Table 3 OLS analysis and quantile regression estimation for model 2 (Internet usage)

 Father’s education

−0.168

−0.163

−0.264

−0.138

−0.118

−0.143

(0.132)

(0.149)

(0.163)

(0.188)

(0.238)

(0.310)

 SRH-16

−0.437***

−0.443***

− 0.451***

−0.526***

− 0.640***

−0.666***

(0.055)

(0.062)

(0.070)

(0.083)

(0.099)

(0.128)

 Education

−0.734***

−0.722***

− 0.874***

−1.120***

−1.660***

−0.803*

(0.175)

(0.238)

(0.255)

(0.376)

(0.311)

(0.421)

 Income

−0.685***

−0.642***

− 0.752***

−0.894***

−1.130***

−1.300***

(0.048)

(0.057)

(0.061)

(0.077)

(0.090)

(0.114)

 Hukou

−0.137

−0.154

−0.238

− 0.266

−0.082

0.256

(0.181)

(0.201)

(0.215)

(0.242)

(0.329)

(0.407)

 Internet usage

−5.800**

−3.500*

−4.690***

−9.620***

−9.370**

−12.40***

(2.890)

(2.070)

(1.680)

(2.910)

(4.140)

(3.890)

 Age

0.014*

0.008

0.011

0.009

0.013

0.033*

(0.007)

(0.008)

(0.009)

(0.011)

(0.013)

(0.017)

 Gender

−1.330***

−1.290***

−1.360***

−1.970***

−2.190***

−2.790***

(0.133)

(0.158)

(0.175)

(0.213)

(0.250)

(0.315)

 Marital

−1.410***

−1.400***

− 1.610***

−1.970***

−2.050***

− 2.520***

(0.161)

(0.212)

(0.235)

(0.307)

(0.290)

(0.414)

 Internet usage * education

0.556

−1.460***

−0.142

0.765

4.570***

4.640*

(2.400)

(0.546)

(0.719)

(1.230)

(1.450)

(2.620)

 Internet usage * income

0.502**

0.472**

0.431**

0.816***

0.473

0.824*

(0.206)

(0.211)

(0.179)

(0.271)

(0.439)

(0.449)

 Internet usage * hukou

−0.760*

−0.550

−0.440

−0.369

−1.020

−2.680**

(0.454)

(0.449)

(0.375)

(0.625)

(0.798)

(1.100)

 Constant

16.500***

15.200***

18.000***

22.100***

27.200***

31.200***

(0.753)

(0.900)

(0.951)

(1.210)

(1.400)

(1.760)

 Observations

8853

8853

8853

8853

8853

8853

 R²

0.110

 Pseudo R²

0.595

0.596

0.595

0.607

0.601