Table 3.
Propensity Score Estimation with Probit Regression Model (N = 914).
| Variables | Coefficient | Standard Error | Significance |
|---|---|---|---|
| Youth | |||
| Male | −0.11 | 0.10 | |
| Age | 0.46 | 0.04 | *** |
| Family Context | |||
| Monthly income (unit: 100 Chilean pesos) | −0.05 | 0.12 | |
| Monthly income (squared) | 0.01 | 0.01 | |
| Less than middle school a | 0.10 | 0.33 | |
| Middle school to less than high school a | −0.14 | 0.28 | |
| High school a | 0.17 | 0.27 | |
| Married | 0.01 | 0.10 | |
| Number of drinks consumed in the past 30 days | 0.00 | 0.00 | |
| Social Context | |||
| Neighborhood danger and drugs | 0.58 | 0.24 | * |
| Neighborhood danger and drugs (squared) | −0.07 | 0.04 | † |
| Advertisement on newspapers/magazines (low exposure) b | −0.27 | 0.14 | † |
| Advertisement on newspapers/magazines (moderate exposure) b | −0.01 | 0.12 | |
| Advertisement on television (low exposure) c | −0.20 | 0.14 | |
| Advertisement on television (moderate exposure) c | −0.06 | 0.12 | |
| Constant | −6.79 | 0.75 | *** |
*** p < 0.001; ** p < 0.01; * p < 0.05; † p < 0.1; a Reference group is some college or more; b Reference group is advertisement on newspapers/magazines (high exposure); c Reference group is advertisement on television (high exposure).