| Coef | Std. Err | t | P > t | [95% Conf. Interval] | Other statistics | ||
---|---|---|---|---|---|---|---|---|
Model 1A using DKSE when the dependent variable is LNLEXP | ||||||||
 PRUND | -0.00348*** | 0.0008573 | -4.06 | 0.001 | -0.005289 | -0.0016715 | F(5,17) = 435.58 Prob > F = 0.0000 within R2 = 0.6434 | |
 GDPPC | -4.28e-06 | 2.95e-06 | -1.45 | 0.165 | -0.0000105 | 1.95e-06 | ||
 GOVEXP | 0.00474 | 0.0049357 | 0.96 | 0.350 | -0.0056726 | 0.0151541 | ||
 MNSCHOOL | 0.0936*** | 0.004993 | 18.76 | 0.000 | 0.0831156 | 0.1041842 | ||
 URBAN | -0.00011 | 0.0001784 | -0.65 | 0.526 | -0.0004919 | 0.0002609 | ||
 _CONS | 3.7019*** | 0.0371405 | 99.67 | 0.000 | 3.623589 | 3.780308 | ||
Model 1B using DKSE when the dependent variable is LNLEXP | ||||||||
 AVRDES | 0.00317*** | 0.000845 | 3.76 | 0.002 | 0.0013936 | 0.0049593 | F(5,17) = 410.16 Prob > F = 0.0000 within R2 = 0.6295 | |
 GDPPC | -3.81e-06 | 2.78e-06 | -1.37 | 0.188 | -0.0000097 | 0.0000021 | ||
 GOVEXP | 0.00188 | 0.00573 | 0.33 | 0.746 | -0.0102006 | 0.0139790 | ||
 MNSCHOOL | 0.0926*** | 0.005319 | 17.42 | 0.000 | 0.0814219 | 0.1038642 | ||
 URBAN | -0.00011 | 0.000166 | -0.67 | 0.512 | -0.0004620 | 0.0002392 | ||
 _CONS | 3.2941*** | 0.074949 | 43.95 | 0.000 | 3.1360170 | 3.4522750 | ||
Model 1C using the FE model when the dependent variable is LNINFMOR | ||||||||
 PRUND | 0.0119*** | 0.0009722 | 12.29 | 0.000 | 0.010040 | 0.013860 | sigma_u = 0.45608378 sigma_e = 0.10751418 F test that all u_i = 0: F(30, 522) = 164.49 Prob > F = 0.0000 within R2 = 0.6823 | |
 GDPPC | 0.000057*** | 0.0000087 | 6.53 | 0.000 | 0.000040 | 0.000074 | ||
 GOVEXP | -0.0103 | 0.0088257 | -1.17 | 0.241 | -0.027691 | 0.006986 | ||
 MNSCHOOL | -0.2812*** | 0.0110858 | -25.37 | 0.000 | -0.303052 | -0.259495 | ||
 URBAN | 0.00061 | 0.0006116 | 1.00 | 0.316 | -0.000588 | 0.001815 | ||
 _CONS | 4.9049*** | 0.0575012 | 85.30 | 0.000 | 4.791987 | 5.017912 | ||
Model 1D using GMM when the dependent variable is LNINFMOR | ||||||||
 L_LNINFMOR | 32.1844*** | 10.5261 | 3.06 | 0.002 | 11.55363 | 52.81518 | No of instruments = 21, No of groups = 31 AR(1): z = -0.98 Pr > z = 0.326 AR(2): z = -1.02 Pr > z = 0.308 Sargan test of over-identification: Chi2(15) = 4.15 Prob > chi2 = 0.997 Hansen test of over-identification: Chi2(15) = 12.22 Prob > chi2 = 0.662 | |
 AVRDES | -0.0139*** | 0.0052795 | -2.63 | 0.008 | -0.024255 | -0.00356 | ||
 GDPPC | 0.000065 | 0.000082 | 0.8 | 0.424 | -0.0000952 | 0.000226 | ||
 GOVEXP | -0.0891** | 0.0372889 | -2.39 | 0.017 | -0.1622396 | -0.01607 | ||
 MNSCHOOL | -0.1152 | 0.1239816 | -0.93 | 0.352 | -0.3582814 | 0.127717 | ||
 URBAN | 0.0010 | 0.0013938 | 0.75 | 0.454 | -0.0016875 | 0.003776 | ||
Dumitrescu and Hurlin [124] Granger causality test | ||||||||
 Null hypothesis | W-bar | Z-bar | Z-bar tilde | p-value | Decision | |||
 PRUND does not Granger-cause LNLEXP | 17.5322 | 65.0874 | 48.4371 | 0.0000 | PRUND does Granger-cause LNLEXP | |||
 AVRDES does not Granger-cause LNLEXP | 13.2728 | 48.3179 | 35.8304 | 0.0000 | AVRDES does Granger-cause LNLEXP | |||
 PRUND does not Granger-cause LNINFMOR | 5.0078 | 15.7787 | 11.3686 | 0.0000 | PRUND does Granger-cause LNINFMOR | |||
 AVRDES does not Granger-cause LNINFMOR | 5.2776 | 16.8409 | 12.1671 | 0.0000 | AVRDES does Granger-cause LNINFMOR |