Table 5.
Estimates of a series of two-level Poisson’s regression models for completed fertility as function of women’s education, macro-variables and interaction between gender-equality norms and policy variables
| Variables | Models | ||||
|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | |
| Educational level | |||||
| Low | 0.094*** | 0.094*** | 0.094*** | 0.094*** | 0.095*** |
| Medium (ref.) | |||||
| High | −0.041*** | −0.041*** | −0.041*** | −0.041*** | −0.041*** |
| Gender-equality norms | 0.009*** | 0.009*** | 0.009** | 0.008** | 0.009*** |
| Family allowances | 0.755 | ||||
| ×Gender equality | 0.077 | ||||
| Weighted leave weeks | 0.001 | ||||
| ×Gender equality | 0.000 | ||||
| Childcare coverage | 0.002 | ||||
| ×Gender equality | −0.000 | ||||
| Men working hours | 0.001 | ||||
| ×Gender equality | −0.001 | ||||
| Women part-time work | 0.004 | ||||
| ×Gender equality | −0.000 | ||||
| Constant | −3.177*** | −3.177*** | −3.169*** | −3.183*** | −3.179*** |
| Var(country) | −2.610*** | −2.566*** | −2.592*** | −2.544*** | −2.611*** |
In each model, we include education levels (medium is the reference), gender-equality norms, one of the macro-variable at time and its interaction with gender-equality norms (in italic). All macro-level variables are mean centered. Var(country) indicates the variance of the random effect at the second level (country)
+ p < 0.10; * p < 0.05; ** p < 0.01; *** p < 0.001