From: The effect of Internet use on adolescent nutritional outcomes: evidence from China
Variable | All | Urban | Rural | Difference |
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
Internet | 0.610 | 0.759 | 0.537 | 0.222*** |
(0.488) | (0.428) | (0.499) | (0.007) | |
BMIZ | − 0.357 | − 0.211 | − 0.429 | 0.218*** |
(1.339) | (1.341) | (1.333) | (0.020) | |
Overweight | 0.149 | 0.180 | 0.133 | 0.047*** |
(0.356) | (0.384) | (0.340) | (0.005) | |
Age | 14.137 | 13.978 | 14.216 | − 0.239*** |
(2.826) | (2.846) | (2.813) | (0.043) | |
Gender | 0.525 | 0.528 | 0.524 | 0.005 |
(0.499) | (0.499) | (0.499) | (0.008) | |
Education | 7.491 | 7.756 | 7.360 | 0.396*** |
(2.845) | (2.902) | (2.807) | (0.043) | |
Exercise | 3.280 | 3.535 | 3.154 | 0.381*** |
(3.241) | (3.199) | (3.255) | (0.050) | |
Household size | 4.798 | 4.273 | 5.057 | − 0.784*** |
(1.785) | (1.656) | (1.790) | (0.027) | |
Income | 9.072 | 9.549 | 8.836 | 0.713*** |
(1.135) | (1.108) | (1.072) | (0.017) | |
County penetration | 0.439 | 0.499 | 0.409 | 0.090*** |
(0.270) | (0.248) | (0.275) | (0.004) | |
Observations | 19,317 | 6,377 | 12,940 | 19,317 |