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Table 6 Second generation unit root

From: Assessing the determinants of government spending efficiency in Africa

(A) Maddala and Wu (1999) Panel unit root test (MW)

Variable

Specification

Without

Trend

 

Lags

chi_sq

p-value

EFF

0

360.302

0.000

EFF

1

205.637

0.000

GOV

0

86.715

0.285

GOV

1

78.748

0.519

GDP

0

34.452

1.000

GDP

1

51.178

0.995

RENT

0

94.817

0.123

RENT

1

105.556

0.029

COR

0

107.788

0.021

COR

1

139.188

0.000

EFFE

0

134.466

0.000

EFFE

1

208.649

0.000

COL

0

0.000

1.000

COL

1

0.000

1.000

DUM_RE

0

0.000

1.000

DUM_RE

1

0.000

1.000

Variable

Specification

With

Trend

 

Lags

chi_sq

p-value

EFF

0

92.931

0.153

EFF

1

71.653

0.736

GOV

0

89.110

0.228

GOV

1

102.225

0.048

GDP

0

73.624

0.679

GDP

1

55.412

0.984

RENT

0

61.635

0.937

RENT

1

93.721

0.140

COR

0

68.298

0.822

COR

1

107.732

0.021

EFFE

0

110.489

0.014

EFFE

1

172.627

0.000

COL

0

0.000

1.000

COL

1

0.000

1.000

DUM_RE

0

0.000

1.000

DUM_RE

1

0.000

1.000

(B) Peseran (2007) Panel unit root test (CIPS)

Variable

Specification

Without

Trend

 

Lags

Zt-bar

p-value

t-bar

EFF

0

− 4.427

0.000

 

EFF

1

− 3.855

0.000

 

GOV

0

0.854

0.803

 

GOV

1

1.423

0.923

 

GDP

0

1.204

0.886

 

GDP

1

0.916

0.820

 

RENT

0

− 2.732

0.003

 

RENT

1

− 2.868

0.002

 

COR

0

0.399

0.655

 

COR

1

− 0.321

0.374

 

EFFE

0

− 2.724

0.003

 

EFFE

1

− 2.438

0.007

 

COL

0

28.493

1.000

 

COL

1

28.493

1.000

 

DUM_RE

0

28.493

1.000

 

DUM_RE

1

28.493

1.000

 

Variable

Specification

With

Trend

t-bar

 

Lags

Zt-bar

p-value

 

EFF

0

− 3.154

0.001

 

EFF

1

− 2.693

0.004

 

GOV

0

− 0.406

0.343

 

GOV

1

− 0.291

0.385

 

GDP

0

− 3.421

0.000

 

GDP

1

− 4.396

0.000

 

RENT

0

1.011

0.844

 

RENT

1

− 0.070

0.472

 

COR

0

2.451

0.993

 

COR

1

2.050

0.980

 

EFFE

0

− 1.729

0.042

 

EFFE

1

− 0.863

0.194

 

COL

0

27.270

1.000

 

COL

1

27.270

1.000

 

DUM_RE

0

27.270

1.000

 

DUM_RE

1

27.270

1.000

 
  1. Null for MW and CIPS tests: series is I(1)
  2. MW test assumes cross-sectional independence
  3. CIPS test assumes cross-sectional dependence is in form of a single unobserved common factor. -multipurt- uses Scott Merryman's -xtfisher- and Piotr Lewandowski's -pescadf-
  4. GOV government spending, GDP size of an economy, RENT resources rent, COR control of corruption, EFFE government effectiveness, COL colonial legacy, DUM_RE dummy variable, EFF efficiency