From: The effect of Internet use on adolescent nutritional outcomes: evidence from China
BMIZ | Overweight | |||||
---|---|---|---|---|---|---|
Selection | Internet users | Non-users | Selection | Internet users | Non-users | |
(1) | (2) | (3) | (4) | (5) | (6) | |
Age | 0.109*** | − 0.072*** | − 0.111*** | 0.107*** | − 0.091*** | − 0.162*** |
(0.008) | (0.009) | (0.010) | (0.007) | (0.015) | (0.014) | |
Gender | 0.139*** | 0.186*** | 0.209*** | 0.161*** | 0.480*** | 0.455*** |
(0.022) | (0.022) | (0.035) | (0.021) | (0.031) | (0.045) | |
Education | 0.131*** | 0.022*** | − 0.072*** | 0.128*** | 0.029** | − 0.050*** |
(0.008) | (0.008) | (0.010) | (0.008) | (0.014) | (0.015) | |
Exercise | 0.014*** | 0.003 | − 0.028*** | 0.013*** | 0.001 | − 0.024*** |
(0.004) | (0.004) | (0.006) | (0.004) | (0.005) | (0.007) | |
Household size | − 0.020*** | − 0.019*** | 0.013 | − 0.018*** | − 0.025** | 0.015 |
(0.007) | (0.007) | (0.011) | (0.007) | (0.010) | (0.011) | |
Household income | 0.153*** | 0.030** | − 0.029 | 0.152*** | 0.044*** | − 0.030 |
(0.012) | (0.013) | (0.018) | (0.012) | (0.017) | (0.023) | |
Urban | 0.420*** | 0.134*** | − 0.128** | 0.415*** | 0.227*** | − 0.054 |
(0.026) | (0.027) | (0.050) | (0.026) | (0.036) | (0.068) | |
County penetration | 1.143*** | 1.257*** | ||||
(0.076) | (0.079) | |||||
Constant | − 4.076*** | 0.237 | 1.871*** | − 4.155*** | − 0.915*** | 1.628*** |
(0.215) | (0.213) | (0.445) | (0.214) | (0.340) | (0.413) | |
Year | Yes | Yes | Yes | Yes | Yes | Yes |
Province | Yes | Yes | Yes | Yes | Yes | Yes |
\(rho_{1}\) | 0.053*** | 0.499*** | ||||
(0.029) | (0.140) | |||||
\(rho_{0}\) | − 0.563*** | − 0.363*** | ||||
(0.040) | 0.192 | |||||
Log pseudolikelihood | − 41,349.336 | − 16,363.077 | ||||
Wald/LR test of indep. Eqn | chi2(2) = 120.82 Prob > chi2 = 0 | chi2(2) = 10.81 Prob > chi2 = 0.005 | ||||
Observations | 19,317 | 19,317 |