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Table 12 Descriptive statistics by urban and rural residence

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

  1. Standard deviations in parentheses
  2. *** p < 0.01, ** p < 0.05, * p < 0.1