<P>路过的各位大侠情关注一下,这里的redundant fixed effect test用在面板数据中,应该怎么看如下的结果呢?</P>
<P>谢谢!</P>
<P>Redundant Fixed Effects Tests <BR>Pool: ACROPLAND_FIXEDE_1 <BR>Test cross-section fixed effects <BR> <BR>Effects Test Statistic d.f. Prob. <BR> <BR>Cross-section F 7907.464969 (30,88) 0.0000<BR>Cross-section Chi-square 979.574454 30 0.0000<BR> <BR> <BR>Cross-section fixed effects test equation: <BR>Dependent Variable: LOG(AGRIAREA?) <BR>Method: Panel Least Squares <BR>Date: 06/25/07 Time: 13:28 <BR>Sample (adjusted): 1999 2002 <BR>Included observations: 4 after adjustments <BR>Cross-sections included: 31 <BR>Total pool (balanced) observations: 124 <BR>White cross-section standard errors &amp; covariance (d.f. corrected) <BR> <BR>Variable Coefficient Std. Error t-Statistic Prob. <BR> <BR>C -9.035292 0.463780 -19.48184 0.0000<BR>RI? -0.020131 0.007720 -2.607529 0.0103<BR>PS3?(-1) -0.003820 0.003828 -0.997839 0.3204<BR>LOG(EMPSHR?) 0.277665 0.009443 29.40523 0.0000<BR>LOG(PCOMP?/AGSHR?) 0.441009 0.029169 15.11886 0.0000<BR>(RI?)*(PS3?(-1)) -0.000105 0.000426 -0.247591 0.8049<BR> <BR>R-squared 0.353256 Mean dependent var -1.758172<BR>Adjusted R-squared 0.325851 S.D. dependent var 1.107256<BR>S.E. of regression 0.909130 Akaike info criterion 2.694519<BR>Sum squared resid 97.52897 Schwarz criterion 2.830984<BR>Log likelihood -161.0602 F-statistic 12.89045<BR>Durbin-Watson stat 0.029523 Prob(F-statistic) 0.000000<BR> <BR></P>