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这是eviews数据
先是随机效应模型:
Variable Coefficient Std. Error t-Statistic Prob.
C 0.236485 0.019349 12.22215 0.0000
DAR? -0.212178 0.029416 -7.212987 0.0000
ASSET? 0.047814 0.005041 9.484377 0.0000
GROWTH? 0.000571 0.000180 3.171363 0.0015
Effects Specification
S.D. Rho
Cross-section random 0.129770 0.7073
Idiosyncratic random 0.083475 0.2927
Weighted Statistics
R-squared 0.069073 Mean dependent var 0.092989
Adjusted R-squared 0.067387 S.D. dependent var 0.086413
S.E. of regression 0.083451 Sum squared resid 11.53237
F-statistic 40.95736 Durbin-Watson stat 1.435325
Prob(F-statistic) 0.000000
这个是固定效应模型:
Variable Coefficient Std. Error t-Statistic Prob.
C 0.234850 0.029135 8.060804 0.0000
DAR? -0.185629 0.038634 -4.804811 0.0000
ASSET? 0.044697 0.007589 5.890087 0.0000
GROWTH? 0.000610 0.000184 3.312696 0.0010
Effects Specification
Cross-section fixed (dummy variables)
R-squared 0.803705 Mean dependent var 0.303705
Adjusted R-squared 0.737799 S.D. dependent var 0.163020
S.E. of regression 0.083475 Akaike info criterion -1.915012
Sum squared resid 8.654416 Schwarz criterion -0.551583
Log likelihood 2007.460 Hannan-Quinn criter. -1.409661
F-statistic 12.19471 Durbin-Watson stat 1.913883
Prob(F-statistic) 0.000000
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