AN EVALUATION OF WAGNER’S LAW ON PUBLIC EXPENDITURE AND ECONOMIC GROWTH IN NIGERIA (1980 -2011)

DEPARTMENT OF ECONOMICS,
FACULTY OF SOCIAL SCIENCES,
This is a statistical analysis done with an e-view software for economics department
Sources: (i)   CBN Statistical Bulletin Vol. 15 Dec. 2005
       (ii)   International Monetary Fund
       (iii)  International Financial Statistics (CD-ROM, 2005)
(iv)        World Bank Development Indicator, 2004.


Appendix I:

YEAR
RGDPCAP

FDI

GCEXP

INF

EXR

OPEN

1990

1044.14

1003.2

578

13.8

0.7143

0.0303

1991

1236.49

1322.8

631

16

0.6955

0.0361

1992

1272.45

1571.1

798

3.2

0.6579

0.0349

1993

1320.5

1763.7

976

5.4

0.6579

0.0474

1994

1437.47

1812.1

1312

13.4

0.6299

0.0914

1995

1356.89

2287.5

2237

33.9

0.6159

0.1081

1996

1464.07

2339

2585

21.2

0.6265

0.1338

1997

1536.1

2531.4

3827

15.4

0.6466

0.1532

1998

1380.17

2863.2

4999

16.6

0.606

0.1603

1999

1371.7

3153.1

4882

11.8

0.5957

0.02

2000

1405.2

3620.1

5051

9.9

0.5464

0.4211

2001

1000.08

3757.9

6519

20.9

0.61

0.3389

2002
971.28

5382.8

6816

7.7

0.672F 0.2696

2003

882.74

5949.5

7489

23.2

0.7241

0.2701

2004

818.8

6418.3

6925

39.6

0.7649

0.2487

2005

894.97

6804

2342

5.5

0.8938

0.2603

2006

902.8

9313.6

7488

5.4

2.0208

0.2751

2007

882.33

9993.6

2395

10.2

4.0179

0.2104

2008

936.09

11339.2

9253

38.3

4.5367

0.6773

2009

972.97

10899.6

10076

40.9

7.3916

0.6771

2010

1018.53

10436.1

11469

7.5

8.0378

0.679


Sources: (i)   CBN Statistical Bulletin Vol. 15 Dec. 2005
       (ii)   International Monetary Fund
       (iii)  International Financial Statistics (CD-ROM, 2005)
(iv)        World Bank Development Indicator, 2004.


Dependent variable: IgINF
Method: least squares
Date: 15/11/13 Time: 09:34
Sample: 1990 – 2010
Included observations: 21

Variable                                   Coefficient      Std Error         t-statistic          prob

C                                             30.00547         33.35492         0.899581         0.6982
igGgr                                       -1.800293        0.367136         -4.903613        0.3255

R-Squared                              0.693482         Mean Dependent var.             962.7314
Adjusted R-squared               0.567294         S.D. dependent var.                561.6768
S.E of regression                    243.9346         Akaike info criterion                56.73941
Sum squared reside               3258.632         Schwarz criterion                    49.95683
Log likelihood                          - 142.6733       F-statistic                                 26.76783
Durbin – Watson stat              .506348           prob. (f-statistic)                      0.000097

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