Random effects GLS regression Group variable: code R-sq: within = 0.1146 between = 0.9305 overall = 0.5861
corr(u_i, X) = 0 (assumed) |
| Number of obs = 66 Number of groups = 6 Obs per group: min = 11 avg = 11.0 max = 11 Wald chi2(7) = 82.13 Prob> chi2 = 0.0000 | |||
zscore | Coef. | St Error | z | P > |z| | [95% Conf. Interval] |
lccred | 1.279828 | 11.1308 | 0.11 | 0.908 | −20.53614 23.09579 |
lpibh | 10.45743 | 3.167493 | 3.30 | 0.001 | 4.249255 16.6656 |
inf | 0.4040102 | 0.471955 | 0.86 | 0.392 | −0.5210047 1.329025 |
sbg | 2.095647 | 0.4043238 | 5.18 | 0.000 | 1.303187 2.888108 |
scc | −2.039311 | 0.2713009 | −7.52 | 0.000 | −2.571051 −1.507571 |
cbsp | 0.4042753 | 1.038674 | 0.39 | 0.697 | −1.631488 2.440039 |
depban | 0.00074 | 0.0069903 | 0.11 | 0.916 | −0.0129607 0.0144408 |
_cons | −137.2536 | 65.89923 | −2.08 | 0.037 | −266.4137 −8.093448 |
sigma_u = 0 sigma_e = 8.5094533 |
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rho = 0 (fraction of variance due to u_i) |
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