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Table 2 Full Sample Bootstrap Granger Causality Test Results

From: Income inequality and financial crises: evidence from the bootstrap rolling window

Countries

Null Hypothesis

MWALD

VAR(p + dmax)

Critical Values

1%

5%

10%

Australia

INE CRE

4.140a

2

9.653

4.184

3.431

CRE INE

0.484

2

6.132

3.856

2.577

Canada

INE CRE

9.532c

3

7.594

5.184

4.120

CRE INE

0.005

3

14.635

6.833

4.912

Denmark

INE CRE

2.281

3

14.009

9.438

5.763

CRE INE

7.095b

3

9.594

6.426

4.926

Finland

INE CRE

3.865

3

10.678

6.576

4.571

CRE INE

0.159

3

12.608

6.596

5.622

France

INE CRE

0.391

2

10.039

5.011

3.078

CRE INE

0.250

2

5.554

3.361

2.503

UK

INE CRE

1.102

3

8.151

6.834

4.899

CRE INE

5.777a

3

10.261

7.126

5.345

Japan

INE CRE

17.209b

4

39.079

9.147

6.240

CRE INE

10.059b

4

34.325

9.752

7.645

Norway

INE CRE

0.108

2

8.497

4.236

3.010

CRE INE

0.428

2

5.788

3.852

2.661

Sweden

INE CRE

6.355b

3

8.122

5.507

4.239

CRE INE

3.939

3

11.925

7.378

4.992

US

INE CRE

8.592b

3

10.080

5.103

4.340

CRE INE

0.483

3

9.451

6.420

5.404

  1. Note: a, b and c indicates statistical significance at 10, 5 and 1% level, respectively. Optimum lag lengths are selected with using HJC information criteria