Correlated Random Effects-Hausman Test
Pool:P1
Test cross-section random effects
Test Summary Chi-Sq. Statistic Chi-Sq.df Prob
Cross-section random 6.672827 7 0.4637
Cross-section effects test comparisons:
Variable Fixed Random Var(Diff.) Prob.
RDS 1.089123 1.864920 0.285049 0.1462
RDS(-1) 0.215631 0.666579 0.118302 0.1898
RDS(-2) -0.046414 0.570829 0.245156 0.2125
ROA 0.420463 0.558179 0.003475 0.0195
TECH 0.020144 -0.011309 0.000820 0.2720
CAPEX -0.168878 -0.168699 0.000242 0.9908
SIZE -0.051592 -0.049723 0.000025 0.7111
Cross-section random effects test equation
Dependent Vaviable:P1
Method :Panel Least Squares
Date :08/18/08 Time:21:58
Sample(adjusted): 2005 2007
Included observations: 3 after adjustments
Cross-Sections included:66
TOtal pool (balanced) observations:198
Coefficient Std.Error t-Statistic Prob
C 1.348246 0.208303 6.472540 0.0000
RDS 1.089123 0.701883 1.551716 0.1233
RDS(-1) 0.215631 0.633167 0.340559 0.7340
RDS(-2) -0.046414 0.705612 -0.065778 0.9477
ROA 0.420463 0.157262 2.673640 0.0085
TECH 0.020144 0.058867 0.342192 0.7328
CAPEX -0.168878 0.051990 -3.248254 0.0015
SIZE -0.051592 0.009770 -5.280929 0.0000
Effects Specification
R-squared 0.882230 Mean dependent var 0.293530
Adjusted R-squared 0.814935 S.D dependent var 0.157350
S.E of regression 0.067789 Akaike info criterion -2.267404
Sum squared resid 0.574424 Schwarz criterion -1.055063
Log likelihood 297.4730 Hannan-Watson stat 1.776688
F-statistic 13.00548 Dubin-Watson stat 2.367504
Prob(F-statistic) 0.000000
这样的结果应采用固定效应模型还是随机效应模型?因初次用面板数据模型,所以不这么懂,帮忙分析一下,尽量详细一点,先谢谢了。
[此贴子已经被作者于2008-8-18 15:16:26编辑过]