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. 2019 Mar 14;114(6):1076–1085. doi: 10.1111/add.14577

Table 4.

Logistic model of the probability of smoking with type of policies: marginal effects (ME).a

(1) (2) (3)
Variables ME (95% CI) ME (95% CI) ME (95% CI)
TCS price −0.419** (−0.657, −0.180) −0.463** (−0.725, −0.201) −0.636** (−0.998, −0.275)
TCS smoke‐free −0.275** (−0.469, −0.081) −0.270* (−0.513, −0.026) −0.243* (−0.445, −0.041)
TCS other 0.057 (−0.212, 0.327) 0.198+ (−0.029, 0.426) 0.094 (−0.099, 0.289)
Age (years) −0.914**(−1.038, −0.789) −0.908** (−1.037, −0.784)
Female −4.873**(−7.029, −2.716) −4.878** (−7.033, −2.722)
Educational level
Base category: none or primary
Secondary 3.449* (0.742, 6.157) 3.368* (0.593, 6.143)
Tertiary −1.363 (−4.007, 1.280) −1.396 (−4.192, 1.400)
Wave fixed‐effects Included Included
Country fixed‐effects Included
Observations 30 682 30 176 30 176

95% Confidence intervals (CI) in brackets. TCS = Tobacco Control Scale.

**

P < 0.01,

*

P < 0.05,

+

P < 0.1. Clustered standard errors at individual‐level.

a

Marginal effects can be interpreted as how much the probability of smoking varies (in percentage points) when the explanatory variable increases by 1 unit.