用面板数据回归模型时,在固定效应输出窗口中进行F检验后,F检验的下面出现了新的固定效应的回归结果,和之前的不一样,到底以哪个为准呢?
Dependent Variable: LNSMOKE?
Method: Pooled EGLS (Cross-section weights)
Date: 09/26/10 Time: 17:30
Sample (adjusted): 2001 2006
Included observations: 6 after adjustments
Cross-sections included: 30
Total pool (balanced) observations: 180
Iterate coefficients after one-step weighting matrix
Convergence achieved after 12 total coef iterations
Variable Coefficient Std. Error t-Statistic Prob.
C 12.24410 0.020164 607.2283 0.0000
DLNEDU? -0.118406 0.047695 -2.482570 0.0142
DLNSCI?(-1) 0.078297 0.018017 4.345825 0.0000
DLNEDU?(-1) -0.243724 0.051277 -4.753119 0.0000
DLNEDU?(-2) -0.357171 0.077462 -4.610942 0.0000
DLNGOV?(-2) 0.232135 0.073315 3.166268 0.0019
AR(1) 0.466449 0.052718 8.847966 0.0000
上面的是初始的固定效应模型,下面是F检验的结果:
Redundant Fixed Effects Tests
Pool: SMOKE
Test cross-section fixed effects
Effects Test st d.f. prob
Cross-section F 43.651737 (29,144) 0. 00
接着有:
Cross-section fixed effects test equation:
Dependent Variable: LNSMOKE?
Method: Panel EGLS (Cross-section weights)
Date: 09/26/10 Time: 17:58
Sample (adjusted): 2001 2006
Included observations: 6 after adjustments
Cross-sections included: 30
Total pool (balanced) observations: 180 s
se pre-specified GLS weights
Convergence achieved after 9 total coef iterations
Variable Coefficient Std. Error t-Statistic Prob.
C 12.13240 0.150030 80.86625 0.0000
DLNEDU? -0.219731 0.078828 -2.787456 0.0059
DLNSCI?(-1) -0.007215 0.062036 -0.116298 0.9076
DLNEDU?(-1) -0.223520 0.093221 -2.397734 0.0176
DLNEDU?(-2) -0.873100 0.129039 -6.766197 0.0000
DLNGOV?(-2) 0.628100 0.141376 4.442751 0.0000
AR(1) 0.927017 0.025412 36.47961 0.0000
Weighted Statistics
R-squared 0.885232 Mean dependent var 28.28588
Adjusted R-squared 0.881251 S.D. dependent var 26.47571
S.E. of regression 0.347575 Sum squared resid 20.89987
F-statistic 222.3978 Durbin-Watson stat 1.838411
Prob(F-statistic) 0.000000
两部分红色字体部分不一致,pooled EGLS和panle EGLS有什么区别呢?由于两部分的参数检验结果不一致,影响最终结果,所以迫切想知道到底该以那个结果为准,望高手指教。


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