Table 3:
Parameter Estimates: Smoking Prevalence, Logit
| Full Sample | Sample with History of Smoking | |||||||
|---|---|---|---|---|---|---|---|---|
| Variable | Specification 1 | Specification 2 | Specification 1 | Specification 2 | ||||
| Full ban present | −0.024 | (0.058) | 0.038 | (0.056) | −0.091 | (0.070) | −0.074 | (0.077) |
| Years since full ban implementation | −0.017 | (0.009) ** | −0.019 | (0.008) ** | −0.002 | (0.016) | −0.006 | (0.017) |
| Full Ban x Male | −0.093 | (0.075) | 0.014 | (0.074) | ||||
| Full Ban x Age - 40 | 0.002 | (0.001) *** | 0.003 | (0.002) | ||||
| Full Ban x Normalized Income | −0.080 | (0.019) *** | −0.075 | (0.018) *** | ||||
| Partial ban present | −0.015 | (0.044) | 0.060 | (0.052) | 0.037 | (0.064) | 0.104 | (0.067) |
| Years since partial ban implementation | 0.015 | (0.009) ** | 0.014 | (0.009) * | 0.011 | (0.013) | 0.012 | (0.013) |
| Partial Ban x Male | −0.170 | (0.063) *** | −0.155 | (0.061) ** | ||||
| Partial Ban x Age - 40 | 0.004 | (0.002) ** | 0.003 | (0.002) | ||||
| Partial Ban x Normalized Income | −0.056 | (0.020) ** | −0.065 | (0.019) *** | ||||
| Male | 0.469 | (0.045) *** | 0.543 | (0.058) *** | 0.141 | (0.042) *** | 0.197 | (0.052) *** |
| Age - 40 | −0.010 | (0.001) *** | −0.011 | (0.001) *** | −0.020 | (0.001) *** | −0.021 | (0.001) *** |
| (Age - 40)/10 squared | −0.086 | (0.005) *** | −0.087 | (0.006) *** | −0.075 | (0.005) *** | −0.076 | (0.006) *** |
| Normalized Income | −0.015 | (0.009) | 0.016 | (0.013) | −0.028 | (0.011) ** | 0.005 | (0.014) |
| Year 2009 | −0.094 | (0.029) *** | −0.095 | (0.029) *** | −0.099 | (0.052) * | −0.100 | (0.052) * |
| Year 2013 | −0.208 | (0.060) *** | −0.206 | (0.061) *** | −0.155 | (0.089) * | −0.156 | (0.091) * |
| Constant | −0.698 | (0.045) *** | −0.719 | (0.049) *** | 0.248 | (0.066) *** | 0.242 | (0.065) *** |
| Number of observations | 108,489 | 56,882 | ||||||
Note: Specification 1 measures full and partial ban effects, on average. Specification 2 allows for heterogeneous ban effects by gender, age, and income. Each specification controls for 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 and account for any additional heterogeneity in ban effects.
***
indicates significance at 1% level;
**
5% level;
*
10% level.