Does income have a non-linear impact on residents鈥� BMI? Re-examining the obesity Kuznets curve

Table 9 Heterogeneity analysis: education level

听	(1)	(2)	(3)
	BMI	BMI	BMI
	Primary school and below	Junior high/middle school and high school	College and above
Income	3.333^***	0.952^*	0.128
Income	(0.859)	(0.495)	(0.644)
Income_sq	-0.418^***	-0.110^**	-0.023
Income_sq	(0.116)	(0.053)	(0.045)
Controls	Yes	Yes	Yes
Year dummy	Yes	Yes	Yes
Provincial dummy	Yes	Yes	Yes
Constant	14.641^***	14.967^***	15.066^***
Constant	(1.160)	(0.966)	(2.012)
Observations	36,055	37,644	8414
P-value of Income	0.001		听
P-value of Income_sq	0.001		听

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

ISSN: 1471-2458