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. 2021 Jun 9;158(3):889–925. doi: 10.1007/s11205-021-02730-7

Table 8.

The combined effects of financial inclusion and mobile use (employing one-year lagged variables)

Variables Dependent: poverty Dependent: Inequality
(71) (72) (73) (74) (75) (76) (77) (78) (79) (80) (81) (82) (83) (84)
FE-GLS FGLS FE-GLS FE-GLS FGLS FE-GLS FE-GLS FE-GLS FE-GLS FE-GLS FGLS FE-GLS FE-GLS FE-GLS
(FI_1 x MOB) t-1 − 0.0451*** − 0.00493***
(0.00896) (0.00126)
(FI_2 x MOV) t-1 − 0.0275*** − 0.00147
(0.00949) (0.00183)
(ATMS x MOB) t-1 − 0.0519*** − 0.00571***
(0.0109) (0.00105)
(DEP1K x MOB) t-1 − 0.0173 0.000743
(0.0121) (0.00179)
(ACC1K x MOB) t-1 − 0.0137** − 0.00482***
(0.00638) (0.00129)
(BOR1K x MOB) t-1 − 0.0573*** -− 0.00102
(0.0136) (0.00158)
(LOANS x MOB) t-1 − 0.0477*** − 0.0107***
(0.00933) (0.00187)
(DEPGDP x MOB) t-1 − 0.0447*** − 0.00761***
(0.00963) (0.00211)
GDPPC − 1.597*** − 0.170 − 1.800*** − 1.677*** − 0.391** − 1.569*** − 1.751*** − 0.164*** − 0.139*** − 0.371*** 0.0134 − 0.355*** − 0.158*** − 0.227***
(0.498) (0.182) (0.421) (0.247) (0.198) (0.204) (0.185) (0.0603) (0.0459) (0.0652) (0.0256) (0.0474) (0.0400) (0.0410)
FEM 0.0754 1.281* 1.689 − 0.0932 1.849** 0.522 0.376 − 0.606*** − 0.229 − 0.177 − 0.260** − 0.409*** − 0.185 − 0.145
(1.515) (0.696) (1.433) (0.749) (0.741) (0.696) (0.674) (0.213) (0.147) (0.222) (0.112) (0.147) (0.136) (0.143)
RURAL 0.936 1.610*** 1.652*** 1.555*** 1.332*** 1.126*** 1.064*** − 0.101 0.0858 − 0.0181 0.0472 − 0.0896 0.0601 0.0599
(0.717) (0.198) (0.513) (0.449) (0.154) (0.331) (0.332) (0.0793) (0.0550) (0.0824) (0.0304) (0.0630) (0.0520) (0.0542)
UNEMP 0.571*** 0.507*** 0.371*** 0.372*** 0.755*** 0.326*** 0.320*** 0.0697*** 0.00958 0.0151 0.0246* − 0.00280 − 0.00246 − 0.00739
(0.172) (0.0939) (0.131) (0.0742) (0.102) (0.0693) (0.0697) (0.0247) (0.0139) (0.0209) (0.0142) (0.0150) (0.0123) (0.0136)
ROL − 0.282 − 0.585*** − 0.403** − 0.551*** − 0.790*** − 0.506*** − 0.511*** 0.0728* 0.0127 0.0681** − 0.00347 0.0607** 0.0171 0.0283
(0.242) (0.130) (0.191) (0.145) (0.144) (0.123) (0.124) (0.0389) (0.0188) (0.0299) (0.0172) (0.0240) (0.0182) (0.0188)
INF − 0.00593 − 0.000326 − 0.00529 − 0.00485 0.00216 − 0.00172 − 0.00262 − 0.000456 − 0.000661 − 0.00224*** − 0.000645 − 0.00207*** − 0.00163*** − 0.00198***
(0.00506) (0.00469) (0.00463) (0.00394) (0.00500) (0.00367) (0.00371) (0.000787) (0.000592) (0.000772) (0.000600) (0.000661) (0.000615) (0.000652)
Constant − 7.428* − 6.784** 4.662***
(3.869) (3.336) (0.564)
Hausman 49.66*** 10.24 17.7** 18.1** 11.2 13.75* 15.60** 49.47*** 14.27** 39.01*** 8.5 38.0*** 17.14** 18.19**
Mod. Wald 10,171*** 613.3*** 444.9*** 837.53*** 931.5*** 615.3*** 573.2*** 897.6*** 3229*** 2772*** 222.5*** 2784*** 3477*** 3394***
Wooldridge 34.91*** 6.26** 12.76*** 5.35** 13.95*** 6.74** 6.05** 2.21 5.58** 3.89* 14.28*** 5.83** 5.68** 6.24**
Wald Chi2 6172*** 355** 10,206*** 24,859*** 809*** 28,509*** 36,058*** 3,590,772*** 4,206,089*** 2,812,511*** 48.57*** 3,895,192*** 5,456,669*** 4,627,209***
Observations 69 129 91 120 100 129 129 69 129 91 120 100 129 129
Countries 8 13 10 12 11 13 13 8 13 10 12 11 13 13

Standard errors in parentheses. *** p < 0.01, ** p < 0.05, * p < 0.01. FE-GLS, Fixed-Effects Generalized Least Squares with country-specific dummy-variables and no intercept; FGLS, Feasible Generalized Least Squares