Random-effects GLS regression Number of obs = 225
Group variable: id Number of groups = 25
R-sq: within = 0.4480 Obs per group: min = 9
between = 0.8410 avg = 9.0
overall = 0.8148 max = 9
Random effects u_i ~ Gaussian Wald chi2(4) = 253.97
corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.0000
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logx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
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loggdpe | 1.024947 .0960404 10.67 0.000 .8367113 1.213183
loggdpj | 4.732004 1.233198 3.84 0.000 2.31498 7.149028
logd | 1.25787 2.061201 0.61 0.542 -2.782009 5.297749
eue | -.0132673 .0484616 -0.27 0.784 -.1082503 .0817156
_cons | -38.14418 11.60943 -3.29 0.001 -60.89824 -15.39013
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sigma_u | .33474387
sigma_e | .14927964
rho | .83411668 (fraction of variance due to u_i)
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