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Table 2 Estimation of Internet use on nutritional outcomes

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

  
  1.  ∗ ∗  ∗, ∗  ∗ and ∗ denote significance at the 1% level, 5% level and 10% level, respectively
  2. Standard errors are presented in parentheses