Ó£»¨ÊÓÆµ

Skip to main content

Table 8 Heterogeneity analysis: age

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

Ìý

(1)

(2)

(3)

BMI

BMI

BMI

18–29

29–49

50–65

Income

1.347

0.732*

2.802***

(0.852)

(0.446)

(0.692)

Income_sq

-0.149*

-0.081*

-0.292***

(0.082)

(0.042)

(0.068)

Controls

Yes

Yes

Yes

Year FE

Yes

Yes

Yes

Provincial FE

Yes

Yes

Yes

Constant

18.942***

21.407***

19.442***

(1.561)

(0.867)

(1.105)

Observations

14,883

37,167

30,644

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%, 5%, and 10% levels, respectively. The empirical P-value is used to test the significance of the difference in adjustment coefficients between groups, obtained through 1000 bootstrap replications