Table 3

Regression results from conditional logit model

	No interaction	Interacted with Tier 2	Interacted with Tier 3	Interacted with Tier 4
Cigarette tier price	−0.095***
	(0.015)
Male		0.653***	0.717***	0.847**
		(0.177)	(0.264)	(0.420)
Age		−0.031***	−0.060***	−0.068***
		(0.006)	(0.006)	(0.007)
Income: ¥1000–2999		0.503***	1.086***	0.931***
		(0.114)	(0.152)	(0.193)
Income: ¥3000–4999		0.757***	1.872***	2.010***
		(0.167)	(0.203)	(0.238)
Income: ≥ ¥5000		1.183***	2.483***	3.073***
		(0.239)	(0.263)	(0.295)
Education: Middle school		0.467***	0.658***	0.430*
		(0.168)	(0.199)	(0.243)
Education: High school		0.545***	0.975***	0.981***
		(0.174)	(0.206)	(0.237)
Education: Beyond secondary		0.879***	1.511***	1.747***
		(0.218)	(0.258)	(0.282)
Cigarette consumption at Wave 1		−0.006	−0.143**	−0.009
		(0.005)	(0.006)	(0.007)
Wave 2		−0.165	−0.034	0.197
		(0.101)	(0.113)	(0.133)
Wave 3		0.006	0.242*	0.645***
		(0.113)	(0.134)	(0.147)
City: Shenyang		−0.186	−0.081	1.426***
		(0.180)	(0.209)	(0.303)
City: Shanghai		0.993***	3.462***	4.502***
		(0.271)	(0.274)	(0.363)
City: Changsha		1.257***	0.336	2.866***
		(0.197)	(0.236)	(0.311)
City: Guangzhou		0.644***	1.810***	1.454***
		(0.208)	(0.225)	(0.358)
City: Yinchuan		1.244***	0.459*	2.942***
		(0.207)	(0.249)	(0.314)
Constant		1.235***	0.832	−0.828
		(0.442)	(0.539)	(0.637)
Number of persons	3477
Number of person-years	8552
Number of observations	34208

Robust standard errors, in parentheses, are clustered at the person level and weighted for survey sampling. The omitted category for categorical variables is: income below ¥1000, primary education and below, Wave 1 and Beijing. The model includes tier-specific constants.
Statistical significance: *p<0.10 **p<0.05 ***p<0.01.