Monday, March 9, 2015

Global Competitive Devaluation, Rules, Discretionary Authorities and Slow Productivity Growth, Twenty Seven Million Unemployed or Underemployed, Stagnating Real Wages, Stagnating Real Disposable Income, Financial Repression, World Cyclical Slow Growth and Global Recession Risk: Part V

 

Global Competitive Devaluation, Rules, Discretionary Authorities and Slow Productivity Growth, Twenty Seven Million Unemployed or Underemployed, Stagnating Real Wages, Stagnating Real Disposable Income, Financial Repression, World Cyclical Slow Growth and Global Recession Risk

Carlos M. Pelaez

© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014, 2015

I Twenty Seven Million Unemployed or Underemployed

IA1 Summary of the Employment Situation

IA2 Number of People in Job Stress

IA3 Long-term and Cyclical Comparison of Employment

IA4 Job Creation

IB Stagnating Real Wages

II Stagnating Real Disposable Income and Consumption Expenditures

IB1 Stagnating Real Disposable Income and Consumption Expenditures

IB2 Financial Repression

IIA Rules, Discretionary Authorities and Slow Productivity Growth

III World Financial Turbulence

IIIA Financial Risks

IIIE Appendix Euro Zone Survival Risk

IIIF Appendix on Sovereign Bond Valuation

IV Global Inflation

V World Economic Slowdown

VA United States

VB Japan

VC China

VD Euro Area

VE Germany

VF France

VG Italy

VH United Kingdom

VI Valuation of Risk Financial Assets

VII Economic Indicators

VIII Interest Rates

IX Conclusion

References

Appendixes

Appendix I The Great Inflation

IIIB Appendix on Safe Haven Currencies

IIIC Appendix on Fiscal Compact

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

IIIG Appendix on Deficit Financing of Growth and the Debt Crisis

IIIGA Monetary Policy with Deficit Financing of Economic Growth

IIIGB Adjustment during the Debt Crisis of the 1980s

V World Economic Slowdown. Table V-1 is constructed with the database of the IMF (http://www.imf.org/external/ns/cs.aspx?id=28) to show GDP in dollars in 2012 and the growth rate of real GDP of the world and selected regional countries from 2013 to 2016. The data illustrate the concept often repeated of “two-speed recovery” of the world economy from the recession of 2007 to 2009. The IMF has changed its forecast of the world economy to 3.3 percent in 2013 but accelerating to 3.3 percent in 2014, 3.8 percent in 2015 and 4.0 percent in 2016. Slow-speed recovery occurs in the “major advanced economies” of the G7 that account for $34,523 billion of world output of $72,688 billion, or 47.5 percent, but are projected to grow at much lower rates than world output, 1.9 percent on average from 2013 to 2016 in contrast with 3.6 percent for the world as a whole. While the world would grow 15.2 percent in the four years from 2013 to 2016, the G7 as a whole would grow 8.5 percent. The difference in dollars of 2012 is rather high: growing by 15.2 percent would add around $11.0 trillion of output to the world economy, or roughly, two times the output of the economy of Japan of $5,938 billion but growing by 8.0 percent would add $5.8 trillion of output to the world, or about the output of Japan in 2012. The “two speed” concept is in reference to the growth of the 150 countries labeled as emerging and developing economies (EMDE) with joint output in 2012 of $27,512 billion, or 37.8 percent of world output. The EMDEs would grow cumulatively 20.7 percent or at the average yearly rate of 4.8 percent, contributing $5.7 trillion from 2013 to 2016 or the equivalent of somewhat less than the GDP of $8,387 billion of China in 2012. The final four countries in Table V-1 often referred as BRIC (Brazil, Russia, India, China), are large, rapidly growing emerging economies. Their combined output in 2012 adds to $14,511 billion, or 19.9 percent of world output, which is equivalent to 42.0 percent of the combined output of the major advanced economies of the G7.

Table V-1, IMF World Economic Outlook Database Projections of Real GDP Growth

 

GDP USD 2012

Real GDP ∆%
2013

Real GDP ∆%
2014

Real GDP ∆%
2015

Real GDP ∆%
2016

World

72,688

3.3

3.3

3.8

4.0

G7

34,523

1.5

1.7

2.3

2.3

Canada

1,709

2.0

2.3

2.4

2.4

France

2,688

0.3

0.4

1.0

1.6

DE

3,428

0.5

1.4

1.5

1.8

Italy

2,014

-1.9

-0.2

0.9

1.3

Japan

5,938

1.5

0.9

0.8

0.8

UK

2,471

1.7

3.2

2.7

2.4

US

16,163

2.2

2.2

3.1

3.0

Euro Area

12,220

-0.4

0.8

1.3

1.7

DE

3,428

0.5

1.4

1.5

1.8

France

2,688

0.3

0.4

1.0

1.6

Italy

2,014

-1.9

-0.2

0.9

1.3

POT

212

-1.4

1.0

1.5

1.7

Ireland

211

-0.3

1.7

2.5

2.5

Greece

249

-3.9

0.6

2.9

3.7

Spain

1,323

-1.2

1.3

1.7

1.8

EMDE

27,512

4.7

4.4

5.0

5.2

Brazil

2,248

2.5

0.3

1.4

2.2

Russia

2,017

1.3

0.2

0.5

1.5

India

1,859

5.0

5.6

6.4

6.5

China

8,387

7.7

7.4

7.1

6.8

Notes; DE: Germany; EMDE: Emerging and Developing Economies (150 countries); POT: Portugal

Source: IMF World Economic Outlook databank http://www.imf.org/external/ns/cs.aspx?id=28

Continuing high rates of unemployment in advanced economies constitute another characteristic of the database of the WEO (http://www.imf.org/external/ns/cs.aspx?id=28). Table V-2 is constructed with the WEO database to provide rates of unemployment from 2012 to 2016 for major countries and regions. In fact, unemployment rates for 2013 in Table I-2 are high for all countries: unusually high for countries with high rates most of the time and unusually high for countries with low rates most of the time. The rates of unemployment are particularly high in 2013 for the countries with sovereign debt difficulties in Europe: 16.2 percent for Portugal (POT), 13.0 percent for Ireland, 27.3 percent for Greece, 26.1 percent for Spain and 12.2 percent for Italy, which is lower but still high. The G7 rate of unemployment is 7.1 percent. Unemployment rates are not likely to decrease substantially if slow growth persists in advanced economies.

Table V-2, IMF World Economic Outlook Database Projections of Unemployment Rate as Percent of Labor Force

 

% Labor Force 2012

% Labor Force 2013

% Labor Force 2014

% Labor Force 2015

% Labor Force 2016

World

NA

NA

NA

NA

NA

G7

7.4

7.1

6.5

6.3

6.1

Canada

7.3

7.1

7.0

6.9

6.8

France

9.8

10.3

10.0

10.0

9.9

DE

5.5

5.3

5.3

5.3

5.3

Italy

10.7

12.2

12.6

12.0

11.3

Japan

4.3

4.0

3.7

3.8

3.8

UK

8.0

7.6

6.3

5.8

5.5

US

8.1

7.4

6.3

5.9

5.8

Euro Area

11.3

11.9

11.6

11.2

10.7

DE

5.5

5.3

5.3

5.3

5.3

France

9.8

10.3

10.0

10.0

9.9

Italy

10.7

12.2

12.6

12.0

11.3

POT

15.5

16.2

14.2

13.5

13.0

Ireland

14.7

13.0

11.2

10.5

10.1

Greece

24.2

27.3

25.8

23.8

20.9

Spain

24.8

26.1

24.6

23.5

22.4

EMDE

NA

NA

NA

NA

NA

Brazil

5.5

5.4

5.5

6.1

5.9

Russia

5.5

5.5

5.6

6.5

6.0

India

NA

NA

NA

NA

NA

China

4.1

4.1

4.1

4.1

4.1

Notes; DE: Germany; EMDE: Emerging and Developing Economies (150 countries)

Source: IMF World Economic Outlook databank http://www.imf.org/external/ns/cs.aspx?id=28

Table V-3 provides the latest available estimates of GDP for the regions and countries followed in this blog from IQ2012 to IIIQ2014 available now for all countries. There are preliminary estimates for most countries for IVQ2014. Growth is weak throughout most of the world.

  • Japan. The GDP of Japan increased 1.1 percent in IQ2012, 4.4 percent at SAAR (seasonally adjusted annual rate) and 3.5 percent relative to a year earlier but part of the jump could be the low level a year earlier because of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Japan is experiencing difficulties with the overvalued yen because of worldwide capital flight originating in zero interest rates with risk aversion in an environment of softer growth of world trade. Japan’s GDP fell 0.4 percent in IIQ2012 at the seasonally adjusted annual rate (SAAR) of minus 1.5 percent, which is much lower than 4.4 percent in IQ2012. Growth of 3.5 percent in IIQ2012 in Japan relative to IIQ2011 has effects of the low level of output because of Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Japan’s GDP contracted 0.6 percent in IIIQ2012 at the SAAR of minus 2.2 percent and increased 0.2 percent relative to a year earlier. Japan’s GDP decreased 0.2 percent in IVQ2012 at the SAAR of minus 0.7 percent and changed 0.0 percent relative to a year earlier. Japan grew 1.4 percent in IQ2013 at the SAAR of 5.7 percent and increased 0.5 percent relative to a year earlier. Japan’s GDP increased 0.8 percent in IIQ2013 at the SAAR of 3.2 percent and increased 1.4 percent relative to a year earlier. Japan’s GDP grew 0.4 percent in IIIQ2013 at the SAAR of 1.5 percent and increased 2.2 percent relative to a year earlier. In IVQ2013, Japan’s GDP decreased 0.4 percent at the SAAR of minus 1.4 percent, increasing 2.3 percent relative to a year earlier. Japan’s GDP increased 1.3 percent in IQ2014 at the SAAR of 5.5 percent and increased 2.4 percent relative to a year earlier. In IIQ2014, Japan’s GDP fell 1.7 percent at the SAAR of minus 6.7 percent and fell 0.4 percent relative to a year earlier. Japan’s GDP contracted 0.6 percent in IIIQ2014 at the SAAR of minus 2.3 percent and fell 1.4 percent relative to a year earlier. In IVQ2014, Japan’s GDP grew 0.6 percent, at the SAAR of 2.2 percent, decreasing 0.5 percent relative to a year earlier.
  • China. China’s GDP grew 1.4 percent in IQ2012, annualizing to 5.7 percent, and 8.1 percent relative to a year earlier. The GDP of China grew at 2.1 percent in IIQ2012, which annualizes to 8.7 percent and 7.6 percent relative to a year earlier. China grew at 2.0 percent in IIIQ2012, which annualizes at 8.2 percent and 7.4 percent relative to a year earlier. In IVQ2012, China grew at 1.9 percent, which annualizes at 7.8 percent, and 7.9 percent in IVQ2012 relative to IVQ2011. In IQ2013, China grew at 1.7 percent, which annualizes at 7.0 percent and 7.8 percent relative to a year earlier. In IIQ2013, China grew at 1.8 percent, which annualizes at 7.4 percent and 7.5 percent relative to a year earlier. China grew at 2.3 percent in IIIQ2013, which annualizes at 9.5 percent and 7.9 percent relative to a year earlier. China grew at 1.8 percent in IVQ2013, which annualized to 7.4 percent and 7.6 percent relative to a year earlier. China’s GDP grew 1.6 percent in IQ2014, which annualizes to 6.6 percent, and 7.4 percent relative to a year earlier. China’s GDP grew 1.9 percent in IIQ2014, which annualizes at 7.8 percent, and 7.5 percent relative to a year earlier. China’s GDP grew 1.9 percent in IIIQ2014, which is equivalent to 7.8 percent in a year, and 7.3 percent relative to a year earlier. The GDP of China grew 1.5 percent in IVQ2014, which annualizes at 6.1 percent, and 7.3 percent relative to a year earlier. There is decennial change in leadership in China (http://www.xinhuanet.com/english/special/18cpcnc/index.htm). Growth rates of GDP of China in a quarter relative to the same quarter a year earlier have been declining from 2011 to 2014.
  • Euro Area. GDP fell 0.1 percent in the euro area in IQ2012 and decreased 0.3 in IQ2012 relative to a year earlier. Euro area GDP contracted 0.3 percent IIQ2012 and fell 0.6 percent relative to a year earlier. In IIIQ2012, euro area GDP fell 0.1 percent and declined 0.8 percent relative to a year earlier. In IVQ2012, euro area GDP fell 0.4 percent relative to the prior quarter and fell 0.9 percent relative to a year earlier. In IQ2013, the GDP of the euro area fell 0.4 percent and decreased 1.2 percent relative to a year earlier. The GDP of the euro area increased 0.3 percent in IIQ2013 and fell 0.6 percent relative to a year earlier. In IIIQ2013, euro area GDP increased 0.2 percent and fell 0.3 percent relative to a year earlier. The GDP of the euro area increased 0.2 percent in IVQ2013 and increased 0.4 percent relative to a year earlier. In IQ2014, the GDP of the euro area increased 0.3 percent and 1.1 percent relative to a year earlier. The GDP of the euro area increased 0.1 percent in IIQ2014 and increased 0.8 percent relative to a year earlier. The euro area’s GDP increased 0.2 percent in IIIQ2014 and increased 0.8 percent relative to a year earlier. The GDP of the euro area increased 0.3 percent in IVQ2014 and increased 0.9 percent relative to a year earlier.
  • Germany. The GDP of Germany increased 0.3 percent in IQ2012 and 1.5 percent relative to a year earlier. In IIQ2012, Germany’s GDP increased 0.1 percent and increased 0.3 percent relative to a year earlier but 0.8 percent relative to a year earlier when adjusted for calendar (CA) effects. In IIIQ2012, Germany’s GDP increased 0.1 percent and 0.1 percent relative to a year earlier. Germany’s GDP contracted 0.4 percent in IVQ2012 and decreased 0.3 percent relative to a year earlier. In IQ2013, Germany’s GDP decreased 0.4 percent and fell 1.8 percent relative to a year earlier. In IIQ2013, Germany’s GDP increased 0.8 percent and 0.5 percent relative to a year earlier. The GDP of Germany increased 0.3 percent in IIIQ2013 and 0.8 percent relative to a year earlier. In IVQ2013, Germany’s GDP increased 0.4 percent and 1.0 percent relative to a year earlier. The GDP of Germany increased 0.8 percent in IQ2014 and 2.6 percent relative to a year earlier. In IIQ2014, Germany’s GDP contracted 0.1 percent and increased 1.0 percent relative to a year earlier. The GDP of Germany increased 0.1 percent in IIIQ2014 and increased 1.2 percent relative to a year earlier. Germany’s GDP increased 0.7 percent in IVQ2014 and increased 1.6 percent relative to a year earlier.
  • United States. Growth of US GDP in IQ2012 was 0.6 percent, at SAAR of 2.3 percent and higher by 2.6 percent relative to IQ2011. US GDP increased 0.4 percent in IIQ2012, 1.6 percent at SAAR and 2.3 percent relative to a year earlier. In IIIQ2012, US GDP grew 0.6 percent, 2.5 percent at SAAR and 2.7 percent relative to IIIQ2011. In IVQ2012, US GDP grew 0.0 percent, 0.1 percent at SAAR and 1.6 percent relative to IVQ2011. In IQ2013, US GDP grew at 2.7 percent SAAR, 0.7 percent relative to the prior quarter and 1.7 percent relative to the same quarter in 2013. In IIQ2013, US GDP grew at 1.8 percent in SAAR, 0.4 percent relative to the prior quarter and 1.8 percent relative to IIQ2012. US GDP grew at 4.5 percent in SAAR in IIIQ2013, 1.1 percent relative to the prior quarter and 2.3 percent relative to the same quarter a year earlier (http://cmpassocregulationblog.blogspot.com/2015/03/irrational-exuberance-mediocre-cyclical.html and earlier (http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html) with weak hiring (http://cmpassocregulationblog.blogspot.com/2015/02/g20-monetary-policy-recovery-without.html). In IVQ2013, US GDP grew 0.9 percent at 3.5 percent SAAR and 3.1 percent relative to a year earlier. In IQ2014, US GDP decreased 0.5 percent, increased 1.9 percent relative to a year earlier and fell 2.1 percent at SAAR. In IIQ2014, US GDP increased 1.1 percent at 4.6 percent SAAR and increased 2.6 percent relative to a year earlier. US GDP increased 1.2 percent in IIIQ2014 at 5.0 percent SAAR and increased 2.7 percent relative to a year earlier. In IVQ2014, US GDP increased 0.5 percent at SAAR of 2.2 percent and increased 2.4 percent relative to a year earlier.
  • United Kingdom. In IQ2012, UK GDP increased 0.1 percent, increasing 1.0 percent relative to a year earlier. UK GDP fell 0.2 percent in IIQ2012 and increased 0.6 percent relative to a year earlier. UK GDP increased 0.8 percent in IIIQ2012 and increased 0.7 percent relative to a year earlier. UK GDP fell 0.3 percent in IVQ2012 relative to IIIQ2012 and increased 0.4 percent relative to a year earlier. UK GDP increased 0.6 percent in IQ2013 and 0.9 percent relative to a year earlier. UK GDP increased 0.6 percent in IIQ2013 and 1.7 percent relative to a year earlier. In IIIQ2013, UK GDP increased 0.7 percent and 1.6 percent relative to a year earlier. UK GDP increased 0.4 percent in IVQ2013 and 2.4 percent relative to a year earlier. In IQ2014, UK GDP increased 0.7 percent and 2.5 percent relative to a year earlier. UK GDP increased 0.8 percent in IIQ2014 and 2.6 percent relative to a year earlier. In IIIQ2014, UK GDP increased 0.7 percent and increased 2.5 percent relative to a year earlier. UK GDP increased 0.5 percent in IVQ2014 and increased 2.7 percent relative to a year earlier.
  • Italy. Italy has experienced decline of GDP in nine consecutive quarters from IIIQ2011 to IIIQ2013 and in IIQ2014 and IIIQ2014. Italy’s GDP fell 0.9 percent in IQ2012 and declined 1.9 percent relative to IQ2011. Italy’s GDP fell 0.4 percent in IIQ2012 and declined 2.4 percent relative to a year earlier. In IIIQ2012, Italy’s GDP fell 0.4 percent and declined 2.5 percent relative to a year earlier. The GDP of Italy contracted 0.8 percent in IVQ2012 and fell 2.5 percent relative to a year earlier. In IQ2013, Italy’s GDP contracted 0.9 percent and fell 2.5 percent relative to a year earlier. Italy’s GDP fell 0.2 percent in IIQ2013 and 2.2 percent relative to a year earlier. The GDP of Italy changed 0.0 percent in IIIQ2013 and declined 1.8 percent relative to a year earlier. Italy’s GDP decreased 0.1 percent in IVQ2013 and decreased 1.2 percent relative to a year earlier. In IQ2014, Italy’s GDP changed 0.0 percent and fell 0.3 percent relative to a year earlier. The GDP of Italy fell 0.2 percent in IIQ2014 and declined 0.4 percent relative to a year earlier. In IIIQ2014, Italy’s GDP contracted 0.1 percent and fell 0.5 percent relative to a year earlier. The GDP of Italy changed 0.0 percent in IVQ20214 and declined 0.3 percent relative to a year earlier
  • France. France’s GDP increased 0.2 percent in IQ2012 and increased 0.6 percent relative to a year earlier. France’s GDP decreased 0.3 percent in IIQ2012 and increased 0.4 percent relative to a year earlier. In IIIQ2012, France’s GDP increased 0.2 percent and increased 0.4 percent relative to a year earlier. France’s GDP fell 0.2 percent in IVQ2012 and changed 0.0 percent relative to a year earlier. In IQ2013, France’s GDP changed 0.0 percent and declined 0.2 percent relative to a year earlier. The GDP of France increased 0.7 percent in IIQ2013 and 0.7 percent relative to a year earlier. France’s GDP decreased 0.1 percent in IIIQ2013 and increased 0.3 percent relative to a year earlier. The GDP of France increased 0.3 percent in IVQ2013 and 0.8 percent relative to a year earlier. In IQ2014, France’s GDP changed 0.0 percent and increased 0.8 percent relative to a year earlier. In IIQ2014, France’s GDP contracted 0.1 percent and changed 0.0 percent relative to a year earlier. France’s GDP increased 0.3 percent in IIIQ2014 and increased 0.4 percent relative to a year earlier. The GDP of France increased 0.1 percent in IVQ2014 and increased 0.2 percent relative to a year earlier

Table V-3, Percentage Changes of GDP Quarter on Prior Quarter and on Same Quarter Year Earlier, ∆%

 

IQ2012/IVQ2011

IQ2012/IQ2011

United States

QOQ: 0.6       

SAAR: 2.3

2.6

Japan

QOQ: 1.1

SAAR: 4.4

3.5

China

1.4

8.1

Euro Area

-0.1

-0.3

Germany

0.3

1.5

France

0.2

0.6

Italy

-0.9

-1.9

United Kingdom

0.1

1.0

 

IIQ2012/IQ2012

IIQ2012/IIQ2011

United States

QOQ: 0.4        

SAAR: 1.6

2.3

Japan

QOQ: -0.4
SAAR: -1.5

3.5

China

2.1

7.6

Euro Area

-0.3

-0.6

Germany

0.1

0.3 0.8 CA

France

-0.3

0.4

Italy

-0.4

-2.4

United Kingdom

-0.2

0.6

 

IIIQ2012/ IIQ2012

IIIQ2012/ IIIQ2011

United States

QOQ: 0.6 
SAAR: 2.5

2.7

Japan

QOQ: –0.6
SAAR: –2.2

0.2

China

2.0

7.4

Euro Area

-0.1

-0.8

Germany

0.1

0.1

France

0.2

0.4

Italy

-0.4

-2.5

United Kingdom

0.8

0.7

 

IVQ2012/IIIQ2012

IVQ2012/IVQ2011

United States

QOQ: 0.0
SAAR: 0.1

1.6

Japan

QOQ: -0.2

SAAR: -0.7

0.0

China

1.9

7.9

Euro Area

-0.4

-0.9

Germany

-0.4

-0.3

France

-0.2

0.0

Italy

-0.8

-2.5

United Kingdom

-0.3

0.4

 

IQ2013/IVQ2012

IQ2013/IQ2012

United States

QOQ: 0.7
SAAR: 2.7

1.7

Japan

QOQ: 1.4

SAAR: 5.7

0.5

China

1.7

7.8

Euro Area

-0.4

-1.2

Germany

-0.4

-1.8

France

0.0

-0.2

Italy

-0.9

-2.5

UK

0.6

0.9

 

IIQ2013/IQ2013

IIQ2013/IIQ2012

United States

QOQ: 0.4

SAAR: 1.8

1.8

Japan

QOQ: 0.8

SAAR: 3.2

1.4

China

1.8

7.5

Euro Area

0.3

-0.6

Germany

0.8

0.5

France

0.7

0.7

Italy

-0.2

-2.2

UK

0.6

1.7

 

IIIQ2013/IIQ2013

III/Q2013/  IIIQ2012

USA

QOQ: 1.1
SAAR: 4.5

2.3

Japan

QOQ: 0.4

SAAR: 1.5

2.2

China

2.3

7.9

Euro Area

0.2

-0.3

Germany

0.3

0.8

France

-0.1

0.3

Italy

0.0

-1.8

UK

0.7

1.6

 

IVQ2013/IIIQ2013

IVQ2013/IVQ2012

USA

QOQ: 0.9

SAAR: 3.5

3.1

Japan

QOQ: -0.4

SAAR: -1.4

2.3

China

1.8

7.6

Euro Area

0.2

0.4

Germany

0.4

1.0

France

0.3

0.8

Italy

-0.1

-1.2

UK

0.4

2.4

 

IQ2014/IVQ2013

IQ2014/IQ2013

USA

QOQ -0.5

SAAR -2.1

1.9

Japan

QOQ: 1.3

SAAR: 5.5

2.4

China

1.6

7.4

Euro Area

0.3

1.1

Germany

0.8

2.6

France

0.0

0.8

Italy

0.0

-0.3

UK

0.7

2.5

 

IIQ2014/IQ2014

IIQ2014/IIQ2013

USA

QOQ 1.1

SAAR 4.6

2.6

Japan

QOQ: -1.7

SAAR: -6.7

-0.4

China

1.9

7.5

Euro Area

0.1

0.8

Germany

-0.1

1.0

France

-0.1

0.0

Italy

-0.2

-0.4

UK

0.8

2.6

 

IIIQ2014/IIQ2014

IIIQ2014/IIIQ2013

USA

QOQ: 1.2

SAAR: 5.0

2.7

Japan

QOQ: -0.6

SAAR: -2.3

-1.4

China

1.9

7.3

Euro Area

0.2

0.8

Germany

0.1

1.2

France

0.3

0.4

Italy

-0.1

-0.4

UK

0.7

2.5

 

IVQ2014/IIIQ2014

IVQ2014/IVQ2013

USA

QOQ: 0.5

SAAR: 2.2

2.4

Japan

QOQ: 0.6

SAAR: 2.2

-0.5

China

1.5

7.3

Euro Area

0.3

0.9

Germany

0.7

1.6

France

0.1

0.2

Italy

0.0

-0.3

UK

0.5

2.7

QOQ: Quarter relative to prior quarter; SAAR: seasonally adjusted annual rate

Source: Country Statistical Agencies http://www.census.gov/aboutus/stat_int.html

Table V-4 provides two types of data: growth of exports and imports in the latest available months and in the past 12 months; and contributions of net trade (exports less imports) to growth of real GDP.

  • China. In Jan 2015, China exports decreased 3.3 percent relative to a year earlier and imports decreased 19.9 percent.
  • Germany. Germany’s exports increased 3.4 percent in the month of Dec 2014 and increased 10.0 percent in the 12 months ending in Dec 2014. Germany’s imports decreased 0.8 percent in the month of Dec 2014 and increased 4.0 percent in the 12 months ending in Dec. Net trade contributed 0.8 percentage points to growth of GDP in IQ2012, contributed 0.4 percentage points in IIQ2012, contributed 0.3 percentage points in IIIQ2012, deducted 0.5 percentage points in IVQ2012, deducted 0.3 percentage points in IQ2013 and added 0.1 percentage points in IIQ2013. Net traded deducted 0.5 percentage points from Germany’s GDP growth in IIIQ2013 and added 0.5 percentage points to GDP growth in IVQ2013. Net trade deducted 0.1 percentage points from GDP growth in IQ2014. Net trade added 0.0 percentage points to GDP growth in IIQ2014 and added 0.4 percentage points in IIIQ2014. Net trade added 0.2 percentage points to GDP growth in IVQ2014.
  • United Kingdom. Net trade contributed 0.7 percentage points in IIQ2013. In IIIQ2013, net trade deducted 1.7 percentage points from UK growth. Net trade contributed 0.1 percentage points to UK value added in IVQ2013. Net trade contributed 0.2 percentage points to UK value added in IQ2014 and 0.3 percentage points in IIQ2014. Net trade deducted 0.7 percentage points to GDP growth in IIIQ2014 and added 0.6 percentage points in IVQ2014.
  • France. France’s exports increased 1.8 percent in Dec 2014 while imports increased 2.6 percent. France’s exports increased 3.7 percent in the 12 months ending in Dec 2014 and imports decreased 1.4 percent relative to a year earlier. Net traded added 0.1 percentage points to France’s GDP in IIIQ2012 and 0.1 percentage points in IVQ2012. Net trade deducted 0.1 percentage points from France’s GDP growth in IQ2013 and added 0.3 percentage points in IIQ2013, deducting 1.7 percentage points in IIIQ2013. Net trade added 0.1 percentage points to France’s GDP in IVQ2013 and deducted 0.1 percentage points in IQ2014. Net trade deducted 0.2 percentage points from France’s GDP growth in IIQ2014 and deducted 0.2 percentage points in IIIQ2014. Net trade added 0.1 percentage points to France’s GDP growth in IVQ2014.
  • United States. US exports increased 0.8 percent in Dec 2014 and goods exports increased 2.8 percent in Jan-Dec 2014 relative to a year earlier. Imports increased 2.2 percent in Dec 2014 and goods imports increased 3.04 percent in Jan-Dec 2014 relative to a year earlier. Net trade deducted 0.04 percentage points from GDP growth in IIQ2012 and added 0.39 percentage points in IIIQ2012 and 0.79 percentage points in IVQ2012. Net trade deducted 0.08 percentage points from US GDP growth in IQ2013 and deducted 0.54 percentage points in IIQ2013. Net traded added 0.59 percentage points to US GDP growth in IIIQ2013. Net trade added 1.08 percentage points to US GDP growth in IVQ2013. Net trade deducted 1.66 percentage points from US GDP growth in IQ2014 and deducted 0.34 percentage points in IIQ2014. Net trade added 0.78 percentage points to IIIQ2014. Net trade deducted 1.15 percentage points from GDP growth in IVQ2014. Industrial production increased 0.2 percent in Jan 2015 and decreased 0.3 percent in Dec 2014 after increasing 1.1 percent in Nov 2014. The Federal Reserve completed its annual revision of industrial production and capacity utilization on Mar 28, 2014 (http://www.federalreserve.gov/releases/g17/revisions/Current/DefaultRev.htm). The report of the Board of Governors of the Federal Reserve System states (http://www.federalreserve.gov/releases/g17/Current/default.htm):

“Industrial production increased 0.2 percent in January after decreasing 0.3 percent in December. The rates of change in output for September through December are all slightly lower than previously published; even so, production is estimated to have advanced at an annual rate of 4.3 percent in the fourth quarter of last year. In January, manufacturing output moved up 0.2 percent and was 5.6 percent above its year-earlier level. The index for mining decreased 1.0 percent, with the decline more than accounted for by a substantial drop in the index for oil and gas well drilling and related support activities. The output of utilities increased 2.3 percent. At 106.2 percent of its 2007 average, total industrial production in January was 4.8 percent above its level of a year earlier. Capacity utilization for the industrial sector was unchanged in January at 79.4 percent, a rate that is 0.7 percentage point below its long-run (1972–2014) average.”

In the six months ending in Jan 2015, United States national industrial production accumulated increase of 1.6 percent at the annual equivalent rate of 3.2 percent, which is lower than growth of 4.8 percent in the 12 months ending in Jan 2015. Excluding growth of 1.1 percent in Nov 2014, growth in the remaining five months from Aug 2014 to Jan 2015 accumulated to 0.5 percent or 1.2 percent annual equivalent. Industrial production declined in two of the past six months. Industrial production expanded at annual equivalent 4.1 percent in the most recent quarter from Nov 2014 to Jan 2015 and at 2.4 percent in the prior quarter Aug to Oct 2014. Business equipment accumulated growth of 1.4 percent in the six months from Aug 2014 to Jan 2015 at the annual equivalent rate of 2.8 percent, which is lower than growth of 7.3 percent in the 12 months ending in Jan 2015. The Fed analyzes capacity utilization of total industry in its report (http://www.federalreserve.gov/releases/g17/Current/default.htm): “Capacity utilization for the industrial sector was unchanged in January at 79.4 percent, a rate that is 0.7 percentage point below its long-run (1972–2014) average.” United States industry apparently decelerated to a lower growth rate followed by possible acceleration and oscillating growth in past months.

Manufacturing fell 21.9 from the peak in Jun 2007 to the trough in Apr 2009 and increased by 25.2 percent from the trough in Apr 2009 to Dec 2014. Manufacturing grew 24.2 percent from the trough in Apr 2009 to Jan 2015. Manufacturing output in Jan 2015 is 3.1 percent below the peak in Jun 2007. Growth at trend in the entire cycle from IVQ2007 to IVQ2014 would have accumulated to 23.0 percent. GDP in IVQ2014 would be $18,438.0 billion (in constant dollars of 2009) if the US had grown at trend, which is higher by $2,126.4 billion than actual $16,311.6 billion. There are about two trillion dollars of GDP less than at trend, explaining the 28.3 million unemployed or underemployed equivalent to actual unemployment of 16.5 percent of the effective labor force (Section I and earlier http://cmpassocregulationblog.blogspot.com/2015/02/job-creation-and-monetary-policy-twenty.html and earlier http://cmpassocregulationblog.blogspot.com/2015/01/fluctuating-valuations-of-risk.html). US GDP in IVQ2014 is 11.5 percent lower than at trend. US GDP grew from $14,991.8 billion in IVQ2007 in constant dollars to $16,311.6 billion in IVQ2014 or 8.8 percent at the average annual equivalent rate of 1.2 percent. Cochrane (2014Jul2) estimates US GDP at more than 10 percent below trend. 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 at average 3.3 percent per year from Jan 1919 to Jan 2015. Growth at 3.3 percent per year would raise the NSA index of manufacturing output from 99.2392 in Dec 2007 to 124.8993 in Jan 2015. The actual index NSA in Jan 2015 is 99.8883, which is 20.0 percent below trend. Manufacturing output grew at average 2.4 percent between Dec 1986 and Dec 2014, raising the index at trend to 117.3927 in Jan 2015. The output of manufacturing at 99.8883 in Jan 2015 is 14.9 percent below trend under this alternative calculation.

Table V-4, Growth of Trade and Contributions of Net Trade to GDP Growth, ∆% and % Points

 

Exports
M ∆%

Exports 12 M ∆%

Imports
M ∆%

Imports 12 M ∆%

USA

0.8 Dec

2.8

Jan-Dec

2.2 Nov

3.4

Jan-Dec

Japan

 

Jan 2015

17.0

Dec

12.9

Nov

4.9

Oct

9.6

Sep

6.9

Aug

-1.3

Jul

3.9

Jun

-2.0

May 2014

-2.7

Apr 2014

5.1

Mar 2014

1.8

Feb 2014

9.5

Jan 2014

9.5

Dec 2013

15.3

Nov 2013

18.4

Oct 2013

18.6

Sep 2013

11.5

Aug 2013

14.7

Jul 2013

12.2

Jun 2013 7.4

May 2013

10.1

Apr 2013

3.8

Mar 2013

1.1

Feb 2013

-2.9

Jan 2013 6.4

Dec -5.8

Nov -4.1

Oct -6.5

Sep -10.3

Aug -5.8

Jul -8.1

 

Jan 2015

-9.0

Dec

1.9

Nov

-1.7

Oct

2.7

Sep

6.2

Aug

-1.5

Jul

2.3

Jun

8.4

May 2014

-3.6

Apr 2013

3.4

Mar 2014

18.1

Feb 2014

9.0

Jan 2014

25.0

Dec 2013 24.7

Nov 2013

21.1

Oct 2013

26.1

Sep 2013

16.5

Aug 2013

16.0

Jul 2013

19.6

Jun 2013

11.8

May 2013

10.0

Apr 2013

9.4

Mar 2013

5.5

Feb 2013

7.3

Jan 2013 7.3

Dec 1.9

Nov 0.8

Oct -1.6

Sep 4.1

Aug -5.4

Jul 2.1

China

 

2015

-3.3 Jan

2014

9.7 Dec

4.7 Nov

11.6 Oct

15.3 Sep

9.4 Aug

14.5 Jul

7.2 Jun

7.0 May

0.9 Apr

-6.6 Mar

-18.1 Feb

10.6 Jan

2013

4.3 Dec

12.7 Nov

5.6 Oct

-0.3 Sep

7.2 Aug

5.1 Jul

-3.1 Jun

1.0 May

14.7 Apr

10.0 Mar

21.8 Feb

25.0 Jan

 

2015

-19.9 Jan

2014

-2.4 Dec

-6.7 Nov

4.6 Oct

7.0 Sep

-2.4 Aug

-1.6 Jul

5.5 Jun

-1.6 May

-0.8 Apr

-11.3 Mar

10.1 Feb

10.0 Jan

2013

8.3 Dec

5.3 Nov

7.6 Oct

7.4 Sep

7.0 Aug

10.9 Jul

-0.7 Jun

-0.3 May

16.8 Apr

14.1 Mar

-15.2 Feb

28.8 Jan

Euro Area

8.0 12-M Dec

2.4 Jan-Dec

1.0 12-M Dec

0.1 Jan-Dec

Germany

3.4 Dec CSA

10.0 Dec

-0.8 Dec CSA

4.0 Nov

France

Dec

1.8

3.7

2.6

-1.4

Italy Dec

2.6

6.3

-1.6

-1.3

UK

-0.2 Dec

-0.1 Oct-Dec 14 /Oct-Dec 13

-2.2 Dec

-2.2 Oct-Dec 14/Oct-Dec 13

Net Trade % Points GDP Growth

% Points

     

USA

IVQ2014

-1.15

IIIQ2014

0.78

IIQ2014

-0.34

IQ2014

-1.66

IVQ2013

1.08

IIIQ2013

0.59

IIQ2013

-0.54

IQ2013

-0.08

IVQ2012 +0.79

IIIQ2012

0.39

IIQ2012 -0.04

IQ2012 -0.11

     

Japan

0.3

IQ2012

-1.4 IIQ2012

-1.9 IIIQ2012

-0.4 IVQ2012

1.6

IQ2013

0.2

IIQ2013

-1.5

IIIQ2013

-2.1

IVQ2013

-1.2

IQ2014

4.2

IIQ2014

0.2

IIIQ2014

0.9

IVQ2014

     

Germany

IQ2012

0.8 IIQ2012 0.4 IIIQ2012 0.3 IVQ2012

-0.5

IQ2013

-0.3 IIQ2013

0.1

IIIQ2013

-0.5

IVQ2013

0.5

IQ2014

-0.1

IIQ2014

0.0

IIIQ2014

0.4

IVQ2014

0.2

     

France

0.1 IIIQ2012

0.1 IVQ2012

-0.1 IQ2013

0.3

IIQ2013 -1.7

IIIQ2013

0.1

IVQ2013

-0.1

IQ2014

-0.2

IIQ2014

-0.2

IIIQ2014

0.1

IVQ2014

     

UK

0.7

IIQ2013

-1.7

IIIQ2013

0.1

IVQ2013

0.2

IQ2014

0.3

IIQ2014

-0.7

IIIQ2014

0.6

IVQ2014

     

Sources: Country Statistical Agencies http://www.census.gov/foreign-trade/

The geographical breakdown of exports and imports of Japan with selected regions and countries is in Table VB-5 for Jan 2015. The share of Asia in Japan’s trade is close to one-half for 53.9 percent of exports and 48.7 percent of imports. Within Asia, exports to China are 17.0 percent of total exports and imports from China 24.3 percent of total imports. While exports to China increased 20.8 percent in the 12 months ending in Jan 2015, imports from China decreased 6.9 percent. The largest export market for Japan in Jan 2015 is the US with share of 19.4 percent of total exports, which is close to that of China, and share of imports from the US of 8.8 percent in total imports. Japan’s exports to the US increased 16.5 percent in the 12 months ending in Jan 2015 and imports from the US decreased 1.4 percent. Western Europe has share of 10.9 percent in Japan’s exports and of 10.1 percent in imports. Rates of growth of exports of Japan in Jan 2015 are 16.5 percent for exports to the US, 6.6 percent for exports to Brazil and 0.4 percent for exports to Germany. Comparisons relative to 2011 may have some bias because of the effects of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Deceleration of growth in China and the US and threat of recession in Europe can reduce world trade and economic activity. Growth rates of imports in the 12 months ending in Jan 2015 are mixed. Imports from Asia decreased 3.0 percent in the 12 months ending in Jan 2015 while imports from China decreased 3.0 percent. Data are in millions of yen, which may have effects of recent depreciation of the yen relative to the United States dollar (USD).

Table VB-5, Japan, Value and 12-Month Percentage Changes of Exports and Imports by Regions and Countries, ∆% and Millions of Yen

Jan 2015

Exports
Millions Yen

12 months ∆%

Imports Millions Yen

12 months ∆%

Total

6,144,713

17.0

7,322,176

-9.0

Asia

3,314,119

% Total 53.9

22.7

3,562,992 % Total 48.7

-3.0

China

1,041,905

% Total 17.0

20.8

1,778,299 % Total 24.3

-6.9

USA

1,192,663

% Total 19.4

16.5

647,255 % Total

8.8

-1.4

Canada

78,303

20.8

93,241

5.2

Brazil

40,584

6.6

86,272

-14.3

Mexico

87,868

21.2

38,506

7.0

Western Europe

671,916 % Total 10.9

8.2

741,708 % Total 10.1

-3.3

Germany

160,392

0.4

208,587

-8.8

France

48,630

-0.4

98,481

-0.5

UK

115,715

31.7

59,238

10.2

Middle East

216,735

6.1

1,022,772

-38.3

Australia

115,777

5.1

467,520

-1.9

Source: Japan, Ministry of Finance http://www.customs.go.jp/toukei/info/index_e.htm

World trade projections of the IMF are in Table V-6. There is increasing growth of the volume of world trade of goods and services from 3.0 percent in 2013 to 5.0 percent in 2015 and 5.6 percent on average from 2016 to 2019. World trade would be slower for advanced economies while emerging and developing economies (EMDE) experience faster growth. World economic slowdown would be more challenging with lower growth of world trade.

Table V-6, IMF, Projections of World Trade, USD Billions, USD/Barrel and Annual ∆%

 

2013

2014

2015

Average ∆% 2016-2019

World Trade Volume (Goods and Services)

3.0

3.8

5.0

5.6

Exports Goods & Services

3.2

3.7

5.0

5.5

Imports Goods & Services

2.8

3.9

5.0

5.6

World Trade Value of Exports Goods & Services USD Billion

23,114

23,928

24,948

Average ∆% 2006-2015

20,259

Value of Exports of Goods USD Billion

18,671

19,299

20,107

Average ∆% 2006-2015

16,312

Average Oil Price USD/Barrel

104.07

102.76

99.36

Average ∆% 2006-2015

88.85

Average Annual ∆% Export Unit Value of Manufactures

-1.1

-0.2

-0.5

Average ∆% 2006-2015

-0.6

Exports of Goods & Services

2013

2014

2015

Average ∆% 2016-2019

Euro Area

1.8

3.5

4.3

4.7

EMDE

4.4

3.9

5.8

6.1

G7

1.8

2.9

4.2

4.9

Imports Goods & Services

       

Euro Area

0.5

3.4

3.9

4.7

EMDE

5.3

4.4

6.1

6.3

G7

1.2

3.6

4.1

4.9

Terms of Trade of Goods & Services

       

Euro Area

0.8

-0.4

-0.3

-0.1

EMDE

-0.2

-0.02

-0.6

-0.4

G7

0.8

0.7

-0.2

0.0

Terms of Trade of Goods

       

Euro Area

1.2

0.03

-0.02

-0.2

EMDE

-0.2

0.2

-0.4

-0.3

G7

0.9

0.3

-0.1

-0.1

Notes: Commodity Price Index includes Fuel and Non-fuel Prices; Commodity Industrial Inputs Price includes agricultural raw materials and metal prices; Oil price is average of WTI, Brent and Dubai

Source: International Monetary Fund World Economic Outlook databank

http://www.imf.org/external/ns/cs.aspx?id=28

The JP Morgan Global All-Industry Output Index of the JP Morgan Manufacturing and Services PMI, produced by JP Morgan and Markit in association with ISM and IFPSM, with high association with world GDP, increased to 53.9 in Feb from 53.0 in Jan, indicating expansion at slightly higher rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/febc72758d7e4f4da8961c17c008d1f9). This index has remained above the contraction territory of 50.0 during 67 consecutive months. The employment index did not change from 51.7 in Jan to 51.7 in Feb with input prices rising at faster rate, new orders increasing at faster rate and output increasing at faster rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/febc72758d7e4f4da8961c17c008d1f9). David Hensley, Director of Global Economic Coordination at JP Morgan, finds moderate acceleration of world economic growth in IQ2015 (http://www.markiteconomics.com/Survey/PressRelease.mvc/febc72758d7e4f4da8961c17c008d1f9). The JP Morgan Global Manufacturing PMI, produced by JP Morgan and Markit in association with ISM and IFPSM, increased to 52.0 in Feb from 51.7 in Dec (http://www.markiteconomics.com/Survey/PressRelease.mvc/e58af6424edc4dfeb2fe8b62b2a84ca6). New export orders expanded for the nineteenth consecutive month. David Hensley, Director of Global Economics Coordination at JP Morgan Chase, finds continuing growth in global manufacturing with output increasing at around annual seasonally adjusted 4.0 percent (http://www.markiteconomics.com/Survey/PressRelease.mvc/e58af6424edc4dfeb2fe8b62b2a84ca6). The HSBC Brazil Composite Output Index, compiled by Markit, increased from 49.2 in Jan to 51.3 in Feb, indicating moderate contraction in activity of Brazil’s private sector (http://www.markiteconomics.com/Survey/PressRelease.mvc/e3331afa76fc4a1bb68dc6331473ddb0). The HSBC Brazil Services Business Activity index, compiled by Markit, increased from 48.4 in Jan to 52.3 in Feb, indicating stronger services activity (http://www.markiteconomics.com/Survey/PressRelease.mvc/e3331afa76fc4a1bb68dc6331473ddb0). Pollyana De Lima, Economist at Markit, finds stronger services activity with uncertanties (http://www.markiteconomics.com/Survey/PressRelease.mvc/e3331afa76fc4a1bb68dc6331473ddb0). The HSBC Brazil Purchasing Managers’ IndexTM (PMI) decreased from 50.7 in Jan to 49.6 in Feb, indicating moderate deterioration in manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/a3de289a55704217948d1da667940e14). Paul Smith, Economist at Markit, finds stagnation and cost-push pressures perhaps because of currency depreciation (http://www.markiteconomics.com/Survey/PressRelease.mvc/76ee5ab696c44271ac7eaa6e6da02cea).

VA United States. The Markit Flash US Manufacturing Purchasing Managers’ Index (PMI) seasonally adjusted increased to 54.3 in Feb from 53.9 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/76d54ef7fac944e6a41abf20258b097f). New export orders softened. Chris Williamson, Chief Economist at Markit, finds that manufacturing provides strong contribution to economic growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/76d54ef7fac944e6a41abf20258b097f). The Markit Flash US Services PMI™ Business Activity Index increased from 54.0 in Jan to 57.0 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/2a607041731a438ab26c3eff9bf6bd5f). The Markit Flash US Composite PMI™ Output Index increased from 54.4 in Jan to 56.8 in Feb. Chris Williamson, Chief Economist at Markit, finds that the surveys are consistent with growth of GDP around 3.0 percent (http://www.markiteconomics.com/Survey/PressRelease.mvc/2a607041731a438ab26c3eff9bf6bd5f). The Markit US Composite PMI™ Output Index of Manufacturing and Services increased to 57.2 in Feb from 54.4 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/de457cc1d40b4f0182e3e9adca09f723). The Markit US Services PMI™ Business Activity Index increased from 54.2 in Jan to 57.1 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/de457cc1d40b4f0182e3e9adca09f723). Chris Williamson, Chief Economist at Markit, finds the indexes consistent with US growth at around 2.2 percent annual in IQ2015 (http://www.markiteconomics.com/Survey/PressRelease.mvc/de457cc1d40b4f0182e3e9adca09f723). The Markit US Manufacturing Purchasing Managers’ Index (PMI) increased to 55.1 in Feb from 53.9 in Jan, which indicates expansion at faster rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/c79b0b20c18a4644aebaddcf853fe976). New foreign orders expanded at moderate rate. Chris Williamson, Chief Economist at Markit, finds that the index suggests strong manufacturing growing at around annual 4.0 percent (http://www.markiteconomics.com/Survey/PressRelease.mvc/c79b0b20c18a4644aebaddcf853fe976). The purchasing managers’ index (PMI) of the Institute for Supply Management (ISM) Report on Business® decreased 0.6 percentage points from 53.5 in Jan to 52.9 in Feb, which indicates growth at slower rate (http://www.ism.ws/ISMReport/MfgROB.cfm?navItemNumber=29038). The index of new orders decreased 0.4 percentage points from 52.9 in Jan to 52.5 in Feb. The index of new export orders decreased 1.0 percentage points from 49.5 in Jan to 48.5 in Feb, contracting at faster rate. The Non-Manufacturing ISM Report on Business® PMI increased 0.2 percentage points from 56.7 in Jan to 56.9 in Feb, indicating growth of business activity/production during 67 consecutive months, while the index of new orders decreased 2.8 percentage points from 59.5 in Jan to 56.7 in Feb (http://www.ism.ws/ISMReport/NonMfgROB.cfm?navItemNumber=29043). Table USA provides the country economic indicators for the US.

Table USA, US Economic Indicators

Consumer Price Index

Jan 12 months NSA ∆%: -0.1; ex food and energy ∆%: 1.6 Jan month SA ∆%: -0.7; ex food and energy ∆%: 0.2
Blog 3/1/15

Producer Price Index

Finished Goods

Jan 12-month NSA ∆%: -3.1; ex food and energy ∆% 1.5
Jan month SA ∆% = -2.1; ex food and energy ∆%: 0.2

Final Demand

Jan 12-month NSA ∆%: 0.0; ex food and energy ∆% 1.6
Jan month SA ∆% = -0.8; ex food and energy ∆%: -0.1
Blog 2/22/15 3/1/15

PCE Inflation

Jan 12-month NSA ∆%: headline 0.2; ex food and energy ∆% 1.3
Blog 3/8/15

Employment Situation

Household Survey: Jan Unemployment Rate SA 5.5%
Blog calculation People in Job Stress Feb: 27.2 million NSA, 16.5% of Labor Force
Establishment Survey:
Feb Nonfarm Jobs +295,000; Private +288,000 jobs created 
Jan 12-month Average Hourly Earnings Inflation Adjusted ∆%: 2.3
Blog 3/8/15

Nonfarm Hiring

Nonfarm Hiring fell from 63.3 million in 2006 to 54.2 million in 2013 or by 9.1 million
Private-Sector Hiring Dec 2014 3.667 million lower by 0.101 million than 3.768 million in Dec 2006
Blog 2/15/15

GDP Growth

BEA Revised National Income Accounts
IQ2012/IQ2011 ∆%: 2.6

IIQ2012/IIQ2011 2.3

IIIQ2012/IIIQ2011 2.7

IVQ2012/IVQ2011 1.6

IQ2013/IQ2012 1.7

IIQ2013/IIQ2012 1.8

IIIQ2013/IIIQ2012 2.3

IVQ2013/IVQ2012 3.1

IQ2014/IQ2013 1.9

IIQ2014/IIQ2013 2.6

IIIQ2014/IIIQ2013 2.7

IVQ2014/IVQ2013 2.4

IQ2012 SAAR 2.3

IIQ2012 SAAR 1.6

IIIQ2012 SAAR 2.5

IVQ2012 SAAR 0.1

IQ2013 SAAR 2.7

IIQ2013 SAAR 1.8

IIIQ2013 SAAR 4.5

IVQ2013 SAAR 3.5

IQ2014 SAAR -2.1

IIQ2014 SAAR 4.6

IIIQ2014 SAAR 5.0

IVQ2014 SAAR 2.2
Blog 3/1/15

Real Private Fixed Investment

SAAR IVQ2014 4.5 ∆% IVQ2007 to IVQ2014: 3.3% Blog 3/1/15

Corporate Profits

IIIQ2014 SAAR: Corporate Profits 3.1; Undistributed Profits 12.4 Blog 12/28/14

Personal Income and Consumption

Jan month ∆% SA Real Disposable Personal Income (RDPI) SA ∆% 0.9
Real Personal Consumption Expenditures (RPCE): 0.3
12-month Jan NSA ∆%:
RDPI: 4.2; RPCE ∆%: 3.4
Blog 3/8/15

Quarterly Services Report

IIIQ14/IIIQ13 NSA ∆%:
Information 6.6

Financial & Insurance 4.8
Blog 12/14/14

Employment Cost Index

Compensation Private IVQ2014 SA ∆%: 0.6
Dec 12 months ∆%: 2.3
Blog 2/1/15

Industrial Production

Jan month SA ∆%: 0.2
Jan 12 months SA ∆%: 4.8

Manufacturing Jan SA 0.2 ∆% Jan 12 months SA ∆% 5.6, NSA 5.5
Capacity Utilization: 79.4
Blog 2/22/15

Productivity and Costs

Nonfarm Business Productivity IVQ2014∆% SAAE -2.2; IVQ2014/IVQ2013 ∆% -0.1; Unit Labor Costs SAAE IVQ2014 ∆% 4.1; IVQ2014/IVQ2013 ∆%: 2.6

Blog 3/8/15

New York Fed Manufacturing Index

General Business Conditions From Jan 9.95 to Feb 7.78
New Orders: From Jan 6.09 to Feb 1.22
Blog 2/22/15

Philadelphia Fed Business Outlook Index

General Index from Jan 6.3 to Feb 5.2
New Orders from Jan 8.5 to Feb 5.4
Blog 2/22/15

Manufacturing Shipments and Orders

New Orders SA Jan ∆% -0.2 Ex Transport -1.8

Jan NSA New Orders ∆% minus 4.9 Ex transport minus 6.1
Blog 3/8/15

Durable Goods

Jan New Orders SA ∆%: minus 2.8; ex transport ∆%: minus 0.3
Jan 15/Jan 14 New Orders NSA ∆%: 1.6; ex transport ∆% 1.5
Blog 3/1/15

Sales of New Motor Vehicles

Feb 2015 2,408,742; Jan 2014 2,206.454. Feb 15 SAAR 16.66 million, Jan 15 SAAR 16.92 million, Feb 2015 SAAR 15.41 million

Blog 3/8/15

Sales of Merchant Wholesalers

Jan-Dec 2014/Jan-Dec 2013 NSA ∆%: Total 5.1; Durable Goods: 5.8; Nondurable
Goods: 4.5
Blog 2/15/15

Sales and Inventories of Manufacturers, Retailers and Merchant Wholesalers

Dec 14 12-M NSA ∆%: Sales Total Business 2.8; Manufacturers 0.1
Retailers 4.3; Merchant Wholesalers 4.3
Blog 2/15/15

Sales for Retail and Food Services

Jan 2015/Jan 2014 ∆%: Retail and Food Services 2.8; Retail ∆% 1.6
Blog 2/15/15

Value of Construction Put in Place

Jan SAAR month SA ∆%: minus 1.1 Jan 12-month NSA:1.2
Blog 3/8/15

Case-Shiller Home Prices

Dec 2014/ Dec 2013 ∆% NSA: 10 Cities 4.3; 20 Cities: 4.5; National: 4.6
∆% Dec SA: 10 Cities 0.8 ; 20 Cities: 0.9
Blog 3/1/15

FHFA House Price Index Purchases Only

Dec SA ∆% 0.8;
12 month NSA ∆%: 5.5
Blog 3/1/15

New House Sales

Jan 2014 month SAAR ∆%: minus 0.2
Jan 2014/Jan 2013 NSA ∆%: 9.1
Blog 3/1/15

Housing Starts and Permits

Jan Starts month SA ∆% -2.0; Permits ∆%: -0.7
Jan 2015/Jan 2014 NSA ∆% Starts 18.3; Permits  ∆% 4.2
Blog 2/22/15

Trade Balance

Balance Dec SA -$46,557 million versus Nov -$39,751 million
Exports Dec SA ∆%: 0.8 Imports Dec SA ∆%: 2.2
Goods Exports Jan-Dec 2014/Jan-Dec 2013 NSA ∆%: 2.8
Goods Imports Jan-Dec 2014/Jan-Dec 2012 NSA ∆%: 3.4
Blog 2/8/15

Export and Import Prices

Jan 12-month NSA ∆%: Imports -8.0; Exports -5.4
Blog 2/15/15

Consumer Credit

Dec ∆% annual rate: Total 5.4; Revolving 7.9; Nonrevolving 4.5
Blog 2/15/15

Net Foreign Purchases of Long-term Treasury Securities

Dec Net Foreign Purchases of Long-term US Securities: $35.4 billion
Major Holders of Treasury Securities: China $1244 billion; Japan $1231 billion; Total Foreign US Treasury Holdings Jan $6154 billion
Blog 2/22/15

Treasury Budget

Fiscal Year 2015/2014 ∆% Jan: Receipts 8.7; Outlays 8.3; Individual Income Taxes 8.2
Deficit Fiscal Year 2011 $1,300 billion

Deficit Fiscal Year 2012 $1,087 billion

Deficit Fiscal Year 2013 $680 billion

Deficit Fiscal Year 2014 $483 billion

Blog 2/15/2015

CBO Budget and Economic Outlook

2012 Deficit $1087 B 6.8% GDP Debt $11,281 B 70.4% GDP

2013 Deficit $680 B, 4.1% GDP Debt $11,983 B 72.3% GDP

2014 Deficit $483 B 2.8% GDP Debt $12,779 B 74.1% GDP

2025 Deficit $1,088B, 4.0% GDP Debt $21,605B 78.7% GDP

2039: Long-term Debt/GDP 106%

Blog 8/26/12 11/18/12 2/10/13 9/22/13 2/16/14 8/24/14 9/14/14 3/1/15

Commercial Banks Assets and Liabilities

Dec 2014 SAAR ∆%: Securities 24.2 Loans 7.1 Cash Assets -52.4 Deposits 7.6

Blog 1/25/15

Flow of Funds Net Worth of Families and Nonprofits

IIIQ2014 ∆ since 2007

Assets +$14,260.8 BN

Nonfinancial $477.8 BN

Real estate -$1,215.2 BN

Financial +13,783.0 BN

Net Worth +$14,595.3 BN

Blog 12/28/14

Current Account Balance of Payments

IIIQ2014 -202,280 MM

% GDP 2.3

Blog 12/21/14

Collapse of United States Dynamism of Income Growth and Employment Creation

Blog 1/25/15

Links to blog comments in Table USA:

3/1/15 http://cmpassocregulationblog.blogspot.com/2015/03/irrational-exuberance-mediocre-cyclical.html

2/22/15 http://cmpassocregulationblog.blogspot.com/2015/02/world-financial-turbulence-squeeze-of.html

2/15/15 http://cmpassocregulationblog.blogspot.com/2015/02/g20-monetary-policy-recovery-without.html

2/8/15 http://cmpassocregulationblog.blogspot.com/2015/02/job-creation-and-monetary-policy-twenty.html

2/1/15 http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html

1/25/15 http://cmpassocregulationblog.blogspot.com/2015/01/competitive-currency-conflicts-world.html

12/28/14 http://cmpassocregulationblog.blogspot.com/2014/12/valuations-of-risk-financial-assets.html

12/21/14 http://cmpassocregulationblog.blogspot.com/2014/12/patience-on-interest-rate-increases.html

12/14/14 http://cmpassocregulationblog.blogspot.com/2014/12/global-financial-and-economic-risk.html

12/7/14 http://cmpassocregulationblog.blogspot.com/2014/12/financial-risks-twenty-six-million.html

9/14/14 http://cmpassocregulationblog.blogspot.com/2014/09/geopolitics-monetary-policy-and.html

8/24/14 http://cmpassocregulationblog.blogspot.com/2014/08/monetary-policy-world-inflation-waves.html

8/3/14 http://cmpassocregulationblog.blogspot.com/2014/08/fluctuating-financial-valuations.html

2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html

9/22/13 http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html

2/10/13 http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html

Motor vehicle sales and production in the US have been in long-term structural change. Table VA-1 provides the data on new motor vehicle sales and domestic car production in the US from 1990 to 2010. New motor vehicle sales grew from 14,137 thousand in 1990 to the peak of 17,806 thousand in 2000 or 29.5 percent. In that same period, domestic car production fell from 6,231 thousand in 1990 to 5,542 thousand in 2000 or -11.1 percent. New motor vehicle sales fell from 17,445 thousand in 2005 to 11,772 in 2010 or 32.5 percent while domestic car production fell from 4,321 thousand in 2005 to 2,840 thousand in 2010 or 34.3 percent. In Feb 2015, light vehicle sales accumulated to 2,408,742 which is higher by 9.2 percent relative to 2,206,454 a year earlier (http://motorintelligence.com/m_frameset.html). The seasonally adjusted annual rate of light vehicle sales in the US reached 16.23 million in Feb 2015, lower than 16.66 million in Jan 2015 and higher than 15.41 million in Feb 2014 (http://motorintelligence.com/m_frameset.html).

Table VA-1, US, New Motor Vehicle Sales and Car Production, Thousand Units

 

New Motor Vehicle Sales

New Car Sales and Leases

New Truck Sales and Leases

Domestic Car Production

1990

14,137

9,300

4,837

6,231

1991

12,725

8,589

4,136

5,454

1992

13,093

8,215

4,878

5,979

1993

14,172

8,518

5,654

5,979

1994

15,397

8,990

6,407

6,614

1995

15,106

8,536

6,470

6,340

1996

15,449

8,527

6,922

6,081

1997

15,490

8,273

7,218

5,934

1998

15,958

8,142

7,816

5,554

1999

17,401

8,697

8,704

5,638

2000

17,806

8,852

8,954

5,542

2001

17,468

8,422

9,046

4,878

2002

17,144

8,109

9,036

5,019

2003

16,968

7,611

9,357

4,510

2004

17,298

7,545

9,753

4,230

2005

17,445

7,720

9,725

4,321

2006

17,049

7,821

9,228

4,367

2007

16,460

7,618

8,683

3,924

2008

13,494

6,814

6.680

3,777

2009

10,601

5,456

5,154

2,247

2010

11,772

5,729

6,044

2,840

Source: US Census Bureau

http://www.census.gov/compendia/statab/cats/wholesale_retail_trade/motor_vehicle_sales.html

Chart VA-1 of the Board of Governors of the Federal Reserve provides output of motor vehicles and parts in the United States from 1972 to 2015. Output virtually stagnated since the late 1990s.

clip_image001

Chart VA-1, US, Motor Vehicles and Parts Output, 1972-2015

Source: Board of Governors of the Federal Reserve System

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

Manufacturers’ shipments decreased 2.0 percent in Jan 2015 and decreased 0.9 percent in Dec 2014 after decreasing 1.0 percent in Nov 2014. New orders decreased 0.2 percent in Jan 2015, after decreasing 3.5 percent in Dec 2014 and decreasing 1.7 percent in Nov 2014, as shown in Table VA-2. These data are very volatile. Volatility is illustrated by increase of 2642.2 percent of new orders of nondefense aircraft in Sep 2012 following decline by 97.2 percent in Aug 2012. New orders excluding transportation equipment decreased 1.8 percent in Jan 2015 after decreasing 2.3 percent in Dec 2014 and decreasing 1.3 percent in Nov 2014. Capital goods new orders, indicating investment, increased 8.1 percent in Jan 2015 after decreasing 10.3 percent in Dec 2014 and decreasing 2.7 percent in Nov 2014. New orders of nondefense capital goods increased 9.4 percent in Jan 2015 after decreasing 10.1 percent in Dec 2014 and decreasing 1.5 percent in Nov 2014. Excluding more volatile aircraft, capital goods orders increased 0.5 percent in Jan 2015 after decreasing 0.5 percent in Dec 2014 and decreasing 0.5 percent in Nov 2014.

Table VA-2, US, Value of Manufacturers’ Shipments and New Orders, SA, Month ∆%

 

Jan 2015 
∆%

Dec 2014 ∆%

Nov 2014 
∆%

Total

     

   S

-2.0

-0.9

-1.0

   NO

-0.2

-3.5

-1.7

Excluding
Transport

     

    S

-2.2

-1.8

-1.0

    NO

-1.8

-2.3

-1.3

Excluding
Defense

     

     S

-1.8

-1.1

-1.0

     NO

-0.2

-3.3

-1.3

Durable Goods

     

      S

-1.0

1.5

-0.7

      NO

2.8

-3.7

-2.2

Machinery

     

      S

-1.5

-0.9

-0.8

      NO

1.4

-3.3

-0.8

Computers & Electronic Products

     

      S

-0.6

-0.2

-0.3

      NO

1.7

-1.5

-0.6

Computers

     

      S

-2.1

-2.4

-0.9

      NO

23.6

-31.1

1.2

Transport
Equipment

     

      S

-1.1

4.0

-1.0

      NO

9.7

-10.0

-4.0

Automobiles

     

      S

-9.5

3.5

-0.9

Motor Vehicles

     

      S

-0.3

2.9

0.1

      NO

0.0

1.5

1.1

Nondefense
Aircraft

     

      S

9.7

3.4

-4.6

      NO

128.7

-58.1

-11.0

Capital Goods

     

      S

-0.3

1.2

-0.9

      NO

8.1

-10.3

-2.7

Nondefense Capital Goods

     

      S

1.3

0.8

-1.2

      NO

9.4

-10.1

-1.5

Capital Goods ex Aircraft

     

       S

0.1

0.4

-0.5

       NO

0.5

-0.5

-0.5

Nondurable Goods

     

       S

-3.1

-3.3

-1.2

       NO

-3.1

-3.3

-1.2

Note: Mfg: manufacturing; S: shipments; NO: new orders; Transport: transportation

Source: US Census Bureau

http://www.census.gov/manufacturing/m3/

Chart VA-2 of the US Census Bureau provides new orders of manufacturers from Feb 2014 to Jan 2015. There is significant volatility that prevents discerning clear trends. New orders fell in all the past five months.

clip_image003

Chart VA-2, US, Manufacturers’ New Orders 2014-2015 Seasonally Adjusted, Month ∆%

Source: US Census Bureau

http://www.census.gov/briefrm/esbr/www/esbr022.html

Chart VA-3 of the US Census Bureau provides total value of manufacturers’ new orders, seasonally adjusted, from 1992 to 2015. Seasonal adjustment reduces sharp oscillations. The series dropped nearly vertically during the global recession but rose along a path even steeper than in the high-growth period before the recession. The final segment suggests deceleration but similar segments occurred in earlier periods followed with continuing growth and stability currently.

clip_image004

Chart VA-3, US, Value of Total Manufacturers’ New Orders, Seasonally Adjusted, 1992-2015

Source: US Census Bureau

http://www.census.gov/manufacturing/m3/

Additional perspective on manufacturers’ shipments and new orders is provided by Table VA-3. Values are cumulative millions of dollars in Jan 2015 not seasonally adjusted (NSA). Shipments of all manufacturing industries in Jan 2015 total $437.6 billion and new orders total $429.8 billion, growing respectively by minus 4.1 percent and minus 4.9 percent relative to the same period in 2014. Excluding transportation equipment, shipments fell 5.7 percent and new orders decreased 6.1 percent. Excluding defense, shipments fell 4.1 percent and new orders fell 5.2 percent. Durable goods shipments reached $217.7 billion in Jan 2015, or 49.8 percent of the total, growing by 1.7 percent, and new orders $210.0 billion, or 48.9 percent of the total, growing by 1.7 percent. Important information in Table VA-3 is the large share of nondurable goods with shipments of $219.9 billion or 50.2 percent of the total, decreasing by 10.5 percent. Capital goods have relatively high value of $75.3 billion for shipments, growing 4.5 percent, and new orders $72.7 billion, decreasing 1.8 percent, which could be an indicator of future investment. Excluding aircraft, capital goods shipments reached $61.3 billion, growing 4.1 percent, and new orders $64.1 billion, increasing 0.4 percent. There is no suggestion in these data that the US economy is close to recession but manufacturing accounts for 11.2 percent of US national income in IIIQ2014. These data are not adjusted for inflation.

Table VA-3, US, Value of Manufacturers’ Shipments and New Orders, NSA, Millions of Dollars 

Jan 2015

Shipments

∆% 2015/
2014

New Orders

∆% 2015/
2014

Total

437,582

-4.1

429,826

-4.9

Excluding Transport

374,375

-5.7

370,789

-6.1

Excluding Defense

428,447

-4.1

421,969

-5.2

Durable Goods

217,731

3.3

209,975

1.7

Machinery

30,805

0.7

32,416

-7.1

Computers & Electronic Products

25,871

-3.3

18,871

5.3

Computers

262

-28.0

305

71.3

Transport Equipment

62,847

6.7

59,037

3.1

Automobiles

8,205

-5.5

   

Motor Vehicles

20,515

9.7

20,760

9.7

Nondefense Aircraft

10,315

15.5

7,038

-19.0

Capital Goods

75,308

4.5

72,671

-1.8

Nondefense Capital Goods

67,894

5.7

67,014

-2.1

Capital Goods ex Aircraft

61,309

4.1

64,133

0.4

Nondurable Goods

219,851

-10.5

219,851

-10.5

Food Products

64,621

3.6

   

Petroleum Refineries

40,404

-38.9

   

Chemical Products

57,692

-4.5

   

Note: Transport: transportation Source: US Census Bureau

Source: US Census Bureau

http://www.census.gov/manufacturing/m3/

Chart VA-4 of the US Census Bureau provides value of manufacturer’s new orders not seasonally adjusted from Jan 1992 to Jan 2015. Fluctuations are evident, which are smoothed by seasonal adjustment in the above Chart VA-3. The series drops nearly vertically during the global contraction and then resumes growth in a steep upward trend, flattening recently.

clip_image005

Chart VA-4, US, Value of Total Manufacturers’ New Orders, Not Seasonally Adjusted, 1992-2015

Source: US Census Bureau

http://www.census.gov/manufacturing/m3/

Construction spending at seasonally adjusted annualized rate (SAAR) reached $971.4 billion in Jan 2015, which was lower by 1.1 percent than in the prior month of Dec 2014, as shown in Table VA-4. Residential construction, with $357.2 billion accounting for 36.8 percent of total value of construction, increased 0.6 percent in Jan and nonresidential construction, with $614.1 billion accounting for 63.2 percent of the total, decreased 2.0 percent. Public construction decreased 12.6 percent while private construction decreased 0.5 percent. Data in Table VA-4 show that nonresidential construction at $614.1 billion is much higher in value than residential construction at $357.2 billion while total private construction at $697.6 billion is much higher than public construction at $273.8 billion, all in SAAR. Residential and nonresidential construction contributed positively to growth of GDP in the US in all quarters in 2012. Nonresidential investment added 0.20 percentage points to GDP growth in IQ2013 while residential construction added 0.22 percentage points. Nonresidential construction added 0.21 percentage points to GDP growth in IIQ2013 with residential construction adding 0.53 percentage points. Nonresidential construction added 0.67 percentage points to GDP growth in IIIQ2013 while residential construction added 0.34 percentage points. Nonresidential construction added 1.23 percentage points to GDP growth in IVQ2013 while residential construction deducted 0.28 percentage points. In 2012, residential construction added 0.33 percentage points to GDP growth and added 0.01 percentage points in 2011. Residential construction added 0.33 percentage points to GDP growth in 2013. Nonresidential construction added 0.84 percentage points to GDP growth in 2012 and 0.85 percentage points in 2011. Nonresidential construction added 0.37 percentage points to GDP growth in 2013. Residential construction added 0.05 percentage points to GDP growth in 2014 and nonresidential contruction added 0.78 percentage points. In IQ2014, residential construction deducted 0.17 percentage points from GDP growth and nonresidential construction added 0.20 percentage points. Nonresidential construction added 1.18 percentage points to GDP growth in IIQ2014 and residential construction added 0.27 percentage points. Nonresidential construction added 1.10 percentage points to GDP growth in IIIQ2014 while residential construction added 0.10 percentage points. In IVQ2014, nonresidential construction added 0.61 percentage points to GDP growth and residential construction added 0.11 percentage points (http://cmpassocregulationblog.blogspot.com/2015/03/irrational-exuberance-mediocre-cyclical.html).

Table VA-4, Construction Put in Place in the United States Seasonally Adjusted Annual Rate Million Dollars and Month and 12-Month ∆%  

Jan 2015

Jan 2014

SAAR  $ Millions

Month ∆%

12-Month

∆%

Total

971,384

-1.1

1.8

Residential

357,247

0.6

-3.2

Nonresidential

614,137

-2.0

4.8

Total Private

697,597

-0.5

0.5

Private Residential

351,722

0.6

-3.4

New Single Family

204,885

0.6

9.7

New Multi-Family

48,753

1.9

29.8

Private Nonresidential

345,875

-1.6

4.8

Total Public

273,787

-2.6

5.1

Public Residential

5,525

-1.7

14.5

Public Nonresidential

268,262

-2.6

4.9

SAAR: seasonally adjusted annual rate; B: billions

Source: US Census Bureau http://www.census.gov/construction/c30/c30index.html

Further information on construction spending is provided in Table VA-5. The original monthly estimates not-seasonally adjusted (NSA) and their 12-month rates of change are provided in the first two columns while the SAARs and their monthly changes are provided in the final two columns. There has been improvement in construction in the US. There are only nine declines in the monthly rate from Dec 2011 to Jan 2015, with four in 2014. Growth in 12 months NSA fell from 8.2 percent in Dec 2012 to 1.2 percent in Jan 2015.

Table VA-5, US, Value and Percentage Change in Value of Construction Put in Place, Dollars Millions and ∆%

 

Value NSA
Month $ Millions

12-Month ∆% NSA

Value
SAAR
$ Millions

Month ∆% SA*

Jan 2015

67,298

1.2

971,384

-1.1

Dec 2014

75,988

2.8

982,023

0.8

Nov

82,054

2.1

974,301

-0.6

Oct

90,522

3.9

980,422

1.4

Sep

89,530

4.0

966,432

0.6

Aug

89,992

2.4

961,066

0.1

Jul

86,888

4.3

960,043

0.3

Jun

86,141

5.1

957,120

-1.6

May

82,778

7.6

972,844

1.3

Apr

76,940

8.5

960,349

1.4

Mar

70,064

8.8

947,303

0.0

Feb

63,817

7.8

947,088

-0.8

Jan

66,486

11.5

954,642

-0.7

Dec 2013

73,893

9.6

961,158

0.9

Nov

80,373

7.5

952,531

1.3

Oct

87,163

5.8

939,933

1.7

Sep

86,101

6.4

924,153

1.0

Aug

86,909

5.8

915,286

1.0

Jul

83,299

6.2

906,644

0.7

Jun

81,961

3.4

900,334

0.4

May

76,938

4.6

896,603

1.3

Apr

70,900

5.5

884,966

1.5

Mar

64,404

4.3

871,888

-0.9

Feb

59,188

4.3

879,609

1.2

Jan

59,636

5.4

869,232

-1.5

Dec 2012

67,431

8.2

882,637

0.4

Nov

74,754

8.6

879,539

-0.5

Oct

82,353

10.9

883,853

0.9

Sep

80,890

7.3

876,091

0.9

Aug

82,183

6.6

868,246

0.4

Jul

78,457

8.8

864,687

-1.0

Jun

79,262

8.8

873,069

1.3

May

73,571

11.8

861,913

2.3

Apr

67,234

9.4

842,898

1.0

Mar

61,772

9.2

834,810

1.1

Feb

56,761

12.2

825,774

0.3

Jan

56,578

10.9

823,583

0.8

Dec 2011

62,319

3.4

817,198

0.9

SAAR: Seasonally Adjusted Annual Rate

Source: US Census Bureau http://www.census.gov/construction/c30/c30index.html

The sharp contraction of the value of construction in the US is revealed by Table VA-6. Construction spending in Jan 2015, not seasonally adjusted, reached $67.3 billion, which is higher by 1.2 percent than $66.5 billion in the same period in 2014. The depth of the contraction is shown by the decline of construction spending from $81.1 billion in Jan 2006 to $67.3 billion in the same period in 2015, or decline by minus 17.0 percent. The decline in inflation-adjusted terms is much higher. The all-items not seasonally adjusted CPI (consumer price index) increased from 198.3 in Jan 2006 to 233.707 in Jan 2015 (http://www.bls.gov/cpi/data.htm) or by 17.9 percent. The comparable decline from Jan 2005 to Jan 2015 is minus 5.8 percent. Construction spending in Jan 2015 increased by 12.4 percent relative to the same period in 2003. Construction spending is higher by 0.3 percent in Jan 2015 relative to the same period in 2009. Construction has been weaker than the economy as a whole.

Table VA-6, US, Value of Construction Put in Place in the United States, Not Seasonally Adjusted, $ Millions and ∆%

Jan 2015 $ MM

67,298

Jan 2014

66,486

∆% to 2015

1.2

Jan 2013

59,636

∆% to 2015

12.8

Jan 2012 $ MM

56,578

∆% to 2015

18.9

Jan 2011 $ MM

51,012

∆% to 2015

31.9

Jan 2010 $MM

55,674

∆% to 2015

20.9

Jan 2009

67,127

∆% to 2015

0.3

Jan 2006 $ MM

81,058

∆% to 2015

-17.0

Jan 2005 $ MM

71,474

∆% to 2015

-5.8

Jan 2003 $ MM

59,877

∆% to 2015

12.4

Source: US Census Bureau http://www.census.gov/construction/c30/c30index.html

Chart VA-5 of the US Census Bureau provides value of construction spending in the US not seasonally adjusted from 2002 to 2015. There are wide oscillations requiring seasonal adjustment to compare adjacent data. There was sharp decline during the global recession followed in recent periods by a stationary series that may be moving upward again with vacillation in the final segment.

clip_image006

Chart VA-5, Value of Construction Spending not Seasonally Adjusted, Millions of Dollars, 2002-2015

Source: US Census Bureau http://www.census.gov/construction/c30/c30index.html

Table VA-7 provides the value of construction in the US not seasonally adjusted in selected months from 2002 to 2015. Construction in Jan 2015 of $67.3 billion increased by 1.2 percent relative to $66.5 billion in Jan 2014 and increased by 31.9 percent relative to $51.0 billion in Jan 2010. Construction in Jan 2015 of $67.3 billion is lower by 17.0 percent relative to $81.1 billion in Jan 2005.

Table VA-7, US, Value of Construction Spending Not Seasonally Adjusted, Millions of Dollars

Year

Jan

Jul

Aug

Sep

Oct

Nov

Dec

2002

59,516

78,863

79,460

76,542

75,710

71,362

63,984

2003

59,877

82,971

85,191

83,841

83,133

77,915

71,050

2004

64,934

93,614

96,164

92,538

90,582

86,394

77,733

2005

71,474

103,158

106,706

103,269

102,339

97,549

88,172

2006

81,058

108,423

110,434

104,191

101,582

95,339

86,436

2007

79,406

107,090

110,430

105,150

103,847

94,822

84,218

2008

77,365

98,563

99,877

96,858

95,722

86,176

76,763

2009

67,127

83,528

84,510

81,344

80,071

72,013

64,178

2010

55,674

73,233

75,977

74,892

73,607

68,100

60,246

2011

51,012

72,112

77,106

75,388

74,246

68,845

62,319

2012

56,578

78,457

82,183

80,890

82,353

74,754

67,431

2013

59,636

83,299

86,909

86,101

87,163

80,373

73,893

2014

66,486

86,888

88,992

89,530

90,522

82,054

75,988

2015

67,298

NA

NA

NA

NA

NA

NA

Source: US Census Bureau http://www.census.gov/construction/c30/c30index.html

Chart VA-6 of the US Census Bureau shows SAARs of construction spending for the US since 1993. Construction spending surged in nearly vertical slope after the stimulus of 2003 combining near zero interest rates together with other housing subsidies and subsequent slow adjustment in 17 doses of increases by 25 basis points between Jun 2004 and Jun 2006. Construction spending collapsed after subprime mortgages defaulted with the fed funds rate increasing from 1.00 percent in Jun 2004 to 5.25 percent in Jun 2006. Subprime mortgages were programmed for refinancing in two years after increases in homeowner equity in the assumption that fed funds rates would remain low forever or increase in small increments (Gorton 2009EFM see http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html). Price declines of houses or even uncertainty prevented refinancing of subprime mortgages that defaulted, causing the financial crisis that eventually triggered the global recession. Chart VA-9 shows a trend of increase in the final segment but it is difficult to assess if it is sustainable.

clip_image008

Chart VA-6, US, Construction Expenditures SAAR 1993-2015

Source: US Census Bureau

http://www.census.gov/briefrm/esbr/www/esbr050.html

Construction spending at SAARs in the five months Aug-Dec is shown in Table VA-8 for the years between 2002 and 2015. There is a peak in 2005 to 2007 with subsequent collapse of SAARs and rebound in 2012-2015.

Table VA-8, US, Value of Construction Spending SAAR Millions of Dollars

Year

Jan

Sep

Oct

Nov

Dec

2002

858,654

832,134

839,690

844,697

855,921

2003

863,855

911,589

925,732

925,985

948,491

2004

938,826

1,012,290

1,015,562

1,023,210

1,037,684

2005

1,036,187

1,131,739

1,145,663

1,156,977

1,178,305

2006

1,183,861

1,151,104

1,139,292

1,137,488

1,153,491

2007

1,149,899

1,165,162

1,152,511

1,127,558

1,108,958

2008

1,106,498

1,056,892

1,051,176

1,031,004

994,216

2009

965,270

881,340

870,697

852,896

832,484

2010

818,468

800,329

802,013

799,636

779,919

2011

757,900

805,565

806,849

809,833

817,198

2012

823,583

876,091

883,853

879,539

882,637

2013

869,232

924,153

939,933

952,531

961,158

2014

954,642

966,432

980,422

974,301

982,023

2015

971,384

NA

NA

NA

NA

Source: US Census Bureau http://www.census.gov/construction/c30/c30index.html

Chart VA-7 of the US Census Bureau provides SAARs of value of construction from 2002 to 2015. There is clear acceleration after 2003 when fed funds rates were fixed at 1.0 percent from Jun 2003 until Jun 2004. Construction peaked in 2005-2006, stabilizing in 2007 at a lower level and then collapsed in a nearly vertical drop until 2011 with increases into 2012 and marginal drop in Jan 2013 followed by increase in Feb 2013 and decline in Mar 2013 followed by continuing increase in Apr-May 2013 and Aug-Nov 2013. The rate of growth slowed in 2014-2015.

clip_image009

Chart VA-7, US, Construction Expenditures SAAR 2002-2015

Source: US Census Bureau

http://www.census.gov/construction/c30/c30index.html

Chart VA-8 of the US Census Bureau provides monthly residential construction in the US not seasonally adjusted from 2002 to 2015. There was steep increase until 2006 followed by sharp contraction. The series stabilized at the bottom and increased in the final segment with subsequent stability.

clip_image010

Chart VA-8, US, Residential Construction, Not Seasonally Adjusted, Millions of Dollars, 2002-2015

Source: US Census Bureau

http://www.census.gov/construction/c30/c30index.html

Chart VA-5 of the US Census Bureau provides monthly nonresidential construction in the US not seasonally adjusted. There is similar acceleration until 2006 followed by milder contraction than for residential construction. The final segment appears stationary.

clip_image011

Chart VA-9, US, Nonresidential Construction, Not Seasonally Adjusted, Millions of Dollars, 2002-2015

http://www.census.gov/construction/c30/c30index.html

Annual available data for the value of construction put in place in the US between 1993 and 2014 are provided in Table VA-9. Data from 1993 to 2001 are available for public and private construction with breakdown in residential and nonresidential only for private construction. Data beginning in 2002 provide aggregate residential and nonresidential values. Total construction value put in place in the US increased 97.8 percent between 1993 and 2014 but most of the growth, 65.3 percent, was concentrated in 1993 to 2000 with increase of 19.6 percent between 2000 and 2014. Total value of construction increased 13.2 percent between 2002 and 2014 with value of nonresidential construction increasing 35.9 percent while value of residential construction fell 11.9 percent. Value of total construction fell 13.0 percent between 2005 and 2014, with value of residential construction declining 42.7 percent while value of nonresidential construction rose 24.6 percent. Value of total construction fell 17.7 percent between 2006 and 2014, with value of nonresidential construction increasing 10.7 percent while value of residential construction fell 42.9 percent. In 2002, nonresidential construction had share of 52.6 percent in total construction while the share of residential construction was 47.4 percent. In 2014, the share of nonresidential construction in total value rose to 63.1 percent while that of residential construction fell to 36.9 percent.

Table VA-9, Annual Value of Construction Put in Place 1993-2013, Millions of Dollars and ∆% 

 

Total

Private Nonresidential

Private Residential

1993

485,548

150,006

208,180

1994

531,892

160,438

241,033

1995

548,666

180,534

228,121

1996

599,693

195,523

257,495

1997

631,853

213,720

264,696

1998

688,515

237,394

296,343

1999

744,551

249,167

326,302

2000

802,756

275,293

346,138

2001

840,249

273,922

364,414

 

Total

Total Nonresidential

Total Residential

2002

847,874

445,914

401,960

2003

891,497

440,246

451,251

2004

991,356

452,948

538,408

2005

1,104,136

486,629

617,507

2006

1,167,222

547,408

619,814

2007

1,152,351

651,883

500,468

2008

1,068,436

710,690

357,746

2009

904,929

651,001

253,928

2010

806,040

556,928

249,112

2011

788,343

535,686

252,657

2012

861,245

574,399

286,847

2013

910,764

568,561

342,203

2014

960,200

606,105

354,095

∆% 1993-2014

97.8

   

∆% 1993-2000

65.3

   

∆% 2000-2014

19.6

   

∆% 2002-2014

13.2

35.9

-11.9

∆% 2005-2014

-13.0

24.6

-42.7

∆% 2006-2014

-17.7

10.7

-42.9

Source: US Census Bureau http://www.census.gov/construction/c30/c30index.html

VB Japan. The GDP of Japan grew at 1.0 percent per year on average from 1991 to 2002, with the GDP implicit deflator falling at 0.8 percent per year on average. The average growth rate of Japan’s GDP was 4 percent per year on average from the middle of the 1970s to 1992 (Ito 2004). Low growth in Japan in the 1990s is commonly labeled as “the lost decade” (see Pelaez and Pelaez, The Global Recession Risk (2007), 81-115). Table VB-GDP provides yearly growth rates of Japan’s GDP from 1995 to 2014. Growth weakened from 1.9 per cent in 1995 and 2.6 percent in 1996 to contractions of 2.0 percent in 1998 and 0.2 percent in 1999. Growth rates were below 2 percent with exception of 2.3 percent in 2000, 2.4 percent in 2004 and 2.2 percent in 2007. Japan’s GDP contracted sharply by 1.0 percent in 2008 and 5.5 percent in 2009. As in most advanced economies, growth was robust at 4.7 percent in 2010 but mediocre at minus 0.5 percent in 2011 because of the tsunami and 1.8 percent in 2012. Japan’s GDP grew 1.6 percent in 2013 and stagnated in 2014. There is classic research on analyzing deviations of output from trend (see for example Schumpeter 1939, Hicks 1950, Lucas 1975, Sargent and Sims 1977). Japan’s real GDP in calendar year 2014 is 0.7 percent higher than in calendar year 2007 (http://www.esri.cao.go.jp/index-e.html).

Table VB-GDP, Japan, Yearly Percentage Change of GDP  ∆%

Calendar Year

∆%

1995

1.9

1996

2.6

1997

1.6

1998

-2.0

1999

-0.2

2000

2.3

2001

0.4

2002

0.3

2003

1.7

2004

2.4

2005

1.3

2006

1.7

2007

2.2

2008

-1.0

2009

-5.5

2010

4.7

2011

-0.5

2012

1.8

2013

1.6

2014

0.0

Source: Source: Japan Economic and Social Research Institute, Cabinet Office

http://www.esri.cao.go.jp/index-e.html

http://www.esri.cao.go.jp/en/sna/sokuhou/sokuhou_top.html

Table VB-BOJF provides the forecasts of economic activity and inflation in Japan by the majority of members of the Policy Board of the Bank of Japan, which is part of their Outlook for Economic Activity and Prices (https://www.boj.or.jp/en/announcements/release_2015/k150121a.pdf) with changes on Jul 21, 2015 (https://www.boj.or.jp/en/announcements/release_2015/k150121a.pdf). For fiscal 2014, the forecast is of growth of GDP between minus 0.7 to minus 0.3 percent, with the all items CPI less fresh food 2.9 to 3.3 percent (https://www.boj.or.jp/en/announcements/release_2015/k150121a.pdf). The critical difference is forecast of the CPI excluding fresh food of 0.3 to 1.4 percent in 2015 and 0.9 to 2.3 percent in 2016 (https://www.boj.or.jp/en/announcements/release_2015/k150121a.pdf). Consumer price inflation in Japan excluding fresh food was minus 0.2 percent in Dec 2014 and 2.5 percent in 12 months (http://www.stat.go.jp/english/data/cpi/1581.htm), significantly because of the increase of the tax on value added of consumption in Apr 2014. The new monetary policy of the Bank of Japan aims to increase inflation to 2 percent. These forecasts are biannual in Apr and Oct. The Cabinet Office, Ministry of Finance and Bank of Japan released on Jan 22, 2013, a “Joint Statement of the Government and the Bank of Japan on Overcoming Deflation and Achieving Sustainable Economic Growth” (http://www.boj.or.jp/en/announcements/release_2013/k130122c.pdf) with the important change of increasing the inflation target of monetary policy from 1 percent to 2 percent:

“The Bank of Japan conducts monetary policy based on the principle that the policy shall be aimed at achieving price stability, thereby contributing to the sound development of the national economy, and is responsible for maintaining financial system stability. The Bank aims to achieve price stability on a sustainable basis, given that there are various factors that affect prices in the short run.

The Bank recognizes that the inflation rate consistent with price stability on a sustainable basis will rise as efforts by a wide range of entities toward strengthening competitiveness and growth potential of Japan's economy make progress. Based on this recognition, the Bank sets the price stability target at 2 percent in terms of the year-on-year rate of change in the consumer price index.

Under the price stability target specified above, the Bank will pursue monetary easing and aim to achieve this target at the earliest possible time. Taking into consideration that it will take considerable time before the effects of monetary policy permeate the economy, the Bank will ascertain whether there is any significant risk to the sustainability of economic growth, including from the accumulation of financial imbalances.”

The Bank of Japan also provided explicit analysis of its view on price stability in a “Background note regarding the Bank’s thinking on price stability” (http://www.boj.or.jp/en/announcements/release_2013/data/rel130123a1.pdf http://www.boj.or.jp/en/announcements/release_2013/rel130123a.htm/). The Bank of Japan also amended “Principal terms and conditions for the Asset Purchase Program” (http://www.boj.or.jp/en/announcements/release_2013/rel130122a.pdf): “Asset purchases and loan provision shall be conducted up to the maximum outstanding amounts by the end of 2013. From January 2014, the Bank shall purchase financial assets and provide loans every month, the amount of which shall be determined pursuant to the relevant rules of the Bank.”

Financial markets in Japan and worldwide were shocked by new bold measures of “quantitative and qualitative monetary easing” by the Bank of Japan (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf). The objective of policy is to “achieve the price stability target of 2 percent in terms of the year-on-year rate of change in the consumer price index (CPI) at the earliest possible time, with a time horizon of about two years” (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf). The main elements of the new policy are as follows:

  1. Monetary Base Control. Most central banks in the world pursue interest rates instead of monetary aggregates, injecting bank reserves to lower interest rates to desired levels. The Bank of Japan (BOJ) has shifted back to monetary aggregates, conducting money market operations with the objective of increasing base money, or monetary liabilities of the government, at the annual rate of 60 to 70 trillion yen. The BOJ estimates base money outstanding at “138 trillion yen at end-2012) and plans to increase it to “200 trillion yen at end-2012 and 270 trillion yen at end 2014” (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf).
  2. Maturity Extension of Purchases of Japanese Government Bonds. Purchases of bonds will be extended even up to bonds with maturity of 40 years with the guideline of extending the average maturity of BOJ bond purchases from three to seven years. The BOJ estimates the current average maturity of Japanese government bonds (JGB) at around seven years. The BOJ plans to purchase about 7.5 trillion yen per month (http://www.boj.or.jp/en/announcements/release_2013/rel130404d.pdf). Takashi Nakamichi, Tatsuo Ito and Phred Dvorak, wiring on “Bank of Japan mounts bid for revival,” on Apr 4, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323646604578401633067110420.html), find that the limit of maturities of three years on purchases of JGBs was designed to avoid views that the BOJ would finance uncontrolled government deficits.
  3. Seigniorage. The BOJ is pursuing coordination with the government that will take measures to establish “sustainable fiscal structure with a view to ensuring the credibility of fiscal management” (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf).
  4. Diversification of Asset Purchases. The BOJ will engage in transactions of exchange traded funds (ETF) and real estate investment trusts (REITS) and not solely on purchases of JGBs. Purchases of ETFs will be at an annual rate of increase of one trillion yen and purchases of REITS at 30 billion yen.
  5. Bank Lending Facility and Growth Supporting Funding Facility. At the meeting on Feb 18, the Bank of Japan doubled the scale of these lending facilities to prevent their expiration in the near future (http://www.boj.or.jp/en/announcements/release_2014/k140218a.pdf).

Table VB-BOJF, Bank of Japan, Forecasts of the Majority of Members of the Policy Board, % Year on Year

Fiscal Year
Date of Forecast

Real GDP

CPI All Items Less Fresh Food

Excluding Effects of Consumption Tax Hikes

2013

     

Apr 2014

+2.2 to +2.3
[+2.2]

+0.8

 

Jan 2014

+2.5 to +2.9

[+2.7]

+0.7 to +0.9

[+0.7]

 

Oct 2013

+2.6 to +3.0

[+2.7]

+0.6 to +1.0

[+0.7]

 

Jul 2013

+2.5 to +3.0

[+2.8]

+0.5 to +0.8

[+0.6]

 

2014

     

Jan 2015

-0.6 to -0.4

[-0.5]

+2.9 to +3.2

[+2.9]

+0.9 to +1.2

[+0.9]

Oct 2014

+0.2 to +0.7

[+0.5]

+3.1 to +3.4

[+3.2]

+1.1 to +1.4

[+1.2]

Jul 2014

+0.6 to +1.3

[+1.0]

+3.2 to +3.5

[+3.3]

+1.2 to +1.5

[+1.3]

Apr 2014

+0.8 to +1.3
[+1.1]

+3.0 to +3.5
[+3.3]

+1.0 to +1.5
[+1.3]

Jan 2014

+0.9 to 1.5

[+1.4]

+2.9 to +3.6

[+3.3]

+0.9 to +1.6

[+1.3]

Oct 2013

+0.9 to +1.5

[+1.5]

+2.8 to +3.6

[+3.3]

+0.8 to +1.6

[+1.3]

Jul 2013

+0.8 to +1.5

[+1.3]

+2.7 to +3.6

[+3.3]

+0.7 to +1.6

[+1.3]

2015

     

Jan 2015

+1.8 to +2.3

[+2.1]

+0.4 to +1.3

[+1.0]

+0.4 to +1.3

[+1.0]

Oct 2014

+1.2 to +1.7

[+1.5]

+1.8 to 2.6

[+2.4]

+1.1 to +1.9

[+1.7]

Jul 2014

+1.2 to +1.6

[+1.5]

+1.9 to +2.8

[+2.6]

+1.2 to +2.1

[+1.9]

Apr 2014

+1.2 to +1.5
[+1.5]

+1.9 to +2.8
[+2.6]

+1.2 to +2.1
[+1.9]

Jan 2014

+1.2 to +1.8

[+1.5]

+1.7 to +2.9

[+2.6]

+1.0 to +2.2

[+1.9]

Oct 2013

+1.3 to +1.8

[+1.5]

+1.6 to +2.9

[+2.6]

+0.9 to +2.2

[+1.9]

Jul 2013

+1.3 to +1.9 [+1.5]

+1.6 to +2.9 [+2.6]

+0.9 to +2.2 [+1.9]

2016

     

Jan 2015

+1.5 to +1.7

[+1.6]

+1.5 to +2.3

[+2.2]

+1.5 to +2.3

[+2.2]

Oct 2014

+1.0 to +1.4

[+1.2]

+1.9 to 3.0

[+2.8]

+1.2 to 2.3

[+2.1]

Jul 2014

+1.0 to +1.5

[+1.3]

+2.0 to +3.0

[+2.8]

+1.3 to +2.3

[+2.1]

Apr 2014

+1.0 to +1.5
[+1.3]

+2.0 to +3.0
[+2.8]

+1.3 to +2.3
[+2.1]

Figures in brackets are the median of forecasts of Policy Board members

Source: Policy Board, Bank of Japan

https://www.boj.or.jp/en/announcements/release_2015/k150121a.pdf

https://www.boj.or.jp/en/announcements/release_2014/k140715a.pdf

The Markit/JMMA Flash Japan Manufacturing PMI Index™ with the Flash Japan Manufacturing PMI™ decreased from 52.2 in Jan to 51.5 in Feb and the Flash Japan Manufacturing Output Index™ did not change from 52.7 in Jan to 52.7 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/ca6a231ce52548dfbbc034868f886d7a). New export orders increased at a faster pace. Amy Brownbill, Economist at Markit, finds improving Japan’s manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/ca6a231ce52548dfbbc034868f886d7a). The Markit Composite Output PMI Index stabilized from 51.7 in Jan to 50.0 in Feb, indicating neutral business activity (http://www.markiteconomics.com/Survey/PressRelease.mvc/c6f5af0722b34d22816279e47f90c51b). The Markit Business Activity Index of Services decreased to 48.5 in Feb from 51.3 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/c6f5af0722b34d22816279e47f90c51b). Amy Brownbill, Ecoomist at Markit and author of the report, finds positive business expecations (http://www.markiteconomics.com/Survey/PressRelease.mvc/c6f5af0722b34d22816279e47f90c51b). The Markit/JMMA Purchasing Managers’ Index (PMI™), seasonally adjusted, decreased marginally from 52.2 in Jan to 51.6 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/83eeef8035ec47408f22d0c32d17f783). New orders, output and foreign orders increased. Amy Brownbill, Economist at Markit, finds manufacturing improvement with prices of inputs driven by devaluation (http://www.markiteconomics.com/Survey/PressRelease.mvc/618efac17046436b879e5b824f41cfbf).Table JPY provides the country data table for Japan.

Table JPY, Japan, Economic Indicators

Historical GDP and CPI

1981-2010 Real GDP Growth and CPI Inflation 1981-2010
Blog 8/9/11 Table 26

Corporate Goods Prices

Jan ∆% -1.3
12 months ∆% 0.3
Blog 2/15/15

Consumer Price Index

Jan NSA ∆% -0.2; Jan 12 months NSA ∆% 2.4
Blog 3/1/15

Real GDP Growth

IVQ2014 ∆%: 0.6 on IIIQ2014;  IVQ2014 SAAR 2.2;
∆% from quarter a year earlier: -0.5 %
Blog 6/16/13 8/18/13 9/15/13 11/17/13 12/15/13 2/23/14 3/16/14 5/18/14 6/15/14 8/17/14 9/14/14 11/23/14 12/14/14 2/22/15

Employment Report

Jan Unemployed 2.31 million

Change in unemployed since last year: minus 70 thousand
Unemployment rate: 3.6 %
Blog 3/1/15

All Industry Indices

Dec month SA ∆% -0.3
12-month NSA ∆% -0.9

Blog 2/22/15

Industrial Production

Jan SA month ∆%: 4.0
12-month NSA ∆% -2.6
Blog 3/1/15

Machine Orders

Total Dec ∆% 8.6

Private ∆%: 17.5 Dec ∆% Excluding Volatile Orders 8.3
Blog 2/15/15

Tertiary Index

Dec month SA ∆% -0.3
Dec 12 months NSA ∆% minus -0.8
Blog 2/15/15

Wholesale and Retail Sales

Jan 12 months:
Total ∆%: -2.9
Wholesale ∆%: -3.4
Retail ∆%: -2.0
Blog 3/1/15

Family Income and Expenditure Survey

Jan 12-month ∆% total nominal consumption -2.4, real -5.1 Blog 3/1/15

Trade Balance

Exports Jan 12 months ∆%: 17.0 Imports Jan 12 months ∆% -9.0 Blog 2/22/15

Links to blog comments in Table JPY:

3/1/15 http://cmpassocregulationblog.blogspot.com/2015/03/irrational-exuberance-mediocre-cyclical.html

2/22/15 http://cmpassocregulationblog.blogspot.com/2015/02/world-financial-turbulence-squeeze-of.html

2/15/15 http://cmpassocregulationblog.blogspot.com/2015/02/g20-monetary-policy-recovery-without.html

12/14/14 http://cmpassocregulationblog.blogspot.com/2014/12/global-financial-and-economic-risk.html

11/23/14 http://cmpassocregulationblog.blogspot.com/2014/11/squeeze-of-economic-activity-by-carry.htm

9/14/14 http://cmpassocregulationblog.blogspot.com/2014/09/geopolitics-monetary-policy-and.html

8/17/2014 http://cmpassocregulationblog.blogspot.com/2014/08/weakening-world-economic-growth.html

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

5/18/14 http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html

3/16/2014 http://cmpassocregulationblog.blogspot.com/2014/03/global-financial-risks-recovery-without.html

2/23/14 http://cmpassocregulationblog.blogspot.com/2014/02/squeeze-of-economic-activity-by-carry.html

12/15/13 http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html

11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html

9/15/13 http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html

8/18/13 http://cmpassocregulationblog.blogspot.com/2013/08/duration-dumping-and-peaking-valuations.html

VC China. China estimates an index of nonmanufacturing purchasing managers based on a sample of 1200 nonmanufacturing enterprises across the country (http://www.stats.gov.cn/english/pressrelease/t20121009_402841094.htm). Table CIPMNM provides this index and components. The total index increased from 55.7 in Jan 2011 to 58.0 in Mar 2012, decreasing to 53.9 in Aug 2013. The index decreased from 56.0 in Nov 2013 to 54.6 in Dec 2013, easing to 53.4 in Jan 2014. The index moved to 53.9 in Feb 2015. The index of new orders increased from 52.2 in Jan 2012 to 54.3 in Dec 2012 but fell to 50.1 in May 2013, barely above the neutral frontier of 50.0. The index of new orders stabilized at 51.0 in Nov-Dec 2013, easing to 50.9 in Jan 2014. The index of new orders moved to 51.2 in Feb 2015.

Table CIPMNM, China, Nonmanufacturing Index of Purchasing Managers, %, Seasonally Adjusted

 

Total Index

New Orders

Interm.
Input Prices

Subs Prices

Exp

Feb 2015

53.9

51.2

52.5

51.2

58.7

Jan

53.7

50.2

47.6

46.9

59.6

Dec 2014

54.1

50.5

50.1

47.3

59.5

Nov

53.9

50.1

50.6

47.7

59.7

Oct

53.8

51.0

52.0

48.8

59.9

Sep

54.0

49.5

49.8

47.3

60.9

Aug

54.4

50.0

52.2

48.3

61.2

Jul

54.2

50.7

53.4

49.5

61.5

Jun

55.0

50.7

56.0

50.8

60.4

May

55.5

52.7

54.5

49.0

60.7

Apr

54.8

50.8

52.4

49.4

61.5

Mar

54.5

50.8

52.8

49.5

61.5

Feb

55.0

51.4

52.1

49.0

59.9

Jan

53.4

50.9

54.5

50.1

58.1

Dec 2013

54.6

51.0

56.9

52.0

58.7

Nov

56.0

51.0

54.8

49.5

61.3

Oct

56.3

51.6

56.1

51.4

60.5

Sep

55.4

53.4

56.7

50.6

60.1

Aug

53.9

50.9

57.1

51.2

62.9

Jul

54.1

50.3

58.2

52.4

63.9

Jun

53.9

50.3

55.0

50.6

61.8

May

54.3

50.1

54.4

50.7

62.9

Apr

54.5

50.9

51.1

47.6

62.5

Mar

55.6

52.0

55.3

50.0

62.4

Feb

54.5

51.8

56.2

51.1

62.7

Jan

56.2

53.7

58.2

50.9

61.4

Dec 2012

56.1

54.3

53.8

50.0

64.6

Nov

55.6

53.2

52.5

48.4

64.6

Oct

55.5

51.6

58.1

50.5

63.4

Sep

53.7

51.8

57.5

51.3

60.9

Aug

56.3

52.7

57.6

51.2

63.2

Jul

55.6

53.2

49.7

48.7

63.9

Jun

56.7

53.7

52.1

48.6

65.5

May

55.2

52.5

53.6

48.5

65.4

Apr

56.1

52.7

57.9

50.3

66.1

Mar

58.0

53.5

60.2

52.0

66.6

Feb

57.3

52.7

59.0

51.2

63.8

Jan

55.7

52.2

58.2

51.1

65.3

Notes: Interm.: Intermediate; Subs: Subscription; Exp: Business Expectations

Source: National Bureau of Statistics of China

http://www.stats.gov.cn/english/

Chart CIPMNM provides China’s nonmanufacturing purchasing managers’ index. The index fell from 56.0 in Oct 2013 to 53.9 in Feb 2015.

Ch-CIPMNM-Feb2008W020150302579325153761_r75

Chart CIPMNM, China, Nonmanufacturing Index of Purchasing Managers, Seasonally Adjusted

Source: National Bureau of Statistics of China

http://www.stats.gov.cn/english

Table CIPMMFG provides the index of purchasing managers of manufacturing seasonally adjusted of the National Bureau of Statistics of China. The general index (IPM) rose from 50.5 in Jan 2012 to 53.3 in Apr 2012, falling to 49.2 in Aug 2012, rebounding to 50.6 in Dec 2012. The index fell to 50.1 in Jun 2013, barely above the neutral frontier at 50.0, recovering to 51.4 in Nov 2013 but falling to 51.0 in Dec 2013. The index fell to 50.5 in Jan 2014, 50.1 in Dec 2014 and 49.9 in Feb 2015. The index of new orders fell from 54.5 in Apr 2012 to 51.2 in Dec 2012. The index of new orders fell from 52.3 in Nov 2013 to 52.0 in Dec 2013. The index fell to 50.9 in Jan 2014 and moved to 50.4 in Dec 2014. The index moved to 50.4 in Feb 2015.

Table CIPMMFG, China, Manufacturing Index of Purchasing Managers, %, Seasonally Adjusted

 

IPM

PI

NOI

INV

EMP

SDEL

2015

           

Feb

49.9

51.4

50.4

48.2

47.8

49.9

Jan

49.8

51.7

50.2

47.3

47.9

50.2

2014

           

Dec

50.1

52.2

50.4

47.5

48.1

49.9

Nov

50.3

52.5

50.9

47.7

48.2

50.3

Oct

50.8

53.1

51.6

48.4

48.4

50.1

Sep

51.1

53.6

52.2

48.8

48.2

50.1

Aug

51.1

53.2

52.5

48.6

48.2

50.0

Jul

51.7

54.2

53.6

49.0

48.3

50.2

Jun

51.0

53.0

52.8

48.0

48.6

50.5

May

50.8

52.8

52.3

48.0

48.2

50.3

Apr

50.4

52.5

51.2

48.1

48.3

50.1

Mar

50.3

52.7

50.6

47.8

48.3

49.8

Feb

50.2

52.6

50.5

47.4

48.0

49.9

Jan

50.5

53.0

50.9

47.8

48.2

49.8

Dec 2013

51.0

53.9

52.0

47.6

48.7

50.5

Nov

51.4

54.5

52.3

47.8

49.6

50.6

Oct

51.4

54.4

52.5

48.6

49.2

50.8

Sep

51.1

52.9

52.8

48.5

49.1

50.8

Aug

51.0

52.6

52.4

48.0

49.3

50.4

Jul

50.3

52.4

50.6

47.6

49.1

50.1

Jun

50.1

52.0

50.4

47.4

48.7

50.3

May

50.8

53.3

51.8

47.6

48.8

50.8

Apr

50.6

52.6

51.7

47.5

49.0

50.8

Mar

50.9

52.7

52.3

47.5

49.8

51.1

Feb

50.1

51.2

50.1

49.5

47.6

48.3

Jan

50.4

51.3

51.6

50.1

47.8

50.0

Dec 2012

50.6

52.0

51.2

47.3

49.0

48.8

Nov

50.6

52.5

51.2

47.9

48.7

49.9

Oct

50.2

52.1

50.4

47.3

49.2

50.1

Sep

49.8

51.3

49.8

47.0

48.9

49.5

Aug

49.2

50.9

48.7

45.1

49.1

50.0

Jul

50.1

51.8

49.0

48.5

49.5

49.0

Jun

50.2

52.0

49.2

48.2

49.7

49.1

May

50.4

52.9

49.8

45.1

50.5

49.0

Apr

53.3

57.2

54.5

48.5

51.0

49.6

Mar

53.1

55.2

55.1

49.5

51.0

48.9

Feb

51.0

53.8

51.0

48.8

49.5

50.3

Jan

50.5

53.6

50.4

49.7

47.1

49.7

IPM: Index of Purchasing Managers; PI: Production Index; NOI: New Orders Index; EMP: Employed Person Index; SDEL: Supplier Delivery Time Index

Source: National Bureau of Statistics of China

http://www.stats.gov.cn/english/

China estimates the manufacturing index of purchasing managers on the basis of a sample of 820 enterprises (http://www.stats.gov.cn/english/pressrelease/t20121009_402841094.htm). Chart CIPMMFG provides the manufacturing index of purchasing managers. The index fell to 50.1 in Jun 2013. The index decreased from 51.4 in Nov 2013 to 51.0 in Dec 2013. The index moved to 49.9 in Feb 2015.

Ch-CIPMMFGFeb2015W020150302582159056246_r75

Chart CIPMMFG, China, Manufacturing Index of Purchasing Managers, Seasonally Adjusted

Source: National Bureau of Statistics of China

http://www.stats.gov.cn/english/

Table VD-1, Euro Area, Unemployment Rate and Number of Unemployed, % and Millions, SA 

 

Unemployment Rate %

Number Unemployed
Millions

Jan 2015

11.2

18.059

Dec 2014

11.3

18.199

Nov

11.4

18.408

Oct

11.5

18.419

Sep

11.5

18.455

Aug

11.5

18.468

Jul

11.6

18.603

Jun

11.5

18.526

May

11.6

18.625

Apr

11.6

18.631

Mar

11.7

18.764

Feb

11.8

18.814

Jan

11.8

18.954

Dec 2013

11.9

18.980

Nov

11.9

19.075

Oct

11.9

19.128

Sep

12.0

19.246

Aug

12.0

19.228

Jul

12.0

19.220

Jun

12.0

19.283

May

12.1

19.305

Apr

12.0

19.296

Mar

12.0

19.243

Feb

12.0

19.255

Jan

12.0

19.208

Dec 2012

11.9

18.986

Nov

11.8

18.885

Oct

11.7

18.784

Sep

11.5

18.510

Aug

11.5

18.369

Jul

11.4

18.339

Jun

11.4

18.267

May

11.3

18.049

Apr

11.2

17.876

Mar

11.0

17.608

Feb

10.9

17.334

Jan

10.7

17.114

Dec 2011

10.7

17.058

Nov

10.6

16.926

Oct

10.4

16.613

Sep

10.4

16.482

Aug

10.2

16.250

Jul 

10.1

16.089

Jun

10.0

15.875

May

10.0

15.828

Apr

9.9

15.688

Mar

10.0

15.773

Feb

10.0

15.800

Jan

10.1

15.912

Dec 2010

10.1

15.999

Source: EUROSTAT

http://ec.europa.eu/eurostat

Cumulative growth of China’s GDP in IVQ2014 relative to the same period in 2013 was 7.4 percent, as shown in Table VC-GDP. Secondary industry accounts for 42.6 percent of cumulative GDP in IVQ2014. In cumulative IVQ2014, industry accounts for 35.8 percent of GDP and construction for 7.0 percent. Tertiary industry accounts for 48.2 percent of cumulative GDP in IVQ2014 and primary industry for 9.2 percent. China’s growth strategy consisted of rapid increases in productivity in industry to absorb population from agriculture where incomes are lower (Pelaez and Pelaez, The Global Recession Risk (2007), 56-80). The strategy is shifting to lower growth rates with improvement in living standards. The bottom block of Table VC-GDP provides quarter-on-quarter growth rates of GDP and their annual equivalent. China’s GDP growth decelerated significantly from annual equivalent 10.4 percent in IIQ2011 to 7.4 percent in IVQ2011 and 5.7 percent in IQ2012, rebounding to 8.7 percent in IIQ2012, 8.2 percent in IIIQ2012 and 7.8 percent in IVQ2012. Annual equivalent growth in IQ2013 fell to 7.0 percent and to 7.4 percent in IIQ2013, rebounding to 9.5 percent in IIIQ2013. Annual equivalent growth was 7.4 percent in IVQ2013, declining to 6.6 percent in IQ2014 and increasing to 7.8 percent in IIQ2014. Annual equivalent growth slowed to 7.8 percent in IIIQ2014 and 6.1 percent in IVQ2014.

Table VC-GDP, China, Quarterly Growth of GDP, Current CNY 100 Million and Inflation Adjusted ∆%

Cumulative GDP IVQ2014

Value Current CNY Billion

2014 Year-on-Year Constant Prices ∆%

GDP

63,646.3

7.4

Primary Industry

5833.2

4.1

  Farming

6015.1

4.2

Secondary Industry

27,139.2

7.3

  Industry

22,799.1

7.0

  Construction

4472.5

8.9

Tertiary Industry

30,673.9

8.1

  Transport, Storage, Post

2875.0

7.0

  Wholesale, Retail Trades

6221.6

9.5

  Accommodation and Restaurants

1119.9

6.2

  Finance

4695.4

10.2

  Real Estate

3816.7

2.3

  Other

11631.1

8.8

Growth in Quarter Relative to Prior Quarter

∆% on Prior Quarter

∆% Annual Equivalent

2014

   

IVQ2014

1.5

6.1

IIIQ2014

1.9

7.8

IIQ2014

1.9

7.8

IQ2014

1.6

6.6

2013

   

IVQ2013

1.8

7.4

IIIQ2013

2.3

9.5

IIQ2013

1.8

7.4

IQ2013

1.7

7.0

2012

   

IVQ2012

1.9

7.8

IIIQ2012

2.0

8.2

IIQ2012

2.1

8.7

IQ2012

1.4

5.7

2011

   

IVQ2011

1.8

7.4

IIIQ2011

2.2

9.1

IIQ2011

2.5

10.4

IQ2011

2.3

9.5

Source: National Bureau of Statistics of China http://www.stats.gov.cn/english/

Growth of China’s GDP in IVQ2014 relative to the same period in 2013 was 7.3 percent, as shown in Table VC-GDPA. Secondary industry accounts for 42.6 percent of cumulative GDP in IVQ2014. In cumulative IVQ2014, industry accounts for 35.8 percent of GDP and construction for 7.0 percent. Tertiary industry accounts for 48.2 percent of cumulative GDP in IVQ2014 and primary industry for 9.2 percent. China’s growth strategy consisted of rapid increases in productivity in industry to absorb population from agriculture where incomes are lower (Pelaez and Pelaez, The Global Recession Risk (2007), 56-80). The strategy is changing to lower growth rates while improving living standards. GDP growth decelerated from 12.1 percent in IQ2010 and 11.2 percent in IIQ2010 to 7.8 percent in IQ2013, 7.5 percent in IIQ2013 and 7.9 percent in IIIQ2013. GDP grew 7.6 percent in IVQ2013 relative to a year earlier and 1.8 percent relative to IIIQ2013, which is equivalent to 7.4 percent per year. GDP grew 7.4 percent in IQ2014 relative to a year earlier and 1.6 percent in IQ2014 that is equivalent to 6.6 percent per year. GP grew 7.5 percent in IIQ2014 relative to a year earlier and 1.9 percent relative to the prior quarter, which is equivalent 7.8 percent. In IIIQ2014, GDP grew 7.3 percent relative to a year earlier and 1.9 percent relative to the prior quarter, which is 7.8 percent in annual equivalent. GDP grew 1.5 percent in IVQ2014, which is 6.1 percent in annual equivalent and 7.3 percent relative to a year earlier.

Table VC-GDPA, China, Growth Rate of GDP, ∆% Relative to a Year Earlier and ∆% Relative to Prior Quarter

 

IQ 2013

IIQ 2013

IIIQ 2013

IVQ 2013

IQ

2014

IIQ 2014

IIIQ 2014

IVQ

2014

GDP

7.8

7.5

7.9

7.6

7.4

7.5

7.3

7.3

Primary Industry

3.4

3.0

3.4

4.0

3.5

3.9

4.2

4.1

Secondary Industry

7.8

7.6

7.8

7.8

7.3

7.4

7.4

7.3

Tertiary Industry

8.3

8.3

8.4

8.3

7.1

8.0

7.9

8.1

GDP ∆% Relative to a Prior Quarter

1.7

1.8

2.3

1.8

1.6

1.9

1.9

1.5

 

IQ 2011

IIQ 2011

IIIQ 2011

IVQ 2011

IQ 

2012

IIQ 2012

IIIQ 2012

IVQ 2012

GDP

9.7

9.5

9.1

8.9

8.1

7.6

7.4

7.9

Primary Industry

3.5

3.2

3.8

4.5

3.8

4.3

4.2

4.5

Secondary Industry

11.1

11.0

10.8

10.6

9.1

8.3

8.1

8.1

Tertiary Industry

9.1

9.2

9.0

8.9

7.5

7.7

7.9

8.1

GDP ∆% Relative to a Prior Quarter

2.3

2.5

2.2

1.8

1.4

2.1

2.0

1.9

 

IQ 2010

IIQ 2010

IIIQ 2010

IVQ 2010

       

GDP

12.1

11.2

10.7

12.1

       

Primary Industry

3.8

3.6

4.0

3.8

       

Secondary Industry

14.5

13.3

12.6

14.5

       

Tertiary Industry

10.5

9.9

9.7

10.5

       

Source: National Bureau of Statistics of China http://www.stats.gov.cn/english/

Chart VC-GDP of the National Bureau of Statistics of China provides annual value and growth rates of GDP. China’s GDP growth in 2013 is still high at 7.7 percent but at the lowest rhythm in five years.

ChVC-GDPW020140224376367229279

Chart VC-GDP, China, Gross Domestic Product, Million Yuan and ∆%, 2009-2013

Source: National Bureau of Statistics of China http://www.stats.gov.cn/english/

Chart VC-FXR provides China’s foreign exchange reserves. FX reserves grew from $2399.2 billion in 2009 to $3821.3 billion in 2013 driven by high growth of China’s trade surplus.

ChVC-FXRW020140224376367389226

Chart VC-FXR, China, Foreign Exchange Reserves, 2009-2013

Source: National Bureau of Statistics of China http://www.stats.gov.cn/english

Chart VC-Trade provides China’s imports and exports. Exports exceeded imports with resulting large trade balance surpluses that increased foreign exchange reserves.

ChVC-TradeW020140224376367380700

Chart VC-Trade, China, Imports and Exports of Goods, 2009-2013, $100 Million US Dollars

Source: National Bureau of Statistics of China http://www.stats.gov.cn/english

The HSBC Flash China Manufacturing Purchasing Managers’ Index (PMI) compiled by Markit (http://www.markiteconomics.com/Survey/PressRelease.mvc/a7d8d6168eec42029dd64eb08292a5ee) is improving. The overall Flash HSBC China Manufacturing PMI increased from 49.7 in Jan to 50.1 in Feb, while the Flash HSBC China Manufacturing Output Index increased from 50.3 in Jan to 50.8 in Feb, indicating moderate growth. Exports orders indicate contraction. Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds need for monetary/fiscal stimulus supporting growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/a7d8d6168eec42029dd64eb08292a5ee). The HSBC China Services PMI, compiled by Markit, shows the HSBC Composite Output, combining manufacturing and services, increasing from 51.0 in Jan to 51.8 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/bec13309543745349f9bb6a462d26c14). Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds that increase of new orders suggests future growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/bec13309543745349f9bb6a462d26c14). The HSBC China Services Business Activity index increased from 51.8 in Jan to 52.0 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/bec13309543745349f9bb6a462d26c14). Hongbin Qu, Chief Economist, China & Co-Head of Asian Economic Research at HSBC, finds that the services PMI shows sustained activity at modest pace (http://www.markiteconomics.com/Survey/PressRelease.mvc/bec13309543745349f9bb6a462d26c14). The HSBC Purchasing Managers’ Index (PMI), compiled by Markit, increased to 50.7 in Feb from 49.7 in Jan, indicating moderate improvement in manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/bc53a64bf226406d94fcc16284db2bbe). New export orders declined modestly. Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds improvement in manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/bc53a64bf226406d94fcc16284db2bbe). Table CNY provides the country data table for China.

Table CNY, China, Economic Indicators

Price Indexes for Industry

Jan 12-month ∆%: minus 4.3

Jan month ∆%: -1.1
Blog 2/15/15

Consumer Price Index

Jan month ∆%: 0.3 Jan 12 months ∆%: 0.8
Blog 2/15/15

Value Added of Industry

Dec month ∆%: 0.75

Jan-Dec 2014/Jan-Dec 2013 ∆%: 8.3
Blog 1/25/15

GDP Growth Rate

Year IVQ2014 ∆%: 7.3

First Four Quarters 2014 ∆%: 7.4
Quarter IIIQ2014 AE ∆%: 6.1
Blog 1/25/15

Investment in Fixed Assets

Total Jan-Dec 2014 ∆%: 15.7

Real estate development: 10.5
Blog 1/25/15

Retail Sales

Dec month ∆%: 1.01
Dec 12 month ∆%: 11.9

Jan-Dec ∆%: 12.0
Blog 1/25/15

Trade Balance

Jan balance $60.0 billion
Exports 12M ∆% -3.3
Imports 12M ∆% -19.9

Cumulative Jan 2015: $60.0 billion
Blog 2/15/15

Links to blog comments in Table CNY:

2/15/15 http://cmpassocregulationblog.blogspot.com/2015/02/g20-monetary-policy-recovery-without.html

1/25/15 http://cmpassocregulationblog.blogspot.com/2015/01/competitive-currency-conflicts-world.html

VD Euro Area. Table VD-EUR provides yearly growth rates of the combined GDP of the members of the European Monetary Union (EMU) or euro area since 1996. Growth was very strong at 3.3 percent in 2006 and 3.0 percent in 2007. The global recession had strong impact with growth of only 0.4 percent in 2008 and decline of 4.4 percent in 2009. Recovery was at lower growth rates of 2.0 percent in 2010 and 1.6 percent in 2011. EUROSTAT estimates growth of GDP of the euro area of minus 0.7 percent in 2012 and minus 0.4 percent in 2013 but 1.1 percent in 2014 and 1.7 percent in 2015.

Table VD-EUR, Euro Area, Yearly Percentage Change of Harmonized Index of Consumer Prices, Unemployment and GDP ∆%

Year

HICP ∆%

Unemployment
%

GDP ∆%

1999

1.2

9.6

2.9

2000

2.2

8.8

3.8

2001

2.4

8.2

2.0

2002

2.3

8.5

0.9

2003

2.1

9.0

0.7

2004

2.2

9.2

2.2

2005

2.2

9.1

1.7

2006

2.2

8.4

3.3

2007

2.2

7.5

3.0

2008

3.3

7.6

0.4

2009

0.3

9.6

-4.5

2010

1.6

10.1

1.9

2011

2.7

10.1

1.6

2012

2.5

11.3

-0.7

2013*

1.3

12.0

-0.4

2014*

   

1.1

2015*

   

1.7

*EUROSTAT forecast Source: EUROSTAT

http://ec.europa.eu/eurostat

http://ec.europa.eu/eurostat/data/database

The GDP of the euro area in 2012 in current US dollars in the dataset of the World Economic Outlook (WEO) of the International Monetary Fund (IMF) is $12,199.1 billion or 16.9 percent of world GDP of $72,216.4 billion (http://www.imf.org/external/pubs/ft/weo/2012/02/weodata/index.aspx). The sum of the GDP of France $2613.9 billion with the GDP of Germany of $3429.5 billion, Italy of $2014.1 billion and Spain $1323.5 billion is $9381.0 billion or 76.9 percent of total euro area GDP and 13.0 percent of World GDP. The four largest economies account for slightly more than three quarters of economic activity of the euro area. Table VD-EUR1 is constructed with the dataset of EUROSTAT, providing growth rates of the euro area as a whole and of the largest four economies of Germany, France, Italy and Spain annually from 1996 to 2011 with the estimate of 2012 and forecasts for 2013, 2014 and 2015 by EUROSTAT. The impact of the global recession on the overall euro area economy and on the four largest economies was quite strong. There was sharp contraction in 2009 and growth rates have not rebounded to earlier growth with exception of Germany in 2010 and 2011.

Table VD-EUR1, Euro Area, Real GDP Growth Rate, ∆%

 

Euro Area

Germany

France

Italy

Spain

2015*

1.7

1.9

1.7

1.2

1.7

2014*

1.1

1.7

0.9

0.7

0.5

2013*

-0.4

0.4

0.2

-1.9

-1.2

2012

-0.7

0.7

0.0

-2.4

-1.6

2011

1.6

3.3

2.0

0.4

0.1

2010

1.9

4.0

1.7

1.7

-0.2

2009

-4.5

-5.1

-3.1

-5.5

-3.8

2008

0.4

1.1

-0.1

-1.2

0.9

2007

3.0

3.3

2.3

1.7

3.5

2006

3.3

3.7

2.5

2.2

4.1

2005

1.7

0.7

1.8

0.9

3.6

2004

2.2

1.2

2.5

1.7

3.3

2003

0.7

-0.4

0.9

0.0

3.1

2002

0.9

0.0

0.9

0.5

2.7

2001

2.0

1.5

1.8

1.9

3.7

2000

3.8

3.1

3.7

3.7

5.0

1999

2.9

1.9

3.3

1.5

4.7

1998

2.8

1.9

3.4

1.4

4.5

1997

2.6

1.7

2.2

1.9

3.9

1996

1.5

0.8

1.1

1.1

2.5

Source: EUROSTAT

http://ec.europa.eu/eurostat

http://ec.europa.eu/eurostat/data/database

The Flash Eurozone PMI Composite Output Index of the Markit Flash Eurozone PMI®, combining activity in manufacturing and services, increased from 52.6 in Jan to 53.5 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/be007dfe9a364164b10392d0572ffcf2). Chris Williamson, Chief Economist at Markit, finds that the Markit Flash Eurozone PMI index suggests GDP growth at around 0.3 percent in IQ2015 (http://www.markiteconomics.com/Survey/PressRelease.mvc/be007dfe9a364164b10392d0572ffcf2). The Markit Eurozone PMI® Composite Output Index, combining services and manufacturing activity with close association with GDP increased from 52.6 in Jan to 53.3 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/e1972f0591de4394aa4e977fcad4d0a1). Chris Williamson, Chief Economist at Markit, finds slowing growth of GDP at around 0.3 percent in IQ2015 (http://www.markiteconomics.com/Survey/PressRelease.mvc/e1972f0591de4394aa4e977fcad4d0a1). The Markit Eurozone Services Business Activity Index increased from 52.7 in Jan to 53.7 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/e1972f0591de4394aa4e977fcad4d0a1). The Markit Eurozone Manufacturing PMI® did not change from 51.0 in Jan to 51.0 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/88acf5800873414f90a017221726b9be). New export orders increased. Chris Williamson, Chief Economist at Markit, finds modest improvement of industrial growth in the euro area (http://www.markiteconomics.com/Survey/PressRelease.mvc/88acf5800873414f90a017221726b9be). Table EUR provides the data table for the euro area.

Table EUR, Euro Area Economic Indicators

GDP

IVQ2014 ∆% 0.3; IVQ2014/IVQ2013 ∆% 0.9 Blog 2/15/15

Unemployment 

Jan 2015: 11.4 % unemployment rate; Jan 2015: 18.059 million unemployed

Blog 3/8/15

HICP

Jan month ∆%: -1.6

12 months Jan ∆%: -0.6
Blog 3/1/15

Producer Prices

Euro Zone industrial producer prices Jan ∆%: -0.9
Jan 12-month ∆%: -3.4
Blog 3/8/15

Industrial Production

Dec month ∆%: 0.0; Dec 12 months ∆%: -0.2
Blog 2/15/15

Retail Sales

Dec month ∆%: 0.3
Dec 12 months ∆%: 2.8
Blog 2/8/15

Confidence and Economic Sentiment Indicator

Sentiment 102.1 Feb 2015

Consumer minus 6.7 Feb 2015

Blog 3/1/15

Trade

Jan-Dec 2014/Jan-Dec 2013 Exports ∆%: 2.4
Imports ∆%: 0.1

Dec 2014 12-month Exports ∆% 8.0 Imports ∆% 1.0
Blog 2/22/15

Links to blog comments in Table EUR:

3/1/15 http://cmpassocregulationblog.blogspot.com/2015/03/irrational-exuberance-mediocre-cyclical.html

2/22/15 http://cmpassocregulationblog.blogspot.com/2015/02/world-financial-turbulence-squeeze-of.html

2/15/15 http://cmpassocregulationblog.blogspot.com/2015/02/g20-monetary-policy-recovery-without.html

2/8/15 http://cmpassocregulationblog.blogspot.com/2015/02/job-creation-and-monetary-policy-twenty.html

2/1/15 http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html

EUROSTAT estimates the rate of unemployment in the euro area at 11.2 percent in

Jan 2015, as shown in Table VD-1. The number of unemployed in Jan 2015 was 18.059 million, which was 0.895 million lower than 18.954 million in Jan 2014. The rate of unemployment fell from 11.8 percent in Jan 2014 to 11.2 percent in Jan 2015.

Table VD-1, Euro Area, Unemployment Rate and Number of Unemployed, % and Millions, SA 

 

Unemployment Rate %

Number Unemployed
Millions

Jan 2015

11.2

18.059

Dec 2014

11.3

18.199

Nov

11.4

18.408

Oct

11.5

18.419

Sep

11.5

18.455

Aug

11.5

18.468

Jul

11.6

18.603

Jun

11.5

18.526

May

11.6

18.625

Apr

11.6

18.631

Mar

11.7

18.764

Feb

11.8

18.814

Jan

11.8

18.954

Dec 2013

11.9

18.980

Nov

11.9

19.075

Oct

11.9

19.128

Sep

12.0

19.246

Aug

12.0

19.228

Jul

12.0

19.220

Jun

12.0

19.283

May

12.1

19.305

Apr

12.0

19.296

Mar

12.0

19.243

Feb

12.0

19.255

Jan

12.0

19.208

Dec 2012

11.9

18.986

Nov

11.8

18.885

Oct

11.7

18.784

Sep

11.5

18.510

Aug

11.5

18.369

Jul

11.4

18.339

Jun

11.4

18.267

May

11.3

18.049

Apr

11.2

17.876

Mar

11.0

17.608

Feb

10.9

17.334

Jan

10.7

17.114

Dec 2011

10.7

17.058

Nov

10.6

16.926

Oct

10.4

16.613

Sep

10.4

16.482

Aug

10.2

16.250

Jul 

10.1

16.089

Jun

10.0

15.875

May

10.0

15.828

Apr

9.9

15.688

Mar

10.0

15.773

Feb

10.0

15.800

Jan

10.1

15.912

Dec 2010

10.1

15.999

Source: EUROSTAT

http://ec.europa.eu/eurostat

Table VD-2 shows the disparity in rates of unemployment in the euro area with 11.2 percent for the region as a whole and 18.059 million unemployed but 4.7 percent in Germany and 1.985 million unemployed. At the other extreme is Spain with rate of unemployment of 23.4 percent and 5.391 million unemployed. The rate of unemployment of the European Union in Jan 2015 is 9.8 percent with 23.815 million unemployed.

Table VD-2, Unemployed and Unemployment Rate in Countries and Regions, Millions and %

Jan 2015

Unemployment Rate %

Unemployed Millions

Euro Zone

11.2

18.059

Germany

4.7

1.985

France

10.2

2.989

Netherlands

7.2

0.645

Finland

8.8

0.236

Portugal

13.3

0.683

Ireland

10.0

0.214

Italy

12.6

3.221

Greece

25.8*

1.229*

Spain

23.4

5.391

Belgium

8.5

0.426

European Union

9.8

23.815

*Nov 2014

Source: EUROSTAT

http://ec.europa.eu/eurostat

Chart VD-1 of EUROSTAT illustrates the wide difference in rates of unemployment in countries and regions.

clip_image017

Chart VD-1, Unemployment Rate in Various Countries and Regions

Source: EUROSTAT

http://ec.europa.eu/eurostat

VE Germany. Table VE-DE provides yearly growth rates of the German economy from 1971 to 2014, price adjusted chain-linked and price and calendar-adjusted chain-linked. Germany’s GDP fell 5.6 percent in 2009 after growing below trend at 1.1 percent in 2008. Recovery has been robust in contrast with other advanced economies. The German economy grew at 4.1 percent in 2010, 3.6 percent in 2011 and 0.4 percent in 2012. Growth decelerated to 0.1 percent in 2013, increasing to 1.6 percent in 2014.

The Federal Statistical Agency of Germany analyzes the fall and recovery of the German economy (http://www.destatis.de/jetspeed/portal/cms/Sites/destatis/Internet/EN/Content/Statistics/VolkswirtschaftlicheGesamtrechnungen/Inlandsprodukt/Aktuell,templateId=renderPrint.psml):

“The German economy again grew strongly in 2011. The price-adjusted gross domestic product (GDP) increased by 3.0% compared with the previous year. Accordingly, the catching-up process of the German economy continued during the second year after the economic crisis. In the course of 2011, the price-adjusted GDP again exceeded its pre-crisis level. The economic recovery occurred mainly in the first half of 2011. In 2009, Germany experienced the most serious post-war recession, when GDP suffered a historic decline of 5.1%. The year 2010 was characterised by a rapid economic recovery (+3.7%).”

Table VE-DE, Germany, GDP ∆% on Prior Year

 

Price Adjusted Chain-Linked

Price- and Calendar-Adjusted Chain Linked

Average ∆% 1991-2014

1.3

 

Average ∆% 1991-1999

1.5

 

Average ∆% 2000-2007

1.4

 

Average ∆% 2003-2007

2.2

 

Average ∆% 2007-2014

0.7

 

Average ∆% 2009-2014

1.9

 

2014

1.6

1.6

2013

0.1

0.2

2012

0.4

0.6

2011

3.6

3.7

2010

4.1

3.9

2009

-5.6

-5.6

2008

1.1

0.8

2007

3.3

3.4

2006

3.7

3.9

2005

0.7

0.9

2004

1.2

0.7

2003

-0.7

-0.7

2002

0.0

0.0

2001

1.7

1.8

2000

3.0

3.2

1999

2.0

1.9

1998

2.0

1.7

1997

1.8

1.9

1996

0.8

0.8

1995

1.7

1.8

1994

2.5

2.5

1993

-1.0

-1.0

1992

1.9

1.5

1991

5.1

5.2

1990

5.3

5.5

1989

3.9

4.0

1988

3.7

3.4

1987

1.4

1.3

1986

2.3

2.3

1985

2.3

2.3

1984

2.8

2.9

1983

1.6

1.5

1982

-0.4

-0.5

1981

0.5

0.6

1980

1.4

1.3

1979

4.2

4.3

1978

3.0

3.1

1977

3.3

3.5

1976

4.9

4.5

1975

-0.9

-0.9

1974

0.9

1.0

1973

4.8

5.0

1972

4.3

4.3

1971

3.1

3.0

1970

NA

NA

Source: Statistisches Bundesamt Deutschland (Destatis)

https://www.destatis.de/EN/FactsFigures/NationalEconomyEnvironment/NationalAccounts/NationalAccounts.html

https://www.destatis.de/EN/FactsFigures/NationalEconomyEnvironment/NationalAccounts/DomesticProduct/CurrentRevision.html

https://www.destatis.de/EN/Methods/NationalAccountRevision/Revision2014_BackgroundPaper.pdf?__blob=publicationFile

https://www.destatis.de/EN/PressServices/Press/pr/2014/02/PE14_048_811.html

https://www.destatis.de/EN/PressServices/Press/pr/2013/08/PE13_278_811.html https://www.destatis.de/EN/PressServices/Press/pr/2013/11/PE13_381_811.html

https://www.destatis.de/EN/PressServices/Press/pr/2014/01/PE14_016_811.html

https://www.destatis.de/DE/PresseService/Presse/Pressekonferenzen/2014/BIP2013/Pressebroschuere_BIP2013.html

https://www.destatis.de/EN/PressServices/Press/pr/2014/05/PE14_167_811.html

https://www.destatis.de/EN/PressServices/Press/pr/2014/09/PE14_306_811.html

https://www.destatis.de/EN/PressServices/Press/pr/2014/11/PE14_401_811.html

https://www.destatis.de/EN/PressServices/Press/pr/2015/02/PE15_048_811.html

https://www.destatis.de/EN/PressServices/Press/pr/2015/02/PE15_61_811.html

The Flash Germany Composite Output Index of the Markit Flash Germany PMI®, combining manufacturing and services, increased from 53.5 in Jan to 54.3 in Feb. The index of manufacturing output reached 52.0 in Feb, decreasing from 52.3 in Jan, while the index of services increased to 55.5 in Feb from 54.0 in Jan. The overall Flash Germany Manufacturing PMI® did not change from 50.9 in Jan to 50.9 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/54a10c0e6ce14dfbb978cdc2ae5b1d92). New orders in manufacturing expanded. Oliver Kolodseike, Economist at Markit, finds improving GDP growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/54a10c0e6ce14dfbb978cdc2ae5b1d92). The Markit Germany Composite Output Index of the Markit Germany Services PMI®, combining manufacturing and services with close association with Germany’s GDP, increased from 53.5 in Jan to 53.8 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/2b9e2def63d54291b499323d045c1e8d). Oliver Kolodseike, Senior Economist at Markit and author of the report, finds improvement in 2015 (http://www.markiteconomics.com/Survey/PressRelease.mvc/2b9e2def63d54291b499323d045c1e8d). The Germany Services Business Activity Index increased from 54.0 in Jan to 54.7 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/2b9e2def63d54291b499323d045c1e8d). The Markit/BME Germany Purchasing Managers’ Index® (PMI®), showing close association with Germany’s manufacturing conditions, increased from 50.9 in Jan to 51.1 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/00764b709eef44c1a5905c0f98eac492). New export orders increased. Oliver Kolodseike, Senior Economist at Markit and author of the report, finds improvement of manufacturing still at a low level (http://www.markiteconomics.com/Survey/PressRelease.mvc/00764b709eef44c1a5905c0f98eac492).Table DE provides the country data table for Germany.

Table DE, Germany, Economic Indicators

GDP

IVQ2014 0.7 ∆%; IV/Q2014/IVQ2013 ∆% 1.6

2014/2013: 1.6%

GDP ∆% 1970-2014

Blog 8/26/12 5/27/12 11/25/12 2/24/13 5/19/13 5/26/13 8/18/13 8/25/13 11/17/13 11/24/13 1/26/14 2/16/14 3/2/14 5/18/14 5/25/14 8/17/14 9/7/14 11/16/14 11/30/14 2/15/15 3/1/15

Consumer Price Index

Jan month NSA ∆%: -1.1
Jan 12-month NSA ∆%: 0.4
Blog 2/15/15

Producer Price Index

Jan month ∆%: -0.6 NSA, minus 0.5 CSA
12-month NSA ∆%: -2.2
Blog 2/22/15

Industrial Production

MFG Dec month CSA ∆%: 0.5
12-month NSA: 2.5
Blog 2/15/15

Machine Orders

MFG Dec month ∆%: 4.2
Dec 12-month ∆%: 5.6
Blog 2/8/15

Retail Sales

Jan Month ∆% 2.9

12-Month ∆% 5.3

Blog 3/8/15

Employment Report

Unemployment Rate SA Jan 4.7%
Blog 3/1/15

Trade Balance

Exports Dec 12-month NSA ∆%: 10.0
Imports Dec 12 months NSA ∆%: 4.0
Exports Dec month CSA ∆%: 3.4; Imports Dec month CSA minus 0.8

Blog 2/15/15

Links to blog comments in Table DE:

3/1/15 http://cmpassocregulationblog.blogspot.com/2015/03/irrational-exuberance-mediocre-cyclical.html

2/22/15 http://cmpassocregulationblog.blogspot.com/2015/02/world-financial-turbulence-squeeze-of.html

2/15/15 http://cmpassocregulationblog.blogspot.com/2015/02/g20-monetary-policy-recovery-without.html

2/8/15 http://cmpassocregulationblog.blogspot.com/2015/02/job-creation-and-monetary-policy-twenty.html

2/1/15 http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html

11/30/14 http://cmpassocregulationblog.blogspot.com/2014/11/valuations-of-risk-financial-assets.html

11/16/14 http://cmpassocregulationblog.blogspot.com/2014/11/fluctuating-financial-variables.html

9/7/14 http://cmpassocregulationblog.blogspot.com/2014/09/competitive-monetary-policy-and.html

8/17/2014 http://cmpassocregulationblog.blogspot.com/2014/08/weakening-world-economic-growth.html

5/25/14 http://cmpassocregulationblog.blogspot.com/2014/05/united-states-commercial-banks-assets.html

5/18/14 http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html

3/2/14 http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html

2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html

1/26/14 http://cmpassocregulationblog.blogspot.com/2014/01/capital-flows-exchange-rates-and.html

11/24/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-zero-interest-rates-world.html

11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html

8/25/13 http://cmpassocregulationblog.blogspot.com/2013/08/interest-rate-risks-duration-dumping.html

8/18/13 http://cmpassocregulationblog.blogspot.com/2013/08/duration-dumping-and-peaking-valuations.html

Retail sales in Germany adjusted for inflation are provided in Table VE-1. There have been sharp fluctuations in monthly and 12-month percentage changes. In Jan 2015, retail sales increased 2.9 percent and increased 5.3 percent in 12 months. Retail sales increased 0.6 percent in Dec 2014 and increased 4.8 percent in 12 months.

Table VE-1, Retail Sales in Germany Adjusted for Inflation

 

12-Month ∆% NSA

Month ∆% SA and Calendar Adjusted

Jan 2015

5.3

2.9

Dec 2014

4.8

0.6

Nov

-1.2

0.5

Oct

2.5

2.0

Sep

2.8

-1.7

Aug

-1.0

0.7

Jul

1.2

-0.7

Jun

0.1

1.3

May

2.3

-0.2

Apr

3.6

-0.6

Mar

-0.7

-0.4

Feb

2.4

1.0

Jan

0.9

2.5

Dec 2013

0.2

-2.5

Nov

1.6

1.6

Oct

-0.2

-0.9

Sep

0.2

0.4

Aug

0.4

-0.3

Jul

3.3

0.6

Jun

-2.9

-1.1

May

0.2

0.8

Apr

2.5

0.2

Mar

-2.9

-0.1

Feb

-3.3

-0.1

Jan

2.2

2.0

Dec 2012

-3.1

-1.6

Nov

0.5

0.1

Oct

1.5

-0.5

Sep

-3.1

0.2

Aug

0.0

-0.2

Jul

-1.0

-0.7

Jun

4.6

1.0

May

-0.7

-0.4

Apr

-4.7

-0.6

Mar

4.2

1.0

Feb

2.5

1.9

Jan

2.0

-2.6

Dec 2011

0.8

1.0

Nov

0.9

-1.3

Oct

-0.4

0.5

Sep

1.2

0.4

Aug

3.4

-1.3

Jul

-2.4

1.3

Jun

-2.0

2.5

May

4.5

-2.7

Apr

4.8

1.4

Mar

-2.9

-2.4

Feb

3.0

2.2

Jan

3.3

-0.1

Dec 2010

-0.2

0.5

Dec 2009

-2.2

 

Dec 2008

3.4

 

Dec 2007

-6.2

 

Dec 2006

1.3

 

Source: Statistisches Bundesamt Deutschland (Destatis)

https://www.destatis.de/EN/FactsFigures/Indicators/ShortTermIndicators/ShortTermIndicators.html

Chart VE-3 of the Statistisches Bundesamt Deutschland, Federal Statistical Office of Germany, shows retail sales at constant prices from 2010 to 2015. There appear to be fluctuations without trend.

clip_image019

Chart VE-1, Germany, Turnover in Retail Trade at Constant Prices 2010=100

Source: Statistisches Bundesamt Deutschland (Destatis), Federal Statistical Office of Germany

https://www.destatis.de/EN/FactsFigures/Indicators/ShortTermIndicators/ShortTermIndicators.html

Chart VE-2 of the Federal Statistical Office of Germany provides retail sales at current prices. The final segment suggests a trend of increase.

clip_image020

Chart VE-2, Germany, Turnover in Retail Sales at Current Prices, Original Values, 2010=100

Source: Statistisches Bundesamt Deutschland (Destatis), Federal Statistical Office of Germany

https://www.destatis.de/EN/FactsFigures/Indicators/ShortTermIndicators/ShortTermIndicators.html

VF France. Table VF-FR provides growth rates of GDP of France with the estimates of Institut National de la Statistique et des Études Économiques (INSEE). The long-term rate of GDP growth of France from IVQ1949 to IVQ2014 is quite high at 3.2 percent. France’s growth rates were quite high in the four decades of the 1950s, 1960, 1970s and 1980s with an average growth rate of 4.0 percent compounding the average rates in the decades and discounting to one decade. The growth impulse diminished with 2.0 percent in the 1990s and 1.8 percent from 2000 to 2007. The average growth rate from 2000 to 2014, using fourth quarter data, is 1.0 percent because of the sharp impact of the global recession from IVQ2007 to IIQ2009. Cobet and Wilson (2002) provide estimates of output per hour and unit labor costs in national currency and US dollars for the US, Japan and Germany from 1950 to 2000 (see Pelaez and Pelaez, The Global Recession Risk (2007), 137-44). The average yearly rate of productivity change from 1950 to 2000 was 2.9 percent in the US, 6.3 percent for Japan and 4.7 percent for Germany while unit labor costs in USD increased at 2.6 percent in the US, 4.7 percent in Japan and 4.3 percent in Germany. From 1995 to 2000, output per hour increased at the average yearly rate of 4.6 percent in the US, 3.9 percent in Japan and 2.6 percent in Germany while unit labor costs in US fell at minus 0.7 percent in the US, 4.3 percent in Japan and 7.5 percent in Germany. There was increase in productivity growth in the G7 in Japan and France in the second half of the 1990s but significantly lower than the acceleration of 1.3 percentage points per year in the US. Lucas (2011May) compares growth of the G7 economies (US, UK, Japan, Germany, France, Italy and Canada) and Spain, finding that catch-up growth with earlier rates for the US and UK stalled in the 1970s.

Table VF-FR, France, Average Growth Rates of GDP Fourth Quarter, 1949-2014

Period

Average ∆%

1949-2014

3.2

2007-2014

0.3

2000-2014

1.0

2000-2013

1.1

2000-2007

1.8

1990-1999

2.0

1980-1989

2.6

1970-1979

3.7

1960-1969

5.7

1950-1959

4.2

Source: Institut National de la Statistique et des Études Économiques

http://www.insee.fr/en/themes/info-rapide.asp?id=26&date=20150213

The Markit Flash France Composite Output Index increased from 49.3 in Jan to 52.2 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/b6bc1f701e814e5fab60f5e56429f5e4). Jack Kennedy, Senior Economist at Markit and author of the report, finds possible improvement in IQ2015 GDP (http://www.markiteconomics.com/Survey/PressRelease.mvc/b6bc1f701e814e5fab60f5e56429f5e4). The Markit France Composite Output Index, combining services and manufacturing with close association with French GDP, increased from 49.3 in Jan to 52.2 in Feb, indicating strong improvement (http://www.markiteconomics.com/Survey/PressRelease.mvc/aa544adb5bb042b6999fbd0d92bf7a2f). Jack Kennedy, Senior Economist at Markit and author of the France Services PMI®, finds strengthening growth of services (http://www.markiteconomics.com/Survey/PressRelease.mvc/aa544adb5bb042b6999fbd0d92bf7a2f). The Markit France Services Activity index increased from 49.4 in Jan to 53.4 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/aa544adb5bb042b6999fbd0d92bf7a2f). The Markit France Manufacturing Purchasing Managers’ Index® decreased to 47.6 in Feb from 49.2 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/e784d5703ea041639d874f4aa5610ac1). Jack Kennedy, Senior Economist at Markit and author of the France Manufacturing PMI®, finds deterioration in manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/e784d5703ea041639d874f4aa5610ac1). Table FR provides the country data table for France.

Table FR, France, Economic Indicators

CPI

Jan month ∆% -1.0
12 months ∆%: -0.4
2/22/15

PPI

Jan month ∆%: -0.9
Jan 12 months ∆%: -3.3

Blog 3/1/15

GDP Growth

IVQ2014/IIIQ2014 ∆%:0.1
IVQ2014/IVQ2013 ∆%: 0.2
Blog 3/31/13 5/19/12 6/30/13 9/29/13 11/17/13 12/29/13 2/16/14 4/6/14 5/18/14 6/29/14 8/17/14 9/28/14 11/16/14 12/28/14 2/15/15

Industrial Production

Dec ∆%:
Manufacturing 1.2 12-Month ∆%:
Manufacturing 0.3
Blog 2/15/15

Consumer Spending

Manufactured Goods
Jan ∆%: 0.2 Jan 12-Month Manufactured Goods
∆%: 1.3
Blog 3/8/15

Employment

Unemployment Rate: IIIQ2014 9.9%
Blog 12/7/14

Trade Balance

Dec Exports ∆%: month 1.8, 12 months 3.7

Dec Imports ∆%: month 2.6, 12 months -1.4

Blog 2/15/15

Confidence Indicators

Historical average 100

Feb Mfg Business Climate 99.0

Blog 3/1/15

Links to blog comments in Table FR:

3/1/15 http://cmpassocregulationblog.blogspot.com/2015/03/irrational-exuberance-mediocre-cyclical.html

2/22/15 http://cmpassocregulationblog.blogspot.com/2015/02/world-financial-turbulence-squeeze-of.html

2/15/15 http://cmpassocregulationblog.blogspot.com/2015/02/g20-monetary-policy-recovery-without.html

2/1/15 http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html

12/28/14 http://cmpassocregulationblog.blogspot.com/2014/12/valuations-of-risk-financial-assets.html

12/7/14 http://cmpassocregulationblog.blogspot.com/2014/12/financial-risks-twenty-six-million.html

11/16/14 http://cmpassocregulationblog.blogspot.com/2014/11/fluctuating-financial-variables.html

9/28/14 http://cmpassocregulationblog.blogspot.com/2014/09/financial-volatility-mediocre-cyclical.html

8/17/2014 http://cmpassocregulationblog.blogspot.com/2014/08/weakening-world-economic-growth.html

6/29/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-indecision-mediocre-cyclical.html

5/18/14 http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html

4/6/14 http://cmpassocregulationblog.blogspot.com/2014/04/interest-rate-risks-twenty-eight.html

2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html

12/29/13 http://cmpassocregulationblog.blogspot.com/2013/12/collapse-of-united-states-dynamism-of.html

11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html

9/29/13 http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html

6/30/13 http://cmpassocregulationblog.blogspot.com/2013/06/tapering-quantitative-easing-policy-and.html

5/19/13 http://cmpassocregulationblog.blogspot.com/2013/05/word-inflation-waves-squeeze-of.html

The monthly report of household expenditures in consumption goods for France is in Table VF-1. Total consumption increased 0.6 percent in Jan 2015 after increasing 1.6 percent in Dec 2014 and increasing 0.2 percent in Nov 2014. Consumption of manufactured products increased 0.2 percent in Jan 2015 after increasing 1.3 percent in Dec 2014 and changing 0.0 percent in Nov 2014. Total consumption increased 2.6 percent in Jan 2015 relative to Jan 2014 and consumption of manufactured goods increased 2.1 percent in Jan 2015 relative to Jan 2014. Consumption of energy increased 1.3 percent in Jan 2015 and increased 2.2 percent in 12 months. Internal demand is weak throughout most advanced economies.

Table VF-1, France, Household Expenditures in Consumption Goods, Month ∆% Chained Billion Euros Trading-Days SA

 

Total

Food

Eng. Goods

Energy

Mfg
Goods

Jan 2015

0.6

-0.1

1.3

0.6

0.2

Jan 2015/Jan 2014

2.6

1.4

2.2

5.8

2.1

Dec 2014

1.6

0.7

0.2

6.9

1.3

Nov

0.2

-0.1

0.6

0.0

0.0

Oct

-0.4

-0.1

1.0

-4.5

0.2

Sep

-0.5

0.6

-1.4

-0.6

-0.5

Aug

0.9

0.9

0.7

1.3

1.0

Jul

-0.7

-1.5

-0.1

-0.9

-0.9

Jun

0.9

1.2

0.9

0.2

1.3

May

0.0

-1.2

-0.4

3.8

-0.7

Apr

-0.2

1.1

-0.4

-2.2

0.1

Mar

0.5

0.4

-0.3

2.6

0.6

Feb

-0.3

-0.5

0.2

-1.1

-0.3

Jan

-1.3

-0.6

-0.4

-4.8

-0.9

Dec 2013

-0.2

0.1

0.8

-3.3

0.6

Nov

1.4

-0.5

0.5

7.3

0.2

Oct

-0.1

1.6

0.0

-3.4

0.6

Sep

0.3

-0.4

1.1

-0.4

0.2

Aug

-0.6

-0.3

-0.2

-1.9

-0.6

Jul

0.7

0.8

0.3

1.5

1.0

Jun

-1.4

-1.1

0.4

-6.1

-1.1

May

0.8

2.2

0.0

0.0

1.2

Apr

-0.6

-3.0

0.8

1.2

-0.5

Mar

0.7

1.6

-0.8

2.6

0.4

Feb

-0.2

-0.1

-1.1

1.9

-0.6

Jan

0.8

0.9

0.0

2.8

0.3

Dec 2012

-0.7

-0.1

0.6

-4.6

-0.2

Nov

-0.4

-0.5

-1.1

1.7

-0.7

Oct

0.2

-0.5

0.1

1.7

0.2

Sep

0.1

-0.5

0.5

0.4

0.1

Aug

-0.8

0.3

-1.1

-2.6

-1.0

Jul

0.3

-0.2

0.6

0.5

0.3

Jun

0.2

1.0

-0.6

0.7

0.2

May

0.1

-0.2

2.0

-3.8

1.2

Apr

0.2

0.1

-3.5

10.2

-1.7

Mar

-2.9

-1.9

1.3

-14.5

-0.7

Feb

2.4

1.4

-0.9

12.7

0.6

Jan

1.0

1.0

0.3

3.1

0.8

Dec 2011

-0.9

-1.0

-0.7

-1.3

-1.1

Nov

-0.2

0.3

0.2

-2.2

0.0

Oct

-0.2

-0.8

0.4

-0.4

-0.1

Sep

-0.3

0.6

-0.1

-2.9

-0.3

Aug

0.7

0.1

0.5

2.6

0.8

Jul

-0.2

0.2

-0.7

0.4

-0.2

Jun

0.6

-0.2

0.3

3.0

0.4

May

0.0

-0.5

-0.5

2.6

-0.7

Apr

-2.3

0.3

-3.1

-5.8

-1.8

Mar

-0.9

-0.4

-1.1

-1.7

-1.1

Feb

0.6

0.7

1.5

-2.1

1.2

Jan

-0.3

-0.7

1.7

-4.5

0.7

Dec 2010

0.6

0.6

-0.6

3.8

0.0

Eng. Goods: Engineered Goods

Source: Institut National de la Statistique et des Études Économiques

http://insee.fr/en/themes/info-rapide.asp?id=19&date=20150227

Chart VF-1 of the Institut National de la Statistique et des Études Économiques of France provides consumption of manufactured goods in France in volumes of chained 2005 billion euro from Jan 1980 to Jan 2015. Consumption of manufactured goods increased above the level before the global recession but shows declining trend in recent months with possible stabilization. There is new trend of increase in the final segment.

clip_image021

Chart VF-1, France, Consumption of Manufactured Goods, Volume Chained 2005 Billion, Seasonally and Working Day Adjusted, Jan 1980 to Jan 2015

Source: Institut National de la Statistique et des Études Économiques

http://insee.fr/en/themes/info-rapide.asp?id=19&date=20150227

Chart VF-2 of Institut National de la Statistique et des Études Économiques of France provides growth of total consumption in France. There is downward trend of monthly consumption with fluctuations and stability in the final segment followed by another drop in Jan-Feb 2013 and increase in Mar 2013 but renewed decrease in Apr 2013. Consumption rose again in May 2013 and fell in Jun 2013. Consumption increased in Jul 2013 and fell in Aug-Oct 2013. Consumption rose in Nov 2013 driven by electricity and fell marginally in Dec 2013. Consumption fell in Jan-Feb 2014 and rebounded in Mar 2014 with decline in Apr 2014. Consumption grew in May-Jun 2014, falling in Jul 2014 and rebounding in Aug 2014. Consumption decreased in Sep-Oct 2014 and rebounded in Nov-Dec 2014 and into Jan 2015.

clip_image022

Chart VF-2, France, Total Consumption of Goods, Billions of Euros Trading and Seasonally Adjusted and Quarterly ∆%

Source: Institut National de la Statistique et des Études Économiques

http://insee.fr/en/themes/info-rapide.asp?id=19&date=20150227

VG Italy. Table VG-IT provides percentage changes in a quarter relative to the same quarter a year earlier of Italy’s expenditure components in chained volume measures. GDP has been declining at sharper rates from minus 0.7 percent in IVQ2011 to minus 2.5 percent in IVQ2012, minus 2.5 percent in IQ2013, minus 2.2 percent in IIQ2013 and minus 1.8 percent in IIIQ2013. GDP fell 1.2 percent in IVQ2013 relative to a year earlier. GDP fell 0.3 percent in IQ2014 relative to a year earlier and decreased 0.4 percent in IIQ2014 relative to a year earlier. GDP fell 0.4 percent in IIIQ2014 relative to a year earlier. GDP fell 0.3 percent in IVQ2014 relative to a year earlier. The aggregate demand components of consumption and gross fixed capital formation (GFCF) have been declining at faster rates. The rates of decline of GDP, consumption and GFCF were somewhat milder in IIIQ2013 and IVQ2013 than in IQ2013 and the final three quarters of 2012. Consumption fell 0.3 percent in IQ2014 and GFCF fell 1.4 percent. In IIQ2014, consumption increased 0.2 percent relative to a year earlier and GFCF fell 2.2 percent. GDP fell 0.5 percent in IIIQ2014 relative to a year earlier while consumption increased 0.4 percent and GFCF fell 3.1 percent.

Table VG-IT, Italy, GDP and Expenditure Components, Chained Volume Measures, Quarter ∆% on Same Quarter Year Earlier

 

GDP

Imports

Consumption

GFCF

Exports

2014

         

IVQ

-0.3

       

IIIQ

-0.4

-0.7

0.4

-3.1

1.3

IIQ

-0.4

1.8

0.2

-2.2

2.5

IQ

-0.3

-0.1

-0.3

-1.4

1.5

2013

         

IVQ

-1.2

0.5

-1.1

-3.4

1.4

IIIQ

-1.8

-1.7

-2.2

-4.3

0.4

IIQ

-2.2

-4.1

-2.7

-6.2

0.4

IQ

-2.5

-5.0

-2.9

-7.6

1.3

2012

         

IVQ

-2.5

-7.6

-3.5

-7.8

1.3

IIIQ

-2.5

-8.0

-3.7

-8.1

2.5

IIQ

-2.4

-8.6

-3.6

-7.6

1.2

IQ

-1.9

-8.5

-3.0

-6.5

1.6

2011

         

IVQ

-0.7

-7.0

-2.1

-4.0

2.4

IIIQ

0.5

0.4

-0.8

-2.4

4.6

IIQ

1.3

3.7

0.4

-0.9

7.7

IQ

1.9

8.4

0.7

0.6

10.3

2010

         

IVQ

2.3

14.6

1.3

0.9

13.0

IIIQ

1.8

12.9

1.1

0.6

12.4

IIQ

1.9

14.2

1.0

-0.4

13.2

IQ

0.7

6.7

0.9

-3.3

6.8

2009

         

IVQ

-3.5

-6.3

0.2

-8.2

-9.3

IIIQ

-5.0

-12.2

-0.8

-12.6

-16.4

IIQ

-6.6

-17.9

-1.4

-13.6

-21.4

IQ

-6.9

-17.2

-1.8

-12.4

-22.8

2008

         

IVQ

-3.0

-8.2

-0.9

-8.3

-10.3

IIIQ

-1.9

-5.0

-0.8

-4.5

-3.9

IIQ

-0.2

-0.1

-0.3

-1.5

0.4

IQ

0.5

1.7

0.1

-1.0

2.9

GFCF: Gross Fixed Capital Formation

Source: Istituto Nazionale di Statistica

http://www.istat.it/it/archivio/140552

The Markit/ADACI Business Activity Index decreased from 51.2 in Jan to 50.0 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/b9a27bc11e08444fbd9ee7806f41ef6a). Phil Smith, Economist at Markit and author of the Italy Services PMI®, finds weak demand in stabilizing economy (http://www.markiteconomics.com/Survey/PressRelease.mvc/b9a27bc11e08444fbd9ee7806f41ef6a). The Markit/ADACI Purchasing Managers’ Index® (PMI®), increased from 49.9 in Jan to 51.9 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/4ad026cef63847b2873d36705141c799). New export orders continued to increase. Phil Smith, Economist at Markit and author of the Italian Manufacturing PMI®, finds strengthening conditions in manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/4ad026cef63847b2873d36705141c799). Table IT provides the country data table for Italy.

Table IT, Italy, Economic Indicators

Consumer Price Index

Feb month ∆%: 0.3
Feb 12-month ∆%: -0.2
Blog 3/1/15

Producer Price Index

Jan month ∆%: -1.6
Jan 12-month ∆%: -3.7

Blog 3/8/15

GDP Growth

IVQ2014/IIIQ2014 SA ∆%: 0.0
IVQ2014/IVQ2013 NSA ∆%: minus 0.3
Blog 3/17/13 6/16/13 8/11/13 9/15/13 11/17/13 12/15/13 2/16/14 3/16/14 5/18/14 6/15/14 8/10/14 8/31/14 10/19/14 11/16/14 12/7/14 2/15/15

Labor Report

Jan 2015

Participation rate 64.0%

Employment ratio 55.8%

Unemployment rate 12.6%

Youth Unemployment 41.2%

Blog 3/8/15

Industrial Production

Dec month ∆%: 0.4
12 months CA ∆%: 0.1
Blog 2/15/15

Retail Sales

Dec month ∆%: -0.2

Dec 12-month ∆%: 0.1

Blog 3/1/15

Business Confidence

Mfg Feb 99.1, Oct 96.3

Construction Feb 76.6, Oct 77.4

Blog 3/1/15

Trade Balance

Balance Dec SA €5153 million versus Nov €3816
Exports Dec month SA ∆%: 2.6; Imports month ∆%: -1.6
Exports 12 months Dec NSA ∆%: 6.3 Imports 12 months NSA ∆%: -1.3
Blog 2/22/15

Links to blog comments in Table IT:

3/1/15 http://cmpassocregulationblog.blogspot.com/2015/03/irrational-exuberance-mediocre-cyclical.html

2/22/15 http://cmpassocregulationblog.blogspot.com/2015/02/world-financial-turbulence-squeeze-of.html

2/15/15 http://cmpassocregulationblog.blogspot.com/2015/02/g20-monetary-policy-recovery-without.html

2/1/15 http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html

12/7/14 http://cmpassocregulationblog.blogspot.com/2014/12/financial-risks-twenty-six-million.html

11/16/14 http://cmpassocregulationblog.blogspot.com/2014/11/fluctuating-financial-variables.html

10/19/14 http://cmpassocregulationblog.blogspot.com/2014/10/imf-view-squeeze-of-economic-activity.html

8/31/14 http://cmpassocregulationblog.blogspot.com/2014/09/geopolitical-and-financial-risks.html

8/10/14 http://cmpassocregulationblog.blogspot.com/2014/08/volatility-of-valuations-of-risk_10.html

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

5/18/14 http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html

3/16/2014 http://cmpassocregulationblog.blogspot.com/2014/03/global-financial-risks-recovery-without.html

2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html

12/15/13 http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html

11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html

9/15/13 http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html

8/11/13 http://cmpassocregulationblog.blogspot.com/2013/08/recovery-without-hiring-loss-of-full.html

6/16/13 http://cmpassocregulationblog.blogspot.com/2013/06/recovery-without-hiring-seven-million.html

3/17/13 http://cmpassocregulationblog.blogspot.com/2013/03/recovery-without-hiring-ten-million.html

Data on Italy’s labor market since 2004 are provided in Table VG-1. The unemployment rate has risen from 6.2 percent in Dec 2006 to 12.6 percent in Jan 2015. The rate of youth unemployment for ages 15 to 24 years increased from 21.0 percent in Dec 2006 to 41.2 percent in Jan 2015. As in other advanced economies, unemployment has reached high levels.

Table VG-1, Italy, Labor Report

 

Participation Rate %

Employment Ratio %

Unemployment Rate %

Unemployment
Rate 15-24 Years %

Jan 2015

64.0

55.8

12.6

41.2

Dec 2014

64.0

55.7

12.7

41.4

Nov

64.3

55.6

13.2

42.9

Oct

64.3

55.8

13.0

42.6

Sep

64.3

55.9

12.9

41.7

Aug

63.9

55.6

12.7

43.5

Jul

64.0

55.7

12.8

43.0

Jun

63.8

55.8

12.4

42.6

May

63.8

55.6

12.5

42.4

Apr

63.5

55.5

12.4

42.8

Mar

63.7

55.6

12.5

43.6

Feb

63.5

55.5

12.5

42.6

Jan

63.6

55.5

12.7

43.2

Dec 2013

63.6

55.5

12.5

42.5

Nov

63.5

55.5

12.4

42.0

Oct

63.3

55.4

12.3

42.1

Sep

63.3

55.3

12.4

41.5

Aug

63.5

55.6

12.3

40.8

Jul

63.2

55.5

12.0

39.7

Jun

63.3

55.5

12.2

38.5

May

63.5

55.6

12.2

37.8

Apr

63.4

55.7

12.0

38.9

Mar

63.3

55.6

11.9

39.1

Feb

63.5

55.8

11.9

38.9

Jan

63.5

55.9

11.8

38.7

Dec 2012

63.5

56.2

11.4

38.2

Nov

63.5

56.3

11.2

38.6

Oct

63.7

56.4

11.2

36.4

Sep

63.5

56.5

10.8

35.7

Aug

63.4

56.5

10.6

34.4

Jul

63.6

56.6

10.8

35.9

Jun

63.7

56.7

10.8

34.6

May

63.6

56.9

10.4

35.9

Apr

63.6

56.8

10.6

34.7

Mar

63.4

56.7

10.4

35.7

Feb

63.1

56.8

9.9

33.7

Jan

62.9

56.8

9.4

31.5

Dec 2011

62.8

56.7

9.6

31.4

Nov

62.5

56.6

9.4

31.6

Oct

62.3

56.8

8.7

29.0

Sep

62.1

56.5

8.9

30.1

Aug

62.2

56.9

8.5

29.0

Jul

62.0

56.8

8.3

29.3

Jun

61.8

56.8

8.0

28.8

May

61.9

56.8

8.1

28.8

Apr

61.6

56.8

7.7

27.7

Mar

62.0

57.1

7.8

27.3

Feb

61.7

56.8

7.8

26.5

Jan

61.7

56.6

8.0

28.8

Dec 2010

61.0

58.8

8.1

28.4

Dec 2009

62.2

56.9

8.4

26.6

Dec 2008

62.4

58.1

6.8

23.2

Dec 2007

63.0

58.8

6.5

22.3

Dec 2006

62.4

58.5

6.2

21.0

Dec 2005

62.6

57.8

7.6

23.2

Dec 2004

62.5

57.5

7.8

23.8

Source: Istituto Nazionale di Statistica

http://www.istat.it/it/archivio/151146

Table VG-2 provides more detail on the labor report for Italy in Jan 2015. The level of employment changed 0.0 from Dec 2014 to Jan 2015 and increased 131,000 from Jan 2014 to Jan 2015. Unemployment decreased 21,000 in Jan 2015 and increased 7,000 from a year earlier. A dramatic aspect found in most advanced economies is the high rate of unemployment of youth at 41.2 percent in Jan 2015 for ages 15 to 24 years.

Table VG-2, Italy, Labor Report, NSA

Jan 2015

1000s

Change from Prior Month 1000s

∆% from Prior Month

Change from Prior Year 1000s

∆% from Prior Year

EMP

22,320

11

0.0

131

0.6

UNE

3,221

-21

-0.6

7

0.2

INA   15-64

14,062

-8

-0.1

-184

-1.3

EMP 15-24

906

-5

-0.6

-13

-1.4

UNE 15-24

636

-7

-1.0

-64

-9.1

INA 15-24

4,415

7

0.2

47

1.1

EMP %

55.8

 

0.1

 

0.3

UNE %

12.6

 

-0.1

 

0.0

Youth UNE %  15-24

41.2

 

-0.1

 

-2.0

INA % 15-64

36.0

 

0.0

 

-0.4

Notes: EMP: Employed; UNE: Unemployed; INA 15-64: Inactive aged 15 to 64; EMP %: Employment Rate; UNE %: Unemployment Rate; Youth UNE % 15-24: Youth Unemployment Rate aged 15 to 24; INA % 15-64: Inactive Rate aged 15 to 64.

Source: Istituto Nazionale di Statistica

http://www.istat.it/it/archivio/151146

Chart VG-1 provides the rate of unemployment in Italy that decreased from 12.7 percent in Jan 2014 to 12.6 percent in Jan 2015.

clip_image023

Chart VG-1, Italy, Rate of Unemployment, %

Source: Istituto Nazionale di Statistica

http://www.istat.it/en/

Chart VG-2 of the Istituto Nazionale di Statistica provides the total number of employed persons in Italy. The level of employment increased from 22.189 million in Jan 2014 to 22.320 million in Jan 2015.

clip_image024

Chart VG-2, Italy, Total Number of Employed Persons, Millions, SA

Source: Istituto Nazionale di Statistica

http://www.istat.it/en/

VH United Kingdom. Annual data in Table VH-UK show the strong impact of the global recession in the UK with decline of GDP of 4.3 percent in 2009 after dropping 0.3 percent in 2008. Recovery of 1.9 percent in 2010 is relatively low in comparison with annual growth rates in 2007 and earlier years. Growth was only 1.6 percent in 2011 and 0.7 percent in 2012. Growth increased to 1.7 percent in 2013 and 2.6 percent in 2014. The bottom part of Table VH-UK provides average growth rates of UK GDP since 1948. The UK economy grew at 2.6 percent per year on average between 1948 and 2013, which is relatively high for an advanced economy. The growth rate of GDP between 2000 and 2007 is higher at 2.9 percent. Growth in the current cyclical expansion from 2010 to 2014 has been only at 1.7 percent as advanced economies struggle with weak internal demand and world trade. GDP in 2014 higher by 3.7 percent relative to 2007 while it would have been 22.2 higher at trend of 2.9 percent as from 2000 to 2007.

Table VH-UK, UK, Gross Domestic Product, ∆%

 

∆% on Prior Year

1998

3.5

1999

3.2

2000

3.8

2001

2.7

2002

2.5

2003

4.3

2004

2.5

2005

2.8

2006

3.0

2007

2.6

2008

-0.3

2009

-4.3

2010

1.9

2011

1.6

2012

0.7

2013

1.7

2014

2.6

Average Growth Rates ∆% per Year

 

1948-2014

2.6

1950-1959

3.1

1960-1969

3.1

1970-1979

2.6

1980-1989

3.1

1990-1999

2.2

2000-2007

2.9

2007-2013*

1.1

2007-2014*

3.7

2000-2014

1.7

*Absolute change from 2007 to 2012 an from 2007 to 2013

Source: UK Office for National Statistics

http://www.ons.gov.uk/ons/rel/naa2/second-estimate-of-gdp/q4-2014/index.html

The Business Activity Index of the Markit/CIPS UK Services PMI® decreased from 57.2 in Jan to 56.7 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/55c2dfd969034d85b23cd35747e754c6). Chris Williamson, Chief Economist at Markit, finds the combined indices consistent with the UK economy growing at around 0.6 percent in IQ2015 (http://www.markiteconomics.com/Survey/PressRelease.mvc/55c2dfd969034d85b23cd35747e754c6). The Markit/CIPS UK Manufacturing Purchasing Managers’ Index® (PMI®) increased to 54.1 in Feb from 53.1 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/194fc399a4b94c9a8f8b659e4a221dcd). New export orders weakened. Rob Dobson, Senior Economist at Markit that compiles the Markit/CIPS Manufacturing PMI®, finds that manufacturing conditions suggest growth at a quarterly rate of 0.5 percent (http://www.markiteconomics.com/Survey/PressRelease.mvc/194fc399a4b94c9a8f8b659e4a221dcd). Table UK provides the economic indicators for the United Kingdom.

Table UK, UK Economic Indicators

CPI

Jan month ∆%: -0.9
Dec 12-month ∆%: 0.3
Blog 2/22/15

Output/Input Prices

Output Prices: Jan 12-month NSA ∆%: -1.8; excluding food, petroleum ∆%: 0.5
Input Prices: Dec 12-month NSA
∆%: -14.2
Excluding ∆%: -2.9
Blog 2/22/15

GDP Growth

IVQ2014 prior quarter ∆% 0.5; year earlier same quarter ∆%: 2.7
Blog 3/31/13 4/28/13 5/26/13 7/28/13 8/25/13 9/29/13 10/27/13 12/1/13 12/22/13 2/2/14 3/2/14 4/6/14 5/4/14 5/25/14 6/29/14 7/27/14 8/17/14 10/5/14 10/26/14 11/30/14 12/28/14 2/1/15 3/1/15

Industrial Production

Dec 2014/Dec 2013 ∆%: Production Industries 0.5; Manufacturing 2.4
Blog 2/15/15

Retail Sales

Jan month ∆%: -0.3
Jan 12-month ∆%: 5.4
Blog 2/22/15

Labor Market

Oct-Dec Unemployment Rate: 5.7%; Claimant Count 2.5%; Earnings Growth 2.1%
Blog 2/22/15 LMGDP 11/16/14

GDP and the Labor Market

IIIQ2014 Weekly Hours 103.4, GDP 103.3, Employment 103.7

IQ2008 =100

GDP IIIQ14 103.3 IQ2008=100

Blog 11/16/14

Trade Balance

Balance SA Aug minus ₤2895 million
Exports Dec ∆%: -0.2; Oct-Dec ∆%: -0.1
Imports Dec ∆%: -2.2 Oct-Dec ∆%: -2.2
Blog 2/15/15

Links to blog comments in Table UK:

3/1/15 http://cmpassocregulationblog.blogspot.com/2015/03/irrational-exuberance-mediocre-cyclical.html

2/22/15 http://cmpassocregulationblog.blogspot.com/2015/02/world-financial-turbulence-squeeze-of.html

2/15/15 http://cmpassocregulationblog.blogspot.com/2015/02/g20-monetary-policy-recovery-without.html

2/1/15 http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html

12/28/14 http://cmpassocregulationblog.blogspot.com/2014/12/valuations-of-risk-financial-assets.html

11/30/14 http://cmpassocregulationblog.blogspot.com/2014/11/valuations-of-risk-financial-assets.html

11/16/14 http://cmpassocregulationblog.blogspot.com/2014/11/fluctuating-financial-variables.html

10/26/14 http://cmpassocregulationblog.blogspot.com/2014/10/financial-oscillations-world-inflation.html

10/5/14 http://cmpassocregulationblog.blogspot.com/2014/10/world-financial-turbulence-twenty-seven.html

8/17/2014 http://cmpassocregulationblog.blogspot.com/2014/08/weakening-world-economic-growth.html

7/27/14 http://cmpassocregulationblog.blogspot.com/2014/07/world-inflation-waves-united-states.html

6/29/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-indecision-mediocre-cyclical.html

5/25/14 http://cmpassocregulationblog.blogspot.com/2014/05/united-states-commercial-banks-assets.html

5/4/2014 http://cmpassocregulationblog.blogspot.com/2014/05/financial-volatility-mediocre-cyclical.html

4/6/14 http://cmpassocregulationblog.blogspot.com/2014/04/interest-rate-risks-twenty-eight.html

3/2/14 http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html

2/2/14 http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html

12/22/13 http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html

12/1/13 http://cmpassocregulationblog.blogspot.com/2013/12/exit-risks-of-zero-interest-rates-world.html

10/27/13 http://cmpassocregulationblog.blogspot.com/2013/10/twenty-eight-million-unemployed-or.html

9/29/13 http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html

8/25/13 http://cmpassocregulationblog.blogspot.com/2013/08/interest-rate-risks-duration-dumping.html

7/28/13 http://cmpassocregulationblog.blogspot.com/2013/07/duration-dumping-steepening-yield-curve.html

5/26/13 http://cmpassocregulationblog.blogspot.com/2013/05/united-states-commercial-banks-assets.html

4/28/13 http://cmpassocregulationblog.blogspot.com/2013/04/mediocre-and-decelerating-united-states_28.html

03/31/13 http://cmpassocregulationblog.blogspot.com/2013/04/mediocre-and-decelerating-united-states.html

© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014, 2015.

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