qiangli 发表于 2023-9-10 10:31 
贴出命令和结果让大家看看
. xtreg GVC_POw c.aging##i.devlop aging fdi openness urbanisation avegdp hel rule hc
note: aging omitted because of collinearity.
Random-effects GLS regression Number of obs = 870
Group variable: id Number of groups = 58
R-squared: Obs per group:
Within = 0.0484 min = 15
Between = 0.3992 avg = 15.0
Overall = 0.3552 max = 15
Wald chi2(10) = 76.81
corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.0000
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GVC_POw | Coefficient Std. err. z P>|z| [95% conf. interval]
---------------+----------------------------------------------------------------
aging | -.0196535 .0035017 -5.61 0.000 -.0265168 -.0127903
1.devlop | -.102557 .0531022 -1.93 0.053 -.2066354 .0015214
. xtreg GVC_POw aging fdi openness urbanisation avegdp hel rule hc i.year,fe
Fixed-effects (within) regression Number of obs = 870
Group variable: id Number of groups = 58
R-squared: Obs per group:
Within = 0.0662 min = 15
Between = 0.0043 avg = 15.0
Overall = 0.0045 max = 15
F(22,790) = 2.55
corr(u_i, Xb) = -0.8430 Prob > F = 0.0001
------------------------------------------------------------------------------
GVC_POw | Coefficient Std. err. t P>|t| [95% conf. interval]
-------------+----------------------------------------------------------------
aging | -.00565 .0030597 -1.85 0.065 -.0116562 .0003561
fdi | -.0001536 .0000792 -1.94 0.053 -.000309 1.85e-06
这是代码跑出来的一部分结果,导师让我把t和z统一