如题,回归结果如下:
Fixed-effects (within) regression Number of obs = 5390
Group variable: code Number of groups = 490
R-sq: within = 0.9648 Obs per group: min = 11
between = 0.2465 avg = 11.0
overall = 0.0011 max = 11
F(16,4884) = 8375.66
corr(u_i, Xb) = 0.0272 Prob > F = 0.0000
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y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
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x1| .0004745 .0001831 2.59 0.010 .0001155 .0008335
x2 | -.0001681 .0000715 -2.35 0.019 -.0003084 -.0000279
x3| -.0000511 .0000228 -2.24 0.025 -.0000959 -6.28e-06
x4| .0000301 .0000131 2.29 0.022 4.39e-06 .0000559
x5 | -.000021 9.68e-06 -2.17 0.030 -.00004 -2.04e-06
|
year |
2004 | .0003057 .0000126 24.18 0.000 .000281 .0003305
2005 | .0006061 .0000129 46.99 0.000 .0005808 .0006314
2006 | .0009142 .0000131 69.78 0.000 .0008885 .0009398
2007 | .001215 .0000136 89.44 0.000 .0011883 .0012416
2008 | .0015195 .0000141 107.70 0.000 .0014919 .0015472
2009 | .0018252 .0000143 127.39 0.000 .0017971 .0018533
2010 | .0021311 .0000147 145.06 0.000 .0021023 .00216
2011 | .0024309 .0000154 158.07 0.000 .0024007 .002461
2012 | .0027343 .0000157 173.98 0.000 .0027035 .0027652
2013 | .0030395 .0000159 190.90 0.000 .0030083 .0030707
|
_cons | .2827137 .0001507 1876.21 0.000 .2824183 .2830091
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