Table 4.

Regression output

 Fixed effectRandom effect
(Using agriculture as Independent variable)
Intercept396.6540 (1.796517)***307.7913 (1.556819)
Agri.7.185283 (9.827981)*7.646616 (14.60471)*
Adjusted R Square0.8476690.851132
F Statistics71.48539*218.2601*
Durbin–Watson0.5266200.531685
Hausman Testχ2 = 0.817358 
(Using MSE as independent variable)
Intercept−2.116224 (−0.010655)95.10725 (0.567560)
MSE8.669518 (12.636050)*8.196735 (18.24406)*
Adjusted R Square0.8970410.899178
F Statistics111.3592*399.9013*
Durbin–Watson0.8188270.740222
Hausman Testχ2 = 0.831527 
(Using Priority Others as Independent variable)
Intercept−3.325999 (0.9914)87.08348 (0.354617)
OTH22.31668 (7.711896)*21.18573 (11.96724)*
Adjusted R Square0.7878220.794245
F Statistics48.03164*147.6854
Durbin–Watson0.4947110.451562
Hausman Testχ2 = 0.244090 

Notes:

Levels of significance at 1, 5 and 10% are indicated by the symbols *, ** and ***, respectively. Values for the T-statistic are in parenthesis

Source: Authors’ calculation and compilation based on data collected from RBI Database

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