Table 5.

Effects of workplace CIAL coverage on smoking participation, robustness check

	TUS-CPS				BRFSS
Dependent variable: being a current smoker (1); otherwise (0)
Model	(1)	(2)	(3)	(4)	(5)	(6)	(7)
	State-level CIAL from ANRF	State-level CIAL from ImpacTeen	Probit	2001–2006	State-level CIAL from ANRF	State-level CIAL from ImpacTeen	Probit
CIAL coverage	−0.002 (0.002)	−0.008 (0.007)	−0.017*** (0.006)	−0.025*** (0.009)	−0.004 (0.003)	0.003 (0.011)	−0.023*** (0.008)
Sample size	70,274	70,274	70,256	51,797	257,691	257,691	257,652

Models (1)–(4) use data from TUS-CPS, and Models (5)–(7) use data from BRFSS. These models include a set of variables (state cigarette tax, sex, race, age, education, family income, marital status, year and month fixed effects, county fixed effects, county characteristics, and county time trends). In addition, models (1) and (5) use state-level CIAL coverage from ANRF; models (2) and (6) use state-level CIAL coverage from ImpacTeen; models (3) and (7) are estimated using a probit model instead of linear probability for models; model (4) use data from 2001 to 2006. Sampling weights are applied and robust standard errors clustered at county level are shown in parentheses.

^***Significant at 1% level based on a two-tailed test

^**Significant at 5% level based on a two-tailed test

^*Significant at 10% level based on a two-tailed test