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21

8Appendix

AData and Summary Statistics

Table A.1: Data sources.

Variable

Source

De…nition

Remark

 

 

 

 

Investment

HA

Gross Fixed Capital Formation

CP, SA

GDP

HA

Gross Domestic Product

CP, SA

Cost of capital

HA

Ratio investment / GDP de‡ator

CP, SA

Equity

HA / GFD*

Composite Index

De‡ated

Credit

IMF code SAP

Claims on Private Sector

De‡ated

Lending rate

IMF code IP**

Lending rate

De‡ated

 

 

 

 

Notes: * for Argentina, Chile, Colombia, Croatia, Czech Republic, Hong Kong, Israel, Korea, Peru, Philippines, Russia, Singapore, South Africa; ** interbank rate for Romania and Turkey.

In the source section, HA stands for Haver Analytics, GFD for Global Financial Database, IMF for International Monetary Fund IFS statistics, CP means constant price, SA means seasonally adjusted, and De‡ated means de‡ated using the GDP de‡ator.

Table A.2: Annual average change in log series.

 

Variable

Obs

Mean

Std. Dev.

Min

Max

 

 

 

 

 

 

 

 

 

 

 

 

Investment

1469

0.0552

0.1268

-0.8383

0.4051

GDP

1469

0.0450

0.0374

-0.1652

0.1594

Cost of capital

1469

-0.0081

0.0418

-0.2123

0.2377

Equity

1469

0.0714

0.3411

-2.5877

1.4276

Credit

1469

0.0922

0.1355

-0.4754

0.6037

Lending rate

1469

-0.1284

2.9841

-101.8218

1.6363

 

 

 

 

 

 

22

Table A.3: Sample period and number of observations per country.

Country

Obs

Sample period

 

 

 

Argentina

55

1995:1-2008:3

Brazil

43

1998:1-2008:3

Bulgaria

28

2001:4-2008:3

Chile

67

1992:1-2008:3

China

43

1997:2-2007:4

Colombia

51

1996:1-2008:3

Croatia

27

2002:1-2008:3

Czech Republic

43

1998:1-2008:2

Estonia

44

1997:2-2008:1

Hong Kong

68

1991:4-2008:3

Hungary

47

1997:1-2008:3

India

42

1998:2-2008:3

Indonesia

30

2001:2-2008:3

Israel

47

1997:1-2008:3

Korea

74

1990:2-2008:3

Latvia

31

2001:1-2008:3

Lithuania

31

2001:1-2008:3

Malaysia

46

1997:2-2008:3

Mexico

57

1994:3-2008:3

Peru

71

1991:1-2008:3

Philippines

71

1990:2-2007:4

Poland

36

1998:1-2006:4

Romania

27

2002:1-2008:3

Russia

47

1997:1-2008:3

Singapore

71

1990:2-2007:4

Slovakia

42

1998:2-2008:3

Slovenia

36

1998:1-2006:4

South Africa

74

1990:2-2008:3

Taiwan

27

2002:1-2008:3

Thailand

55

1995:1-2008:3

Turkey

38

1999:1-2008:3

 

 

 

23

Table A.4: Annual average change in log series.

Investment GDP Cost of capital Equity Credit Lending rate

All

0.0552

0.0450

-0.0081

0.0714

0.0922

-0.1284

Asia

0.0383

0.0466

-0.0011

0.0254

0.0615

-0.0027

Latin America

0.0547

0.0384

-0.0077

0.1039

0.0598

-0.5192

Emerging Europe

0.0817

0.0524

-0.0161

0.1039

0.1620

-0.0173

Other

0.0390

0.0337

-0.0098

0.0643

0.0712

-0.0059

Argentina

0.0404

0.0303

0.0028

0.0643

0.0001

-0.0068

Brazil

0.0302

0.0300

0.0068

0.0940

0.0382

-0.0285

Bulgaria

0.1573

0.0586

-0.0097

0.3059

0.2963

-0.0068

Chile

0.0866

0.0546

-0.0265

0.0777

0.0956

0.0005

China

0.0387

0.0188

0.0000

0.0235

0.0420

-0.0033

Colombia

0.0326

0.0319

-0.0145

0.0923

0.0477

-0.0116

Croatia

0.1013

0.0446

-0.0062

0.1627

0.1308

-0.0035

Czech Republic

0.0316

0.0352

-0.0167

0.0678

0.0032

-0.0010

Estonia

0.1126

0.0695

-0.0288

0.1006

0.2127

0.0038

Hong Kong

0.0347

0.0403

-0.0092

0.0932

0.0405

0.0005

Hungary

0.0510

0.0384

-0.0173

0.0843

0.1381

-0.0048

India

0.1044

0.0689

0.0036

0.0865

0.1363

-0.0002

Indonesia

0.0690

0.0509

0.0184

0.1170

0.0862

-0.0132

Israel

0.0129

0.0372

0.0033

0.1113

0.0688

-0.0043

Korea

0.0456

0.0547

0.0019

-0.0069

0.0992

0.0000

Latvia

0.1156

0.0753

-0.0082

0.0823

0.2845

-0.0154

Lithuania

0.1234

0.0738

-0.0072

0.1538

0.2660

-0.0178

Malaysia

-0.0016

0.0447

-0.0173

-0.0393

0.0158

-0.0111

Mexico

0.0434

0.0288

-0.0057

0.0592

-0.0058

-0.0062

Peru

0.0753

0.0470

-0.0038

0.2094

0.1468

-2.4804

Philippines

0.0256

0.0371

-0.0106

-0.0057

0.0547

-0.0024

Poland

0.0374

0.0385

-0.0417

0.0701

0.0912

-0.0090

Romania

0.1454

0.0621

-0.0105

0.1910

0.3046

-0.0194

Russia

0.0816

0.0535

-0.0204

0.0137

0.1849

-0.0985

Singapore

0.0616

0.0652

-0.0140

0.0478

0.0718

-0.0012

Slovakia

0.0323

0.0499

-0.0084

0.0498

0.0231

-0.0095

Slovenia

0.0591

0.0410

-0.0077

0.1002

0.1409

-0.0077

South Africa

0.0463

0.0268

-0.0138

0.0384

0.0502

0.0003

Taiwan

0.0291

0.0450

0.0284

0.0828

0.0558

-0.0007

Thailand

-0.0099

0.0361

0.0174

-0.0727

0.0177

-0.0026

Turkey

0.0572

0.0429

-0.0183

0.0563

0.1153

-0.0197

 

 

 

 

 

 

 

24

Table A.5: Correlation coe¢ cients.

 

Investment

GDP

Cost of capital

Equity

Credit

Lending rate

 

 

 

 

 

 

 

Investment

1.0000

 

 

 

 

 

GDP

0.7597

1.0000

 

 

 

 

Cost of capital

-0.2825

-0.2287

1.0000

 

 

 

Equity

0.2587

0.2624

-0.0075

1.0000

 

 

Credit

0.4359

0.4424

-0.1815

0.0892

1.0000

 

Lending rate

-0.2429

-0.2174

0.0752

0.0410

0.1772

1.0000

Note: All series are in log di¤erences.

Table A.6: Panel Unit Root Test Results.

 

Investment

GDP

Cost of capital

Equity

Credit

Lending rate

 

 

 

 

 

 

 

Levin, Lin Chu t-stat

-4.9499

-4.9035

-6.8433

-4.9035

-2.4534

-114.736

p-value

0.0000

0.0000

0.0000

0.0000

0.0071

0.0000

Im, Pesaran and Shin W-stat

-8.1168

-8.512

-11.8380

-8.5123

-6.2376

-43.6758

p-value

0.0000

0.0000

0.0000

0.0000

0.0000

0.0000

Note: All series are in log di¤erences.

25

26

Table A.7: Ratio of investment to GDP.

Date

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Argentina

 

 

 

19.0

19.9

17.9

18.1

19.4

19.9

18.0

16.2

14.1

11.9

15.1

19.2

21.4

23.3

24.2

Brazil

 

 

 

 

20.9

18.4

16.9

17.4

17.0

15.7

16.8

17.0

16.4

15.3

16.1

15.9

16.7

17.8

Bulgaria

 

 

 

 

14.3

15.3

13.0

11.3

13.0

15.0

15.7

18.2

18.2

19.3

20.5

24.1

25.9

29.8

Chile

23.8

20.7

23.2

25.9

24.4

25.2

26.4

26.9

25.8

20.5

20.2

21.1

20.5

20.2

19.3

21.2

19.5

20.6

China

21.4

23.0

26.4

30.9

29.6

28.3

27.8

27.3

28.3

28.7

29.4

29.7

31.1

33.6

34.8

35.1

34.9

34.3

Colombia

 

 

 

 

27.8

28.3

24.4

22.8

21.6

14.1

15.7

16.7

17.1

18.9

20.0

21.6

24.3

24.9

Croatia

 

 

 

 

 

 

 

24.2

23.3

23.3

21.8

22.3

24.3

28.5

28.2

28.1

29.8

30.0

Czech Republic

 

 

 

 

 

31.5

32.1

30.0

28.2

27.0

28.0

28.0

27.5

26.7

25.8

24.9

24.6

24.1

Estonia

 

 

 

 

 

27.0

26.5

28.2

30.5

24.7

26.0

26.6

29.7

31.7

31.0

30.7

33.8

32.5

Hong Kong

26.1

26.2

27.0

26.9

29.2

30.0

30.8

33.1

30.0

25.7

26.4

25.6

22.4

21.2

21.3

20.9

21.8

20.3

Hungary

 

 

 

 

 

20.0

21.4

22.4

23.8

24.4

23.8

23.6

23.3

22.2

22.5

22.9

21.2

21.1

India

 

 

 

 

 

 

 

25.4

24.6

25.4

25.1

25.3

25.8

26.4

30.0

33.1

35.0

37.1

Indonesia

 

 

 

 

 

 

 

 

 

 

19.8

19.7

19.4

19.5

22.4

23.6

24.1

24.8

Israel

 

 

 

 

 

23.7

23.7

22.6

20.6

20.2

18.7

17.8

17.3

16.6

16.5

16.4

17.1

18.7

Korea

37.0

38.9

36.9

36.3

36.4

37.3

37.5

35.6

30.3

29.7

31.1

29.5

29.1

29.9

29.5

29.3

29.0

28.8

Latvia

 

 

11.9

13.6

14.7

13.5

16.4

16.9

24.7

23.0

24.2

24.8

23.8

24.4

27.5

30.6

32.6

32.3

Lithuania

 

 

 

24.6

20.6

21.0

21.1

22.6

24.0

22.0

18.8

20.2

20.3

21.1

22.3

22.7

25.2

28.0

Malaysia

 

 

 

 

 

 

42.5

43.2

26.8

21.9

25.3

25.1

23.5

22.4

21.0

20.5

20.8

21.7

Mexico

 

 

 

18.6

19.3

16.2

17.8

19.4

20.9

21.2

21.4

20.0

19.3

18.9

19.6

19.3

20.4

20.8

Peru

19.9

17.1

17.3

19.4

22.2

24.8

22.8

24.1

23.6

21.1

20.1

18.8

18.4

18.4

18.1

17.8

20.0

22.9

Philippines

23.1

20.1

20.9

23.7

23.6

22.2

23.4

24.4

21.2

19.1

21.2

17.9

17.6

16.8

16.1

14.4

14.0

14.8

Poland

 

 

 

 

 

 

29.1

28.7

28.0

26.8

24.9

20.6

18.4

18.2

19.1

18.2

19.5

22.0

Romania

 

 

 

 

 

 

 

21.0

18.3

18.1

18.9

20.7

21.3

21.4

21.9

23.0

25.6

30.4

Russia

 

 

 

21.7

22.2

20.8

20.0

18.3

16.3

14.4

16.8

18.9

17.9

18.4

18.4

17.7

18.4

21.0

Slovakia

 

 

 

29.9

26.6

26.0

32.6

34.9

36.3

30.0

25.7

28.5

27.3

24.8

23.9

26.5

26.4

26.1

Slovenia

 

 

 

 

 

20.9

21.8

23.1

24.2

26.5

26.5

25.0

23.4

24.4

25.5

25.7

26.7

28.1

South Africa

19.2

17.2

15.7

14.7

15.1

15.9

16.3

16.5

17.1

15.5

15.1

15.1

15.0

15.9

16.2

17.1

18.9

21.1

Taiwan

22.3

22.1

23.9

25.0

24.4

24.8

22.4

22.7

23.7

23.1

23.9

19.4

18.6

18.6

21.9

21.3

21.3

21.2

Thailand

 

 

 

39.5

39.7

41.0

41.1

33.9

22.4

20.9

22.0

23.0

22.9

24.1

26.0

29.0

28.2

26.4

Turkey

 

 

 

 

 

 

 

 

23.0

19.0

20.4

16.1

16.7

17.0

20.3

21.0

22.3

21.6

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Most Recent Working Paper

 

 

NIPE WP

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outcomes: evidence from a pivotal voter model”, 200 9

NIPE WP

Alexandre, Fernando, Pedro Bação, João Cerejeira e Miguel Portela, “Employment and

16/2009

exchange rates: the role of openness and”, 2009.

NIPE WP

Girante, Maria Joana, Barry K. Goodwin e Allen Featherstone, “ Wealth, Debt,

15/2009

Government Payments, and Yield”, 2009

NIPE WP

Girante, Maria Joana e Barry K. Goodwin, “ The Acreage and Borrowing Effects of Direct

14/2009

Payments Under Uncertainty: A Simulation Approach”, 2009

NIPE WP

Alexandre, Fernando, Pedro Bação, João Cerejeira e Miguel Portela, “Aggregate and

13/2009

sector-specific exchange rate indexes for the Portuguese economy”, 2009.

NIPE WP

Sousa, Ricardo M.“Wealth Effetcs on Consumption: Evidence from the e uro area ”, 2009

12/2009

 

NIPE WP

Agnello, Luca e Ricardo M. Sousa, “The Determinants of Public Deficit Volatility”, 20 09

11/2009

 

NIPE WP

Afonso, Óscar e Maria Thompson, “Costly Investment, Complementarities and the Skill

10/2009

Premium”, 2009

NIPE WP

Gabriel,Vasco J. e Pataaree Sangduan, “Assessing Fiscal Sustainability Subject to Policy

9/2009

Changes: A Markov Switching Cointegration Approach” , 2009

NIPE WP

Aguiar-Conraria, Luís e Maria Joana Soares, “Business Cycle Synchronization Across the

8/2009

Euro-Area: a Wavelet Analysis”, 2009

NIPE WP

Afonso, António, Luca Agnello, Davide Furceri e Ric ardo M. Sousa “Assessing Long-Term

7/2009

Fiscal Developments: a New Approach”, 2009

NIPE WP

Furceri, Davide e Ricardo M. Sousa, “The Impact of Government Spending on the Private

6/2009

Sector: Crowding-out versus Crowding-in Effects”, 2 009

NIPE WP

Esteves, Rosa Branca, “A Survey on the Economics of Behaviour-Based Pric e

5/2009

Discrimination”, 2009

NIPE WP

Peltonen, Tuomas A., Ricardo M. Sousa e Isabel S. Vansteenkiste, “Wealth Effects in

4/2009

Emerging Market Economies”, 2009

NIPE WP

Afonso, António e Ricardo M. Sousa, “The Macroeconomic Effects of Fiscal Policy in

3/2009

Portugal: a Bayesian SVAR Analysis”, 2009

NIPE WP

Bastos, Paulo e Natália P. Monteir, “Managers and wage policies”, 2009

2/2009

 

NIPE WP

Afonso, António e Ricardo M. Sousa , " Assessing Long-Term Fiscal Developments: Evidence

1/2009

from Portugal ", 2009

NIPE WP

Afonso, António e Ricardo M. Sousa , "The Macroeconomic Effects of Fiscal Policy", 2008

22/2008

 

NIPE WP

Afonso, António e Ricardo M. Sousa , "Fiscal Policy, Housing and Stock Prices", 2008

21/2008

 

NIPE WP

Magalhães, Pedro C., Luís Aguiar -Conraria, "Growth, Centrism and Semi-Presidentialism:

20/2008

Forecasting the Portuguese General Elections", 2008

NIPE WP

Castro, Vítor, “Are Central Banks following a linear or nonlinear (augmented) Taylor rule?”,

19/2008

2008

NIPE WP

Castro, Vítor, “The duration of economic expansions and recessions : More than duration

18/2008

dependence”, 2008

NIPE WP

Holmås, Tor Helg e, Egil Kjerstad, Hilde Lurås and Odd Rune Straume, “Does monetary

17/2008

punishment crowd out pro-social motivation? The case of hospital bed-blocking”, 2008.

NIPE WP

Alexandre, Fernando, Miguel Portela and Carla Sá “Admission conditions and graduates’

16/2008

employability”, 2008.

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