 2018, the repatriation of dividends exceeded current-period earnings, resulting in negative values being recorded for reinvested earnings. In the first quarter of 2019, dividends were $100.2 billion while reinvested earnings were $40.2 billion (see table below). The reinvested earnings are also reflected in the net acquisition of direct investment assets in the financial account (table 6). For more information, see "How does the 2017 Tax Cuts and Jobs Act affect BEA’s business income statistics?" and "How are the international transactions accounts affected by an increase in direct investment dividend receipts?"”

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Chart VI-3B, US, Direct Investment Earnings Receipts and Components

Source: https://www.bea.gov/news/2019/us-international-transactions-first-quarter-2019-and-annual-update

In their classic work on “unpleasant monetarist arithmetic,” Sargent and Wallace (1981, 2) consider a regime of domination of monetary policy by fiscal policy (emphasis added):

“Imagine that fiscal policy dominates monetary policy. The fiscal authority independently sets its budgets, announcing all current and future deficits and surpluses and thus determining the amount of revenue that must be raised through bond sales and seignorage. Under this second coordination scheme, the monetary authority faces the constraints imposed by the demand for government bonds, for it must try to finance with seignorage any discrepancy between the revenue demanded by the fiscal authority and the amount of bonds that can be sold to the public. Suppose that the demand for government bonds implies an interest rate on bonds greater than the economy’s rate of growth. Then if the fiscal authority runs deficits, the monetary authority is unable to control either the growth rate of the monetary base or inflation forever. If the principal and interest due on these additional bonds are raised by selling still more bonds, so as to continue to hold down the growth of base money, then, because the interest rate on bonds is greater than the economy’s growth rate, the real stock of bonds will growth faster than the size of the economy. This cannot go on forever, since the demand for bonds places an upper limit on the stock of bonds relative to the size of the economy. Once that limit is reached, the principal and interest due on the bonds already sold to fight inflation must be financed, at least in part, by seignorage, requiring the creation of additional base money.”

The alternative fiscal scenario of the CBO (2012NovCDR, 2013Sep17) resembles an economic world in which eventually the placement of debt reaches a limit of what is proportionately desired of US debt in investment portfolios. This unpleasant environment is occurring in various European countries.

The current real value of government debt plus monetary liabilities depends on the expected discounted values of future primary surpluses or difference between tax revenue and government expenditure excluding interest payments (Cochrane 2011Jan, 27, equation (16)). There is a point when adverse expectations about the capacity of the government to generate primary surpluses to honor its obligations can result in increases in interest rates on government debt.

First, Unpleasant Monetarist Arithmetic. Fiscal policy is described by Sargent and Wallace (1981, 3, equation 1) as a time sequence of D(t), t = 1, 2,…t, …, where D is real government expenditures, excluding interest on government debt, less real tax receipts. D(t) is the real deficit excluding real interest payments measured in real time t goods. Monetary policy is described by a time sequence of H(t), t=1,2,…t, …, with H(t) being the stock of base money at time t. In order to simplify analysis, all government debt is considered as being only for one time period, in the form of a one-period bond B(t), issued at time t-1 and maturing at time t. Denote by R(t-1) the real rate of interest on the one-period bond B(t) between t-1 and t. The measurement of B(t-1) is in terms of t-1 goods and [1+R(t-1)] “is measured in time t goods per unit of time t-1 goods” (Sargent and Wallace 1981, 3). Thus, B(t-1)[1+R(t-1)] brings B(t-1) to maturing time t. B(t) represents borrowing by the government from the private sector from t to t+1 in terms of time t goods. The price level at t is denoted by p(t). The budget constraint of Sargent and Wallace (1981, 3, equation 1) is:

D(t) = {[H(t) – H(t-1)]/p(t)} + {B(t) – B(t-1)[1 + R(t-1)]} (1)

Equation (1) states that the government finances its real deficits into two portions. The first portion, {[H(t) – H(t-1)]/p(t)}, is seigniorage, or “printing money.” The second part,

{B(t) – B(t-1)[1 + R(t-1)]}, is borrowing from the public by issue of interest-bearing securities. Denote population at time t by N(t) and growing by assumption at the constant rate of n, such that:

N(t+1) = (1+n)N(t), n>-1 (2)

The per capita form of the budget constraint is obtained by dividing (1) by N(t) and rearranging:

B(t)/N(t) = {[1+R(t-1)]/(1+n)}x[B(t-1)/N(t-1)]+[D(t)/N(t)] – {[H(t)-H(t-1)]/[N(t)p(t)]} (3)

On the basis of the assumptions of equal constant rate of growth of population and real income, n, constant real rate of return on government securities exceeding growth of economic activity and quantity theory equation of demand for base money, Sargent and Wallace (1981) find that “tighter current monetary policy implies higher future inflation” under fiscal policy dominance of monetary policy. That is, the monetary authority does not permanently influence inflation, lowering inflation now with tighter policy but experiencing higher inflation in the future.

Second, Unpleasant Fiscal Arithmetic. The tool of analysis of Cochrane (2011Jan, 27, equation (16)) is the government debt valuation equation:

(Mt + Bt)/Pt = Et∫(1/Rt, t+Ï„)st+Ï„dÏ„ (4)

Equation (4) expresses the monetary, Mt, and debt, Bt, liabilities of the government, divided by the price level, Pt, in terms of the expected value discounted by the ex-post rate on government debt, Rt, t+Ï„, of the future primary surpluses st+Ï„, which are equal to Tt+Ï„Gt+Ï„ or difference between taxes, T, and government expenditures, G. Cochrane (2010A) provides the link to a web appendix demonstrating that it is possible to discount by the ex post Rt, t+Ï„. The second equation of Cochrane (2011Jan, 5) is:

MtV(it, ·) = PtYt (5)

Conventional analysis of monetary policy contends that fiscal authorities simply adjust primary surpluses, s, to sanction the price level determined by the monetary authority through equation (5), which deprives the debt valuation equation (4) of any role in price level determination. The simple explanation is (Cochrane 2011Jan, 5):

“We are here to think about what happens when [4] exerts more force on the price level. This change may happen by force, when debt, deficits and distorting taxes become large so the Treasury is unable or refuses to follow. Then [4] determines the price level; monetary policy must follow the fiscal lead and ‘passively’ adjust M to satisfy [5]. This change may also happen by choice; monetary policies may be deliberately passive, in which case there is nothing for the Treasury to follow and [4] determines the price level.”

An intuitive interpretation by Cochrane (2011Jan 4) is that when the current real value of government debt exceeds expected future surpluses, economic agents unload government debt to purchase private assets and goods, resulting in inflation. If the risk premium on government debt declines, government debt becomes more valuable, causing a deflationary effect. If the risk premium on government debt increases, government debt becomes less valuable, causing an inflationary effect.

There are multiple conclusions by Cochrane (2011Jan) on the debt/dollar crisis and Global recession, among which the following three:

(1) The flight to quality that magnified the recession was not from goods into money but from private-sector securities into government debt because of the risk premium on private-sector securities; monetary policy consisted of providing liquidity in private-sector markets suffering stress

(2) Increases in liquidity by open-market operations with short-term securities have no impact; quantitative easing can affect the timing but not the rate of inflation; and purchase of private debt can reverse part of the flight to quality

(3) The debt valuation equation has a similar role as the expectation shifting the Phillips curve such that a fiscal inflation can generate stagflation effects similar to those occurring from a loss of anchoring expectations.

This analysis suggests that there may be a point of saturation of demand for United States financial liabilities without an increase in interest rates on Treasury securities. A risk premium may develop on US debt. Such premium is not apparent currently because of distressed conditions in the world economy and international financial system. Risk premiums are observed in the spread of bonds of highly indebted countries in Europe relative to bonds of the government of Germany.

The issue of global imbalances centered on the possibility of a disorderly correction (Pelaez and Pelaez, The Global Recession Risk (2007), Globalization and the State Vol. II (2008b) 183-94, Government Intervention in Globalization (2008c), 167-71). Such a correction has not occurred historically but there is no argument proving that it could not occur. The need for a correction would originate in unsustainable large and growing United States current account deficits (CAD) and net international investment position (NIIP) or excess of financial liabilities of the US held by foreigners net relative to financial liabilities of foreigners held by US residents. The IMF estimated that the US could maintain a CAD of two to three percent of GDP without major problems (Rajan 2004). The threat of disorderly correction is summarized by Pelaez and Pelaez, The Global Recession Risk (2007), 15):

“It is possible that foreigners may be unwilling to increase their positions in US financial assets at prevailing interest rates. An exit out of the dollar could cause major devaluation of the dollar. The depreciation of the dollar would cause inflation in the US, leading to increases in American interest rates. There would be an increase in mortgage rates followed by deterioration of real estate values. The IMF has simulated that such an adjustment would cause a decline in the rate of growth of US GDP to 0.5 percent over several years. The decline of demand in the US by four percentage points over several years would result in a world recession because the weakness in Europe and Japan could not compensate for the collapse of American demand. The probability of occurrence of an abrupt adjustment is unknown. However, the adverse effects are quite high, at least hypothetically, to warrant concern.”

The United States could be moving toward a situation typical of heavily indebted countries, requiring fiscal adjustment and increases in productivity to become more competitive internationally. The CAD and NIIP of the United States are not observed in full deterioration because the economy is well below trend. There are two complications in the current environment relative to the concern with disorderly correction in the first half of the past decade. In the release of Jun 14, 2013, the Bureau of Economic Analysis (http://www.bea.gov/newsreleases/international/transactions/2013/pdf/trans113.pdf) informs of revisions of US data on US international transactions since 1999:

“The statistics of the U.S. international transactions accounts released today have been revised for the first quarter of 1999 to the fourth quarter of 2012 to incorporate newly available and revised source data, updated seasonal adjustments, changes in definitions and classifications, and improved estimating methodologies.”

The BEA introduced new concepts and methods (http://www.bea.gov/international/concepts_methods.htm) in comprehensive restructuring on Jun 18, 2014 (http://www.bea.gov/international/modern.htm):

“BEA introduced a new presentation of the International Transactions Accounts on June 18, 2014 and will introduce a new presentation of the International Investment Position on June 30, 2014. These new presentations reflect a comprehensive restructuring of the international accounts that enhances the quality and usefulness of the accounts for customers and bring the accounts into closer alignment with international guidelines.”

Table IIA2-3 provides data on the US fiscal and balance of payments imbalances incorporating all revisions and methods. In 2007, the federal deficit of the US was $161 billion corresponding to 1.1 percent of GDP while the Congressional Budget Office estimates the federal deficit in 2012 at $1077 billion or 6.7 percent of GDP. The estimate of the deficit for 2013 is $680 billion or 4.1 percent of GDP. The combined record federal deficits of the US from 2009 to 2012 are $5094 billion or 31.6 percent of the estimate of GDP for fiscal year 2012 implicit in the CBO (CBO 2013Sep11) estimate of debt/GDP. The deficits from 2009 to 2012 exceed one trillion dollars per year, adding to $5.084 trillion in four years, using the fiscal year deficit of $1077 billion for fiscal year 2012, which is the worst fiscal performance since World War II. Federal debt in 2007 was $5035 billion, slightly less than the combined deficits from 2009 to 2012 of $5084 billion. Federal debt in 2012 was 70.3 percent of GDP (CBO 2015Jan26) and 72.2 percent of GDP in 2013, as shown in Table VI-3B with the latest revisions (https://www.cbo.gov/about/products/budget-economic-data#2) . This situation may worsen in the future (CBO 2013Sep17):

“Between 2009 and 2012, the federal government recorded the largest budget deficits relative to the size of the economy since 1946, causing federal debt to soar. Federal debt held by the public is now about 73 percent of the economy’s annual output, or gross domestic product (GDP). That percentage is higher than at any point in U.S. history except a brief period around World War II, and it is twice the percentage at the end of 2007. If current laws generally remained in place, federal debt held by the public would decline slightly relative to GDP over the next several years, CBO projects. After that, however, growing deficits would ultimately push debt back above its current high level. CBO projects that federal debt held by the public would reach 100 percent of GDP in 2038, 25 years from now, even without accounting for the harmful effects that growing debt would have on the economy. Moreover, debt would be on an upward path relative to the size of the economy, a trend that could not be sustained indefinitely.

The gap between federal spending and revenues would widen steadily after 2015 under the assumptions of the extended baseline, CBO projects. By 2038, the deficit would be 6½ percent of GDP, larger than in any year between 1947 and 2008, and federal debt held by the public would reach 100 percent of GDP, more than in any year except 1945 and 1946. With such large deficits, federal debt would be growing faster than GDP, a path that would ultimately be unsustainable.

Incorporating the economic effects of the federal policies that underlie the extended baseline worsens the long-term budget outlook. The increase in debt relative to the size of the economy, combined with an increase in marginal tax rates (the rates that would apply to an additional dollar of income), would reduce output and raise interest rates relative to the benchmark economic projections that CBO used in producing the extended baseline. Those economic differences would lead to lower federal revenues and higher interest payments. With those effects included, debt under the extended baseline would rise to 108 percent of GDP in 2038.”

The most recent CBO long-term budget on Jun 25, 2019 projects US federal debt at 144.0 percent of GDP in 2049 (Congressional Budget Office, The 2019 long-term budget outlook. Washington, DC, Jun 25 https://www.cbo.gov/publication/55331). Table VI-3B provides the balance of payments and net international investment position together with the fiscal imbalances of the US that were critical at the onset of the global recession after 2007 (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 ). These imbalances are exploding again with the fiscal stimulus of the COVID-19 event.

Table VI-3B, US, Current Account, NIIP, Fiscal Balance, Nominal GDP, Federal Debt and Direct Investment, Dollar Billions and %

2007

2008

2009

2010

2011

Goods &
Services

-705

-709

-384

-495

-549

Exports Goods & Services & Income Receipts

2559.3

2742.3

2283.1

2624.0

2981.5

Imports Goods & Services & Income Payments

-3270.4

-3423.6

-2655.6

-3055.3

-3427.2

Current Account

-711

-681

-373

-431

-445

NGDP

14452

14713

14449

14992

15543

Current Account % GDP

-4.9

-4.6

-2.6

-2.9

-2.9

NIIP

-1279

-3995

-2628

-2512

-4455

US Owned Assets Abroad

20705

19423

19426

21767

22209

Foreign Owned Assets in US

21984

23418

22054

24279

26664

NIIP % GDP

-8.8

-27.2

-18.2

-16.8

-28.7

Exports
Goods,
Services and
Income Receipts

2559

2742

2283

2624

2982

NIIP %
Exports
Goods,
Services and
Income Payments

-50

-146

-115

-96

-149

DIA MV

5858

3707

4945

5486

5215

DIUS MV

4134

3091

3619

4099

4199

Fiscal Balance

-161

-459

-1413

-1294

-1300

Fiscal Balance % GDP

-1.1

-3.1

-9.8

-8.7

-8.4

Federal   Debt

5035

5803

7545

9019

10128

Federal Debt % GDP

35.2

39.4

52.3

60.8

65.8

Federal Outlays

2729

2983

3518

3457

3603

∆%

2.8

9.3

17.9

-1.7

4.2

% GDP

19.1

20.2

24.4

23.3

23.4

Federal Revenue

2568

2524

2105

2163

2303

∆%

6.7

-1.7

-16.6

2.7

6.5

% GDP

18.0

17.1

14.6

14.6

15.0

2012

2013

2014

2015

2016

Goods &
Services

-537

-461

-490

-499

-503

Exports Goods & Services & Income Receipts

3095.0

3213.0

3341.8

3207.3

3188.5

Exports Goods & Services & Income Receipts

3521.9

3561.8

3707.0

-3615.1

3616.9

Current Account

-426

-349

-365

-408

-428

NGDP

16197

16785

17527

18225

18715

Current Account % GDP

-2.6

-2.1

-2.1

-2.2

-2.3

NIIP

-4518

-5369

-6945

-7462

-8192

US Owned Assets Abroad

22562

24145

24883

23431

24060

Foreign Owned Assets in US

27080

29513

31828

30892

32252

NIIP % GDP

-27.9

-32.0

-39.6

-40.9

-43.8

Exports
Goods,
Services and
Income

3095

3213

3342

3207

3189

NIIP %
Exports
Goods,
Services and
Income

-146

-167

-208

-233

-257

DIA MV

5969

7121

72421

7057

7422

DIUS MV

4662

5815

6370

6729

7596

Fiscal Balance

-1077

-680

-485

-442

-585

Fiscal Balance % GDP

-6.7

-4.1

-2.8

-2.4

-3.2

Federal   Debt

11281

11983

12780

13117

14168

Federal Debt % GDP

70.3

72.2

73.7

72.5

76.4

Federal Outlays

3527

3455

3506

3692

3853

∆%

-2.1

-2.0

1.5

5.3

4.4

% GDP

22.0

20.8

20.2

20.4

20.8

Federal Revenue

2450

2775

3022

3250

3268

∆%

6.4

13.3

8.9

7.6

0.6

% GDP

15.3

16.7

17.4

18.0

17.6

2017

2018

2019

Goods &
Services

-550

-628

-616

Exports Goods & Services & Income Receipts

3444.8

3735.7

3763.9

Imports Goods & Services & Income Payments

3884.5

4226.7

4262.3

Current Account

-440

-491

-498

NGDP

19519

20580

21428

Current Account % GDP

2.3

2.4

2.3

NIIP

-7743

-9555

-10991

US Owned Assets Abroad

27773

25241

29317

Foreign Owned Assets in US

35516

34796

40309

NIIP % GDP

-39.7

-46.4

-51.3

Exports
Goods,
Services and
Income

3445

3736

3764

NIIP %
Exports
Goods,
Services and
Income

-225

-256

-292

DIA MV

8910

7504

8838

DIUS MV

8925

8483

10581

Fiscal Balance

-665

-779

-984

Fiscal Balance % GDP

-3.5

-3.8

-4.6

Federal   Debt

14665

15750

16803

Federal Debt % GDP

76.0

77.4

79.2

Federal Outlays

3982

4109

4447

∆%

3.3

3.2

8.2

% GDP

20.6

20.2

21.0

Federal Revenue

3316

3330

3462

∆%

1.5

0.4

4.0

% GDP

17.2

16.4

16.3

Sources:

Notes: NGDP: nominal GDP or in current dollars; NIIP: Net International Investment Position; DIA MV: US Direct Investment Abroad at Market Value; DIUS MV: Direct Investment in the US at Market Value. There are minor discrepancies in the decimal point of percentages of GDP between the balance of payments data and federal debt, outlays, revenue and deficits in which the original number of the CBO source is maintained. See Bureau of Economic Analysis, US International Economic Accounts: Concepts and Methods. 2014. Washington, DC: BEA, Department of Commerce, Jun 2014 http://www.bea.gov/international/concepts_methods.htm These discrepancies do not alter conclusions. Budget http://www.cbo.gov/

https://www.cbo.gov/about/products/budget-economic-data#6

https://www.cbo.gov/about/products/budget_economic_data#3

https://www.cbo.gov/about/products/budget-economic-data#2

https://www.cbo.gov/about/products/budget_economic_data#2 Balance of Payments and NIIP http://www.bea.gov/international/index.htm#bop Gross Domestic Product, , Bureau of Economic Analysis (BEA) http://www.bea.gov/iTable/index_nipa.cfm

Table VI-3C provides quarterly estimates NSA of the external imbalance of the United States. The current account deficit at 2.8 percent in IVQ2018 decreases to 2.6 percent in IQ2019. The current account deficit decreases to 2.4 percent in IIQ2019. The current account deficit decreases to 2.3 percent in IIIQ2019. The current account deficit decreased to 2.0 percent in IVQ2019. The absolute value of the net international investment position at $9.6 trillion in IVQ2018 increases to $10.2 trillion in IQ2018. The absolute value of the net international investment position increases at $10.6 trillion in IIQ2019. The absolute value of the net international investment position increases to $10.98 trillion in IIIQ2019. The absolute value of the net international investment position increased to $10.99 trillion in IVQ2019. The BEA explains as follows (https://www.bea.gov/sites/default/files/2020-03/intinv419_1.pdf):

“The U.S. net international investment position, the difference between U.S. residents’ foreign financial assets and liabilities, was –$10.99 trillion at the end of the fourth quarter of 2019, according to statistics released by the U.S. Bureau of Economic Analysis (BEA). Assets totaled $29.32 trillion and liabilities were $40.31 trillion.

At the end of the third quarter, the net investment position was –$10.98 trillion (Table 1).”

The BEA explains further ()https://www.bea.gov/sites/default/files/2020-03/intinv419_1.pdf:

“The –$14.1 billion change in the net investment position from the third quarter to the fourth quarter came from net financial transactions of –$91.2 billion and net other changes in position, such as price and exchange rate changes, of $77.1 billion (Table A).

U.S. assets increased by $1.04 trillion, to a total of $29.32 trillion, at the end of the fourth quarter, mostly reflecting increases in portfolio investment and direct investment assets. Portfolio investment assets increased by $874.6 billion, to $13.51 trillion, and direct investment assets increased by $471.5 billion, to $8.84 trillion. These increases were driven mainly by foreign stock price increases and the appreciation of foreign currencies against the U.S. dollar that raised the value of these assets in dollar terms.

U.S. liabilities increased by $1.05 trillion, to a total of $40.31 trillion, at the end of the fourth quarter, mostly reflecting increases in direct investment and portfolio investment liabilities. Direct investment liabilities increased by $641.3 billion, to $10.58 trillion, and portfolio investment liabilities increased by $614.4 billion, to $21.48 trillion. These increases were driven mainly by U.S. stock price increases that raised the value of these liabilities.”

Table VI-3C, US, Current Account, Net International Investment Position and Direct Investment, Dollar Billions, NSA

IVQ2018

IQ2019

IIQ2019

IIIQ2019

IVQ2019

Goods &
Services

-178

-126

-171

-174

-145

Primary

Income

60

58

66

65

68

Secondary Income

-33

-37

-31

-34

-37

Current Account

-151

-105

-135

-143

-114

Current Account % GDP SA

-2.8

-2.6

-2.4

-2.3

2.0

NIIP

-9555

-10157

-10611

-10977

-10991

US Owned Assets Abroad

25241

27056

27975

28279

29317

Foreign Owned Assets in US

-34796

-37213

-38586

-39257

-40309

DIA MV

7504

8153

8439

8366

8838

DIA MV Equity

6184

6878

7142

7077

7564

DIUS MV

8483

9470

9831

9941

10581

DIUS MV Equity

6797

7726

8047

8141

8835

Notes: NIIP: Net International Investment Position; DIA MV: US Direct Investment Abroad at Market Value; DIUS MV: Direct Investment in the US at Market Value. See Bureau of Economic Analysis, US International Economic Accounts: Concepts and Methods. 2014. Washington, DC: BEA, Department of Commerce, Sep 2014

https://www.bea.gov/international/concepts_methods.htm

Chart VI-3CA of the US Bureau of Economic Analysis provides the quarterly and annual US net international investment position (NIIP) NSA in billion dollars. The NIIP deteriorated in 2008, improving in 2009-2011 followed by deterioration after 2012. There is improvement in 2017 and deterioration in 2018.

clip_image037

Chart VI-3CA, US Net International Investment Position, NSA, Billion US Dollars

Source: Bureau of Economic Analysis

http://www.bea.gov/newsreleases/international/intinv/intinvnewsrelease.htm

clip_image039

Chart VI-3C, US Net International Investment Position, NSA, Billion US Dollars

Source: Bureau of Economic Analysis

http://www.bea.gov/newsreleases/international/intinv/intinvnewsrelease.htm

Chart VI-3C1 provides the quarterly NSA NIIP.

clip_image041

Chart VI-3C1, US Net International Investment Position, NSA, Billion US Dollars

Source: Bureau of Economic Analysis

http://www.bea.gov/newsreleases/international/intinv/intinvnewsrelease.htm

Chart VI-3C2 updates annual and quarterly estimates of the US Net International Investment Position. There is continuing deterioration.

clip_image043

Chart VI-3C2, US Net International Investment Position, NSA, Billion US Dollars

Source: Bureau of Economic Analysis

http://www.bea.gov/newsreleases/international/intinv/intinvnewsrelease.htm

Chart VI-3C2 updates quarterly estimates of the US Net International Investment Position. There is continuing deterioration.

clip_image045

Chart VI-3C3, US Net International Investment Position, NSA, Billion US Dollars

Source: Bureau of Economic Analysis

http://www.bea.gov/newsreleases/international/intinv/intinvnewsrelease.htm

clip_image047

Chart VI-3C3, US Net International Investment Position, NSA, Billion US Dollars

Source: Bureau of Economic Analysis

https://www.bea.gov/news/2019/us-international-investment-position-third-quarter-2019

clip_image048

Chart VI-3C4, US Net International Investment Position, NSA, Billion US Dollars

Source: Bureau of Economic Analysis

https://www.bea.gov/news/2020/us-international-investment-position-fourth-quarter-and-year-2019

Chart VI-10 of the Board of Governors of the Federal Reserve System provides the overnight Fed funds rate on business days from Jul 1, 1954 at 1.13 percent through Jan 10, 1979, at 9.91 percent per year, to May 7, 2020, at 0.05 percent per year. US recessions are in shaded areas according to the reference dates of the NBER (http://www.nber.org/cycles.html). In the Fed effort to control the “Great Inflation” of the 1970s (http://cmpassocregulationblog.blogspot.com/2011/05/slowing-growth-global-inflation-great.html https://cmpassocregulationblog.blogspot.com/2011/04/new-economics-of-rose-garden-turned.html https://cmpassocregulationblog.blogspot.com/2011/03/is-there-second-act-of-us-great.html and Appendix I The Great Inflation; see Taylor 1993, 1997, 1998LB, 1999, 2012FP, 2012Mar27, 2012Mar28, 2012JMCB and http://cmpassocregulationblog.blogspot.com/2017/01/rules-versus-discretionary-authorities.html http://cmpassocregulationblog.blogspot.com/2012/06/rules-versus-discretionary-authorities.html), the fed funds rate increased from 8.34 percent on Jan 3, 1979 to a high in Chart VI-10 of 22.36 percent per year on Jul 22, 1981 with collateral adverse effects in the form of impaired savings and loans associations in the United States, emerging market debt and money-center banks (see Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 72-7; Pelaez 1986, 1987). Another episode in Chart VI-10 is the increase in the fed funds rate from 3.15 percent on Jan 3, 1994, to 6.56 percent on Dec 21, 1994, which also had collateral effects in impairing emerging market debt in Mexico and Argentina and bank balance sheets in a world bust of fixed income markets during pursuit by central banks of non-existing inflation (Pelaez and Pelaez, International Financial Architecture (2005), 113-5). Another interesting policy impulse is the reduction of the fed funds rate from 7.03 percent on Jul 3, 2000, to 1.00 percent on Jun 22, 2004, in pursuit of equally non-existing deflation (Pelaez and Pelaez, International Financial Architecture (2005), 18-28, The Global Recession Risk (2007), 83-85), followed by increments of 25 basis points from Jun 2004 to Jun 2006, raising the fed funds rate to 5.25 percent on Jul 3, 2006 in Chart VI-10. 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 but the exaggerated stimulus resulted in a financial crisis of major proportions as the securitization that had worked for a long period was shocked with policy-induced excessive risk, imprudent credit, high leverage and low liquidity by the incentive to finance everything overnight at 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 because of the penalty in the form of low interest rates and unsound credit decisions because the put option on wealth by monetary policy created the illusion that nothing could ever go wrong, causing the credit/dollar crisis and global recession (Pelaez and Pelaez, Financial Regulation after the Global Recession, 157-66, Regulation of Banks, and Finance, 217-27, International Financial Architecture, 15-18, The Global Recession Risk, 221-5, Globalization and the State Vol. II, 197-213, Government Intervention in Globalization, 182-4). A final episode in Chart VI-10 is the reduction of the fed funds rate from 5.41 percent on Aug 9, 2007, to 2.97 percent on October 7, 2008, to 0.12 percent on Dec 5, 2008 and close to zero throughout a long period with the final point at 0.05 percent on May 7, 2020. Evidently, this behavior of policy would not have occurred had there been theory, measurements and forecasts to avoid these violent oscillations that are clearly detrimental to economic growth and prosperity without inflation. The Chair of the Board of Governors of the Federal Reserve System, Janet L. Yellen, stated on Jul 10, 2015 that (http://www.federalreserve.gov/newsevents/speech/yellen20150710a.htm):

“Based on my outlook, I expect that it will be appropriate at some point later this year to take the first step to raise the federal funds rate and thus begin normalizing monetary policy. But I want to emphasize that the course of the economy and inflation remains highly uncertain, and unanticipated developments could delay or accelerate this first step. I currently anticipate that the appropriate pace of normalization will be gradual, and that monetary policy will need to be highly supportive of economic activity for quite some time. The projections of most of my FOMC colleagues indicate that they have similar expectations for the likely path of the federal funds rate. But, again, both the course of the economy and inflation are uncertain. If progress toward our employment and inflation goals is more rapid than expected, it may be appropriate to remove monetary policy accommodation more quickly. However, if progress toward our goals is slower than anticipated, then the Committee may move more slowly in normalizing policy.”

There is essentially the same view in the Testimony of Chair Yellen in delivering the Semiannual Monetary Policy Report to the Congress on Jul 15, 2015 (http://www.federalreserve.gov/newsevents/testimony/yellen20150715a.htm). The FOMC (Federal Open Market Committee) raised the fed funds rate to ¼ to ½ percent at its meeting on Dec 16, 2015 (http://www.federalreserve.gov/newsevents/press/monetary/20151216a.htm).

It is a forecast mandate because of the lags in effect of monetary policy impulses on income and prices (Romer and Romer 2004). The intention is to reduce unemployment close to the “natural rate” (Friedman 1968, Phelps 1968) of around 5 percent and inflation at or below 2.0 percent. If forecasts were reasonably accurate, there would not be policy errors. A commonly analyzed risk of zero interest rates is the occurrence of unintended inflation that could precipitate an increase in interest rates similar to the Himalayan rise of the fed funds rate from 9.91 percent on Jan 10, 1979, at the beginning in Chart VI-10, to 22.36 percent on Jul 22, 1981. There is a less commonly analyzed risk of the development of a risk premium on Treasury securities because of the unsustainable Treasury deficit/debt of the United States (https://cmpassocregulationblog.blogspot.com/2018/10/global-contraction-of-valuations-of.html and earlier https://cmpassocregulationblog.blogspot.com/2017/04/mediocre-cyclical-economic-growth-with.html and earlier http://cmpassocregulationblog.blogspot.com/2017/01/twenty-four-million-unemployed-or.html and earlier and earlier http://cmpassocregulationblog.blogspot.com/2016/12/rising-yields-and-dollar-revaluation.html http://cmpassocregulationblog.blogspot.com/2016/07/unresolved-us-balance-of-payments.html and earlier http://cmpassocregulationblog.blogspot.com/2016/04/proceeding-cautiously-in-reducing.html and earlier http://cmpassocregulationblog.blogspot.com/2016/01/weakening-equities-and-dollar.html and earlier http://cmpassocregulationblog.blogspot.com/2015/09/monetary-policy-designed-on-measurable.html and earlier http://cmpassocregulationblog.blogspot.com/2015/06/fluctuating-financial-asset-valuations.html and earlier (http://cmpassocregulationblog.blogspot.com/2015/03/irrational-exuberance-mediocre-cyclical.html and earlier http://cmpassocregulationblog.blogspot.com/2014/12/patience-on-interest-rate-increases.html

and earlier http://cmpassocregulationblog.blogspot.com/2014/09/world-inflation-waves-squeeze-of.html and earlier (http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html and earlier (http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html). There is not a fiscal cliff or debt limit issue ahead but rather free fall into a fiscal abyss. The combination of the fiscal abyss with zero interest rates could trigger the risk premium on Treasury debt or Himalayan hike in interest rates.

clip_image049

Chart VI-10, US, Fed Funds Rate, Business Days, Jul 1, 1954 to May 7, 2020, Percent per Year

Source: Board of Governors of the Federal Reserve System

https://www.federalreserve.gov/datadownload/Choose.aspx?rel=H15

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.

clip_image050

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.

clip_image051

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.

clip_image052

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 Congressional Budget Office estimates potential GDP, potential labor force and potential labor productivity provided in Table IB-3. The CBO estimates average rate of growth of potential GDP from 1950 to 2017 at 3.2 percent per year. The projected path is significantly lower at 1.4 percent per year from 2018 to 2028. The legacy of the economic cycle expansion from IIIQ2009 to IVQ2019 at 2.3 percent on average is in contrast with 3.6 percent on average in the expansion from IQ1983 to IIIQ1993 ()https://cmpassocregulationblog.blogspot.com/2020/05/mediocre-cyclical-united-states.html and earlier https://cmpassocregulationblog.blogspot.com/2020/03/weekly-rise-of-valuations-of-risk.html. Subpar economic growth may perpetuate unemployment and underemployment estimated at 24.1 million or 14.0 percent of the effective labor force in Mar 2019 (https://cmpassocregulationblog.blogspot.com/2020/04/lockdown-of-economic-activity-in.html and earlier https://cmpassocregulationblog.blogspot.com/2020/03/stress-of-world-financial-markets-fomc.html) with much lower hiring than in the period before the current cycle (https://cmpassocregulationblog.blogspot.com/2020/04/united-states-imbalances-of-internal.html and earlier https://cmpassocregulationblog.blogspot.com/2020/03/sharp-contraction-of-valuations-of-risk.html).

Table IB-3, US, Congressional Budget Office History and Projections of Potential GDP of US Overall Economy, ∆%

Potential GDP

Potential Labor Force

Potential Labor Productivity*

Average Annual ∆%

1950-1973

4.0

1.6

2.4

1974-1981

3.2

2.5

0.7

1982-1990

3.4

1.7

1.7

1991-2001

3.2

1.2

2.0

2002-2007

2.5

1.0

1.5

2008-2017

1.5

0.5

0.9

Total 1950-2017

3.2

1.4

1.7

Projected Average Annual ∆%

2018-2022

2.0

0.6

1.4

2023-2028

1.8

0.4

1.4

2018-2028

1.9

0.5

1.4

*Ratio of potential GDP to potential labor force

Source: CBO, The budget and economic outlook: 2018-2028. Washington, DC, Apr 9, 2018 https://www.cbo.gov/publication/53651 CBO (2014BEOFeb4), CBO, Key assumptions in projecting potential GDP—February 2014 baseline. Washington, DC, Congressional Budget Office, Feb 4, 2014. CBO, The budget and economic outlook: 2015 to 2025. Washington, DC, Congressional Budget Office, Jan 26, 2015. Aug 2016

Chart IB1-BEO2818 of the Congressional Budget Office provides historical and projected annual growth of United States potential GDP. The projection is of faster growth of real potential GDP.

clip_image053

Chart IB1-BEO2818, CBO Economic Forecast

Source: CBO, The budget and economic outlook: 2018-2028. Washington, DC, Apr 9, 2018 https://www.cbo.gov/publication/53651 CBO (2014BEOFeb4).

Chart IB1-A1 of the Congressional Budget Office provides historical and projected annual growth of United States potential GDP. There is sharp decline of growth of United States potential GDP.

clip_image055

Chart IB-1A1, Congressional Budget Office, Projections of Annual Growth of United States Potential GDP

Source: CBO, The budget and economic outlook: 2017-2027. Washington, DC, Jan 24, 2017 https://www.cbo.gov/publication/52370

https://www.cbo.gov/about/products/budget-economic-data#6

Chart IB-1A of the Congressional Budget Office provides historical and projected potential and actual US GDP. The gap between actual and potential output closes by 2017. Potential output expands at a lower rate than historically. Growth is even weaker relative to trend.

clip_image056

Chart IB-1A, Congressional Budget Office, Estimate of Potential GDP and Gap

Source: Congressional Budget Office

https://www.cbo.gov/publication/49890

Chart IB-1 of the Congressional Budget Office (CBO 2013BEOFeb5) provides actual and potential GDP of the United States from 2000 to 2011 and projected to 2024. Lucas (2011May) estimates trend of United States real GDP of 3.0 percent from 1870 to 2010 and 2.2 percent for per capita GDP. The United States successfully returned to trend growth of GDP by higher rates of growth during cyclical expansion as analyzed by Bordo (2012Sep27, 2012Oct21) and Bordo and Haubrich (2012DR). Growth in expansions following deeper contractions and financial crises was much higher in agreement with the plucking model of Friedman (1964, 1988).   The Congressional Budget Office estimates potential GDP, potential labor force and potential labor productivity provided in Table IB-3. The CBO estimates average rate of growth of potential GDP from 1950 to 2017 at 3.2 percent per year. The projected path is significantly lower at 1.4 percent per year from 2018 to 2028. The legacy of the economic cycle expansion from IIIQ2009 to IVQ2019 at 2.3 percent on average is in contrast with 3.6 percent on average in the expansion from IQ1983 to IIIQ1993 (https://cmpassocregulationblog.blogspot.com/2020/05/mediocre-cyclical-united-states.html and earlier https://cmpassocregulationblog.blogspot.com/2020/03/weekly-rise-of-valuations-of-risk.html). Subpar economic growth may perpetuate unemployment and underemployment estimated at 24.1 million or 14.0 percent of the effective labor force in Mar 2020 (https://cmpassocregulationblog.blogspot.com/2020/04/lockdown-of-economic-activity-in.html and earlier https://cmpassocregulationblog.blogspot.com/2020/03/stress-of-world-financial-markets-fomc.html) with much lower hiring than in the period before the current cycle (https://cmpassocregulationblog.blogspot.com/2020/04/united-states-imbalances-of-internal.html and earlier https://cmpassocregulationblog.blogspot.com/2020/03/sharp-contraction-of-valuations-of-risk.html). The US economy and labor markets collapsed without recovery. Abrupt collapse of economic conditions can be explained only with cyclic factors (Lazear and Spletzer 2012Jul22) and not by secular stagnation (Hansen 1938, 1939, 1941 with early dissent by Simons 1942).

clip_image058

Chart IB-1, US, Congressional Budget Office, Actual and Projections of Potential GDP, 2000-2024, Trillions of Dollars

Source: Congressional Budget Office, CBO (2013BEOFeb5). The last year in common in both projections is 2017. The revision lowers potential output in 2017 by 7.3 percent relative to the projection in 2007.

Chart IB-2 provides differences in the projections of potential output by the CBO in 2007 and more recently on Feb 4, 2014, which the CBO explains in CBO (2014Feb28).

clip_image060

Chart IB-2, Congressional Budget Office, Revisions of Potential GDP

Source: Congressional Budget Office, 2014Feb 28. Revisions to CBO’s Projection of Potential Output since 2007. Washington, DC, CBO, Feb 28, 2014.

Chart IB-3 provides actual and projected potential GDP from 2000 to 2024. The gap between actual and potential GDP disappears at the end of 2017 (CBO2014Feb4). GDP increases in the projection at 2.5 percent per year.

clip_image062

Chart IB-3, Congressional Budget Office, GDP and Potential GDP

Source: CBO (2013BEOFeb5), CBO, Key assumptions in projecting potential GDP—February 2014 baseline. Washington, DC, Congressional Budget Office, Feb 4, 2014.

Chart IIA2-3 of the Bureau of Economic Analysis of the Department of Commerce shows on the lower negative panel the sharp increase in the deficit in goods and the deficits in goods and services from 1960 to 2012. The upper panel shows the increase in the surplus in services that was insufficient to contain the increase of the deficit in goods and services. The adjustment during the global recession has been in the form of contraction of economic activity that reduced demand for goods.

clip_image063

Chart IIA2-3, US, Balance of Goods, Balance on Services and Balance on Goods and Services, 1960-2013, Millions of Dollars

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

Chart IIA2-4 of the Bureau of Economic Analysis shows exports and imports of goods and services from 1960 to 2012. Exports of goods and services in the upper positive panel have been quite dynamic but have not compensated for the sharp increase in imports of goods. The US economy apparently has become less competitive in goods than in services.

clip_image064

Chart IIA2-4, US, Exports and Imports of Goods and Services, 1960-2013, Millions of Dollars

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

Chart IIA2-5 of the Bureau of Economic Analysis shows the US balance on current account from 1960 to 2012. The sharp devaluation of the dollar resulting from unconventional monetary policy of zero interest rates and elimination of auctions of 30-year Treasury bonds did not adjust the US balance of payments. Adjustment only occurred after the contraction of economic activity during the global recession.

clip_image065

Chart IIA2-5, US, Balance on Current Account, 1960-2013, Millions of Dollars

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

Chart IIA2-6 of the Bureau of Economic Analysis provides real GDP in the US from 1960 to 2018. The contraction of economic activity during the global recession was a major factor in the reduction of the current account deficit as percent of GDP.

clip_image067

Chart IIA2-6, US, Real GDP, 1960-2018, Billions of Chained 2009 Dollars

Source: Bureau of Economic Analysis

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

Chart IIA-7 provides the US current account deficit on a quarterly basis from 1980 to 2011. The deficit is at a lower level because of growth below potential not only in the US but worldwide. The combination of high government debt and deficit with external imbalance restricts potential prosperity in the US.

clip_image068

Chart IIA-7, US, Balance on Current Account, Quarterly, 1980-2013

Source: Bureau of Economic Analysis

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

Risk aversion channels funds toward US long-term and short-term securities that finance the US balance of payments and fiscal deficits benefitting from risk flight to US dollar denominated assets. There are now temporary interruptions because of fear of rising interest rates that erode prices of US government securities because of mixed signals on monetary policy and exit from the Fed balance sheet of four trillion dollars of securities held outright. Net foreign purchases of US long-term securities (row C in Table VA-4) strengthened from minus $3.0 billion in Jan 2020 to $24.7 billion in Feb

2020. Foreign residents’ purchases minus sales of US long-term securities (row A in Table VA-4) in Jan 2020 of $28.9 billion strengthened to $35.3 billion in Feb 2020. Net US (residents) purchases of long-term foreign securities (row B in Table VA-4) strengthened from minus $7.1 billion in Jan 2020 to $14.0 billion in Feb 2020. Other transactions (row C2 in Table VA-4) changed from minus $24.7 billion in Jan 2020 to minus $24.6 billion in Feb 2020. In Feb 2020,

C = A + B + C2 = $35.3 billion + $14.0 billion - $24.6 billion = $24.7 billion.

There are minor rounding errors. There is weakening demand in Table VA-4 in Feb 2020 in A1 private purchases by residents overseas of US long-term securities of $14.4 billion of which weakening in A11 Treasury securities of $7.3 billion, strengthening in A12 of $18.0 billion in agency securities, strengthening of minus $21.8 billion of corporate bonds and strengthening of $11.0 billion in equities. Worldwide risk aversion causes flight into US Treasury obligations with significant oscillations. Official purchases of securities in row A2 increased $20.9 billion with decrease of Treasury securities of $2.4 billion in Feb 2020. Official purchases of agency securities increased $21.5 billion in Feb 2020. Row D shows increase in Feb 2020 of $18.8 billion in purchases of short-term dollar denominated obligations. Foreign holdings of US Treasury bills increased $31.0 billion (row D1) with foreign official holdings increasing $11.3 billion while the category “other” decreased $12.2 billion. Foreign private holdings of US Treasury bills increased $19.7 billion in what could be arbitrage of duration exposures and international risks. Risk aversion of default losses in foreign securities dominates decisions to accept zero interest rates in Treasury securities with no perception of principal losses. In the case of long-term securities, investors prefer to sacrifice inflation and possible duration risk to avoid principal losses with significant oscillations

in risk perceptions.

Table VA-4, Net Cross-Borders Flows of US Long-Term Securities, Billion Dollars, NSA

Feb 2019

12

Months

Feb 2020 12 Months

Jan 2020

Feb 2020

A Foreign Purchases less Sales of
US LT Securities

53.2

230.9

28.9

35.3

A1 Private

207.2

393.8

27.5

14.4

A11 Treasury

182.4

212.2

44.3

7.3

A12 Agency

140.6

201.3

14.8

18.0

A13 Corporate Bonds

81.2

-51.7

-31.5

-21.8

A14 Equities

-197.0

32.0

0.0

11.0

A2 Official

-154.0

-162.8

1.3

20.9

A21 Treasury

-236.8

-308.2

-18.7

-2.4

A22 Agency

100.5

125.1

17.5

21.5

A23 Corporate Bonds

-9.3

-0.8

-0.3

1.3

A24 Equities

-8.4

21.0

2.8

0.5

B Net US Purchases of LT Foreign Securities

400.5

192.1

-7.1

14.0

B1 Foreign Bonds

342.2

150.4

7.5

9.2

B2 Foreign Equities

58.3

41.6

-14.6

4.8

C1 Net Transactions

453.6

423.0

21.8

49.4

C2 Other

-76.9

-259.4

-24.7

-24.6

C Net Foreign Purchases of US LT Securities

376.7

163.5

-3.0

24.7

D Increase in Foreign Holdings of Dollar Denominated Short-term 

US Securities & Other Liab

331.3

95.2

3.8

18.8

D1 US Treasury Bills

13.3

-17.3

-13.6

31.0

D11 Private

28.2

-4.3

-39.9

19.7

D12 Official

-14.8

-13.0

26.3

11.3

D2 Other

318.0

112.5

17.5

-12.2

C1 = A + B; C = C1+C2

A = A1 + A2

A1 = A11 + A12 + A13 + A14

A2 = A21 + A22 + A23 + A24

B = B1 + B2

D = D1 + D2

Sources: United States Treasury

https://www.treasury.gov/resource-center/data-chart-center/tic/Pages/ticpress.aspx

http://www.treasury.gov/press-center/press-releases/Pages/jl2609.aspx

Table VA-5 provides major foreign holders of US Treasury securities. China is the second largest holder with $1092.3 billion in Feb 2020, increasing 1.3 percent from $1078.6 billion in Jan 2020 while decreasing $38.6 billion from Feb 2019 or 3.4 percent. The United States Treasury estimates US government debt held by private investors at $14,344 billion in Dec 2019 (Fiscal Year 2020). China’s holding of US Treasury securities represents 7.6 percent of US government marketable interest-bearing debt held by private investors (https://www.fiscal.treasury.gov/reports-statements/treasury-bulletin/). Min Zeng, writing on “China plays a big role as US Treasury yields fall,” on Jul 16, 2014, published in the Wall Street Journal (http://online.wsj.com/articles/china-plays-a-big-role-as-u-s-treasury-yields-fall-1405545034?tesla=y&mg=reno64-wsj), finds that acceleration in purchases of US Treasury securities by China has been an important factor in the decline of Treasury yields in 2014. Japan increased its holdings from $1068.8 billion in Feb 2019 to $1268.3 billion in Feb 2020 or 18.7 percent. The combined holdings of China and Japan in Feb 2020 add to $2360.6 billion, which is equivalent to 16.5 percent of US government marketable interest-bearing securities held by investors of $14,344 billion in Dec 2019 (Fiscal Year 2020) (https://www.fiscal.treasury.gov/reports-statements/treasury-bulletin/). Total foreign holdings of Treasury securities increased from $6374.5 billion in Feb 2019 to $7066.7 billion in Feb 2020, or 10.9 percent. The US continues to finance its fiscal and balance of payments deficits with foreign savings (see Pelaez and Pelaez, The Global Recession Risk (2007). Professor Martin Feldstein, at Harvard University, writing on “The Debt Crisis Is Coming Soon,” published in the Wall Street Journal on Mar 20, 2019 (https://www.wsj.com/articles/the-debt-crisis-is-coming-soon-11553122139?mod=hp_opin_pos3), foresees a US debt crisis with deficits moving above $1 trillion and debt above 100 percent of GDP. A point of saturation of holdings of US Treasury debt may be reached as foreign holders evaluate the threat of reduction of principal by dollar devaluation and reduction of prices by increases in yield, including possibly risk premium. Shultz et al (2012) find that the Fed financed three-quarters of the US deficit in fiscal year 2011, with foreign governments financing significant part of the remainder of the US deficit while the Fed owns one in six dollars of US national debt. Concentrations of debt in few holders are perilous because of sudden exodus in fear of devaluation and yield increases and the limit of refinancing old debt and placing new debt. In their classic work on “unpleasant monetarist arithmetic,” Sargent and Wallace (1981, 2) consider a regime of domination of monetary policy by fiscal policy (emphasis added):

“Imagine that fiscal policy dominates monetary policy. The fiscal authority independently sets its budgets, announcing all current and future deficits and surpluses and thus determining the amount of revenue that must be raised through bond sales and seignorage. Under this second coordination scheme, the monetary authority faces the constraints imposed by the demand for government bonds, for it must try to finance with seignorage any discrepancy between the revenue demanded by the fiscal authority and the amount of bonds that can be sold to the public. Suppose that the demand for government bonds implies an interest rate on bonds greater than the economy’s rate of growth. Then if the fiscal authority runs deficits, the monetary authority is unable to control either the growth rate of the monetary base or inflation forever. If the principal and interest due on these additional bonds are raised by selling still more bonds, so as to continue to hold down the growth of base money, then, because the interest rate on bonds is greater than the economy’s growth rate, the real stock of bonds will growth faster than the size of the economy. This cannot go on forever, since the demand for bonds places an upper limit on the stock of bonds relative to the size of the economy. Once that limit is reached, the principal and interest due on the bonds already sold to fight inflation must be financed, at least in part, by seignorage, requiring the creation of additional base money.”

Table VA-5, US, Major Foreign Holders of Treasury Securities $ Billions at End of Period

Feb 2020

Jan 2020

Feb 2019

Total

7066.7

6857.0

6374.5

Japan

1268.3

1211.7

1068.8

China

1092.3

1078.6

1130.9

United Kingdom

403.2

372.7

302.5

Brazil

285.9

283.3

307.7

Ireland

282.7

271.4

274.0

Luxembourg

260.8

255.2

228.9

Hong Kong

249.8

229.6

203.1

Switzerland

243.7

238.1

221.4

Cayman Islands

219.4

216.1

210.0

Belgium

218.0

209.4

181.3

Taiwan

201.9

199.2

164.9

Saudi Arabia

184.4

182.9

167.6

India

177.5

164.3

144.3

Singapore

165.4

160.7

130.5

Foreign Official Holdings

4264.9

4170.0

4029.7

A. Treasury Bills

306.1

294.8

319.1

B. Treasury Bonds and Notes

3958.8

3875.2

3710.6

Source: United States Treasury

http://www.treasury.gov/resource-center/data-chart-center/tic/Pages/ticpress.aspx

http://www.treasury.gov/resource-center/data-chart-center/tic/Pages/index.aspx

https://ticdata.treasury.gov/Publish/mfh.txt

IIC Decline of United States Homeownership. The US Census Bureau measures the homeownership rate by “dividing the number of owner-occupied housing units by the number of occupied housing units or households” (https://www.census.gov/housing/hvs/index.html). The rate of homeownership of the US quarterly from 1965 to 2019 is in Table IIA-3. The rate of homeownership increased from 63.5 in IQ1966 to 64.4 in IVQ1969. The rate of homeownership rose from 64.0 in IVQ1970 to 65.5 in IVQ1980, declining to 63.8 in IVQ1989. The rate of homeownership increased to 66.9 in IVQ1999, reaching 69.0 in IVQ2005. The rate of homeownership fell to 65.3 in IQ2020.

Table IIA-3, US, Home Ownership Rate, 1965-2019, NSA, %

Year

1st Quarter

2nd Quarter

3rd Quarter

4th Quarter

1956

NA

NA

NA

NA

1957

NA

NA

NA

NA

1958

NA

NA

NA

NA

1959

NA

NA

NA

NA

1960

NA

NA

NA

NA

1961

NA

NA

NA

NA

1962

NA

NA

NA

NA

1963

NA

NA

NA

NA

1964

NA

NA

NA

NA

1965

62.9

62.9

62.9

63.4

1966

63.5

63.2

63.3

63.8

1967

63.3

63.9

63.8

63.5

1968

63.6

64.1

64.1

63.6

1969

64.1

64.4

64.4

64.4

1970

64.3

64

64.4

64

1971

64

64.1

64.4

64.5

1972

64.3

64.5

64.3

64.4

1973

64.9

64.4

64.4

64.4

1974

64.8

64.8

64.6

64.4

1975

64.4

64.9

64.6

64.5

1976

64.6

64.6

64.9

64.8

1977

64.8

64.5

65

64.9

1978

64.8

64.4

65.2

65.4

1979

64.8

64.9

65.8

65.4

1980

65.5

65.5

65.8

65.5

1981

65.6

65.3

65.6

65.2

1982

64.8

64.9

64.9

64.5

1983

64.7

64.7

64.8

64.4

1984

64.6

64.6

64.6

64.1

1985

64.1

64.1

63.9

63.5

1986

63.6

63.8

63.8

63.9

1987

63.8

63.8

64.2

64.1

1988

63.7

63.7

64

63.8

1989

63.9

63.8

64.1

63.8

1990

64

63.7

64

64.1

1991

63.9

63.9

64.2

64.2

1992

64

63.9

64.3

64.4

1993

64.2

64.4

64.7

64.6

1994

63.8

63.8

64.1

64.2

1995

64.2

64.7

65

65.1

1996

65.1

65.4

65.6

65.4

1997

65.4

65.7

66

65.7

1998

65.9

66

66.8

66.4

1999

66.7

66.6

67

66.9

2000

67.1

67.2

67.7

67.5

2001

67.5

67.7

68.1

68

2002

67.8

67.6

68

68.3

2003

68

68

68.4

68.6

2004

68.6

69.2

69

69.2

2005

69.1

68.6

68.8

69

2006

68.5

68.7

69

68.9

2007

68.4

68.2

68.2

67.8

2008

67.8

68.1

67.9

67.5

2009

67.3

67.4

67.6

67.2

2010

67.1

66.9

66.9

66.5

2011

66.4

65.9

66.3

66

2012

65.4

65.5

65.5

65.4

2013

65

65

65.3

65.2

2014

64.8

64.7

64.4

64

2015

63.7

63.4

63.7

63.8

2016

63.5

62.9

63.5

63.7

2017

63.6

63.7

63.9

64.2

2018

64.2

64.3

64.4

64.8

2019

64.2

64.1

64.8

65.1

2020

65.3

NA

NA

NA

Source: US Census Bureau

https://www.census.gov/housing/hvs/index.html

Chart IIA-1 of the US Census Bureau provides the rate of homeownership of the US from 1965 to 2020. There are four periods in US homeownership. The rate of homeownership increased in an upward trend from 1965 to 1980. The rate fell in the 1980s and stabilized until 1995. The rate then increased sharply from 1996 to 2005. In the current period, the rate of homeownership shows the sharpest downward trend in available data from 2005 to 2017 with recent improvement/decline.

image

Chart IIA-1, US Home Ownership Rate, Quarterly, 1964-2020, %

Source: US Bureau of the Census

https://www.census.gov/housing/hvs/index.html

© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020.

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