Random effects GLS regression Group variable: code R-sq: within = 0.1147 between = 0.9307 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) = 82.15 Prob> chi2 = 0.0000 | |||
zscore | Coef. | St Error | z | P > |z| | [95% Conf. Interval] |
lccred | 1.626469 | 11.2086 | 0.15 | 0.885 | −20.34199 23.59493 |
lpibh | 10.25716 | 3.866431 | 2.65 | 0.008 | 2.679098 17.83523 |
inf | 0.4072033 | 0.4704778 | 0.87 | 0.387 | −0.5149163 1.329323 |
sbg | 2.109747 | 0.417203 | 5.06 | 0.000 | 1.292044 2.92745 |
scc | −2.036125 | 0.2671071 | −7.62 | 0.000 | −2.559645 −1.512605 |
cbsp | 0.416574 | 0.9690129 | 0.43 | 0.667 | −1.482656 2.315804 |
depban | 0.0008002 | 0.0064869 | 0.12 | 0.902 | −0.0119139 0.0135142 |
_cons | −137.4011 | 56.61218 | −2.43 | 0.015 | −248.359 −26.44329 |
sigma_u = 0 sigma_e = 8.9141608 |
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rho = 0 (fraction of variance due to u_i) |
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