|
e(n_avg) = 13.595238; you may want to consider the pairwise option)
Prais-Winsten regression, correlated panels corrected standard errors (PCSEs)
Group variable: countryid Number of obs = 1142
Time variable: year Number of groups = 84
Panels: correlated (unbalanced) Obs per group: min = 4
Autocorrelation: panel-specific AR(1) avg = 13.59524
Sigma computed by casewise selection max = 18
Estimated covariances = 3570 R-squared = 0.2660
Estimated autocorrelations = 84 Wald chi2(20) = 562.50
Estimated coefficients = 22 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
| Panel-corrected
project_co~t | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
pct_muslims | 9.362804 13.83313 0.68 0.499 -17.74963 36.47524
oil_exports | -.0000558 .0000663 -0.84 0.400 -.0001859 .0000742
post_coldwar | 27.6301 17.21862 1.60 0.109 -6.117769 61.37797
l_life_exp~t | -4.12229 1.45427 -2.83 0.005 -6.972607 -1.271974
l_phones | -.0743813 .0474177 -1.57 0.117 -.1673183 .0185556
l_inf_mort | -.1555719 .4059195 -0.38 0.702 -.9511594 .6400157
l_physicians | -10.50319 3.78933 -2.77 0.006 -17.93014 -3.076239
l_fert_rate | -15.90308 4.661451 -3.41 0.001 -25.03935 -6.766801
l_i_gdpGDP_gr~h | .2805091 .2004002 1.40 0.162 -.1122682 .6732863
l_i_export~p | -.236023 .3318841 -0.71 0.477 -.8865039 .414458
l_i_trade_~p | .0736052 .1531605 0.48 0.631 -.2265839 .3737942
l_i_gdpGDP~1995 | .0006346 .0009898 0.64 0.521 -.0013054 .0025746
l_i_pub_ed~p | -.1035884 .4818099 -0.21 0.830 -1.047918 .8407416
l_i_hth_exp | 4.011675 2.475939 1.62 0.105 -.8410751 8.864426
l_i_schl_p~m | -.062554 .1480006 -0.42 0.673 -.3526298 .2275218
l_i_imm_dp~e | .2223411 .2667245 0.83 0.405 -.3004293 .7451116
l_i_illit_~e | -.162225 .3125881 -0.52 0.604 -.7748864 .4504364
population | 3.16e-08 4.66e-08 0.68 0.498 -5.97e-08 1.23e-07
gdp GDP | 8.77e-11 5.45e-11 1.61 0.108 -1.92e-11 1.94e-10
l_i_calories | -50.62196 29.0112 -1.74 0.081 -107.4829 6.238957
l_i_potwat | .0500879 .4082161 0.12 0.902 -.7500008 .8501767
_cons | 416.7253 134.61 3.10 0.002 152.8945 680.556
------------------------------------------------------------------------------
rhos = .6883241 .4624615 .6537579 .5520581 .9222707 ... .6804153
------------------------------------------------------------------------------
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