. Author manuscript; available in PMC: 2022 Aug 1.

Published in final edited form as: Health Econ. 2021 Apr 29;30(8):1719–1744. doi: 10.1002/hec.4280

Table 5b:

Parameter Estimates: Smoking Quantity, Quantile Regression

	Quantile (Quantity Smoked at each percentile)
Variable	25^th percentile (3)		50^th percentile (8)		75^th percentile (16)
Full ban present	−0.202	(0.176)	−0.153	(0.246)	−0.322	(0.485)
Years since full ban	0.021	(0.024)	−0.017	(0.051)	−0.002	(0.154)
Partial ban present	0.119	(0.115)	0.304	(0.246)	1.108	(0.358)^***
Years since partial ban	0.010	(0.016)	0.036	(0.034)	0.028	(0.062)
Year 2009	−0.099	(0.083)	−0.045	(0.113)	0.022	(0.204)
Year 2013	0.031	(0.110)	−0.095	(0.256)	−0.116	(0.411)
Constant	4.233	(0.250)^***	9.902	(0.632)^***	16.276	(0.699)^***
Number of Observations	30,289

Note: The quantity of cigarettes smoked per day is modeled using a quantile regression. Among the 30,303 smokers in the sample, only 30,289 reported their smoking quantity. Each regression controls for gender, age, age of initiation, income, education, household size, employment, health insurance, body mass, missing indicators (for income, health insurance, body mass) and province indicators. Standard errors (in parentheses) are clustered at the province level.

^***

indicates significance at 1% level;

^**

5% level;

10% level.