Table 3.
Means of explanatory variables in multilevel probit regression model based on the couples’ dataset1
| Female | Male | |||
|---|---|---|---|---|
| N (%) | N (%) | |||
| Urban household | 37,702 | (30.1) | 37,702 | (30.1) |
| Literate | 75,446 | (60.2) | 96,423 | (77.0) |
| Secondary/higher educated | 51,985 | (41.4) | 73,423 | (58.6) |
| No occupation | 61,727 | (49.7) | 5838 | (4.7) |
| White-collar | 4867 | (3.9) | 12,333 | (9.9) |
| Blue-collar | 22,308 | (18.0) | 48,524 | (39.1) |
| Agriculture | 35,342 | (28.5) | 57,325 | (46.2) |
| Mean (std. dev) | Mean (std. dev) | |||
| Age | 37.2 | (8.1) | 37.3 | (8.6) |
| Household size | 5.8 | (2.9) | 5.8 | (2.9) |
| Number of living children | 2.8 | (1.9) | 3.1 | (2.5) |
| N | 125,393 | 125,393 | ||