Table 2

Regression results of ICT and ICT2 with interaction variables on the Gini coefficient

Dependent variables(1)(2)(3)(4)
Model (3)Model (3)Model (4)Model (4)
GiniGiniGiniGini
ICT70.54***68.68***3.544−14.63**
(17.84)(17.43)(4.282)(7.011)
ICT2 31.80*** 33.20***
 (8.030) (10.24)
HC−0.176**−0.154**−0.212*0.0606
(0.0724)(0.0709)(0.124)(0.148)
lnGRDPPC−1.032−1.911−0.662−1.659
(1.340)(1.328)(1.370)(1.384)
FDI−1.450−1.515−1.308−1.263
(1.217)(1.189)(1.245)(1.226)
Trade−0.189−0.136−0.196−0.181
(0.236)(0.231)(0.242)(0.239)
PCI0.452***0.611***0.01050.00370
(0.126)(0.129)(0.0526)(0.0518)
passengers2.364***2.543***2.456***2.574***
(0.805)(0.787)(0.824)(0.813)
Urban−14.88***−14.24***−14.79***−13.39***
(4.823)(4.714)(4.944)(4.888)
ICT_PCI−1.110***−1.523***  
(0.289)(0.301)  
ICT_HC  −0.0557−0.605**
  (0.201)(0.260)
_cons13.81*11.2639.77***43.55***
(7.543)(7.397)(3.492)(3.631)
N378378378378
R20.2030.2420.1650.192

Note(s): Numbers in bracket indicate standard errors, and asterisk marks with *, ** and *** indicate the estimated coefficients are statistically significant at level of 10, 5 and 1%, respectively

Source(s): Authors’ calculation by STATA

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