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Table 7 Heterogeneity analysis: gender and residence

From: Does income have a non-linear impact on residents’ BMI? Re-examining the obesity Kuznets curve

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(1)

(2)

(3)

(4)

BMI

BMI

BMI

BMI

Female

Male

Rural

Urban

Income

1.672***

1.501***

3.348**

0.781**

(0.520)

(0.471)

(1.384)

(0.355)

Income_sq

-0.184***

-0.156***

-0.388**

-0.077**

(0.050)

(0.044)

(0.164)

(0.031)

Controls

Yes

Yes

Yes

Yes

Year FE

Yes

Yes

Yes

Yes

Provincial FE

Yes

Yes

Yes

Yes

Constant

14.665***

16.160***

13.460***

15.477***

(0.728)

(0.904)

(1.821)

(0.774)

Observations

41,329

40,784

43,545

38,568

P-value of Income

0.362

0.000

P-value of Income_sq

0.299

0.000

  1. Note: The results are based on 2SLS estimation. Standard errors clustered at the household level are reported in parentheses. ***, and ** indicate significance at the 1%, and 5% levels. The empirical P-value is used to test the significance of the difference in adjustment coefficients between groups, obtained through 1000 bootstrap replications