Table 3.

Logit estimates: effects of the APPCAP on chronic conditions.

	Air-Pollution-Related Diseases
Variables	Respiratory	Circulatory
Treatment × Post	−0.489 **	−0.239 **
	(0.192)	(0.099)
Age	0.027 ***	0.085 ***
	(0.004)	(0.003)
Male	0.611 ***	−0.179 ***
	(0.111)	(0.065)
Urban	−0.002	−0.003
	(0.100)	(0.057)
Alcohol	−0.319	−0.316 ***
	(0.132)	(0.077)
Tobacco	−0.681	−0.329 ***
	(0.120)	(0.069)
Coal heating	−0.017	−0.020
	(0.187)	(0.092)
Married	−0.151	0.868 ***
	(0.225)	(0.245)
Cohabitating	0.967	0.994 **
	(0.621)	(0.483)
Divorced	0.227	1.122 ***
	(0.403)	(0.322)
Widowed	−0.079	0.583 **
	(0.297)	(0.263)
Employed	−0.091	−0.318 ***
	(0.109)	(0.058)
ln (Annual household income)	0.006	0.007
	(0.010)	(0.005)
Middle/high school	−0.133	0.014
	(0.126)	(0.068)
University or above	−0.053	0.009
	(0.207)	(0.122)
Constant	−6.623 ***	−8.995 ***
	(1.129)	(0.683)
Observations	56,958	56,958
Marginal effects at means for Treatment × Post	−0.499 **	−0.757 **
	(0.196)	(0.312)
Dependent variable mean (×100)	1.44	6.57

Notes: The sample included all respondents in CFPS 2012, 2014, and 2016 in Table 2. The dependent variable was respiratory diseases and circulatory system diseases; if the respondent had suffered from respiratory diseases or circulatory system diseases in the previous six months, then the variable was coded as a dummy variable, respiratory diseases or circulatory system diseases (=1). Treatment × Post is our variable of interest representing difference-in-difference estimates. Weather was controlled for. Administrative divisions and monthly fixed effects are included in the regressions. Clustered standard errors across survey respondents are presented in parentheses. **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.