Table 15.
Bivariate estimations | Univariate estimations | |||
---|---|---|---|---|
Variables | h : rdeath | w : work | h : rdeath | w : work |
Age | ||||
Age square | ||||
Not French + | ||||
Gender(male) | ||||
Couple | ||||
Male * Couple | ||||
Number of children | ||||
Male * Number of children | ||||
No grade | ||||
College grade | ||||
High school grade | ||||
Undergraduate studies | ||||
Ref : Graduate studies | - | - | - | - |
Male * No grade | ||||
Male * College grade | ||||
Male * High school grade | ||||
Male * Undergraduate studies | ||||
Ref : Male * Graduate studies | - | - | - | - |
Medical density | − | − | ||
Unemployment rate | − | − | ||
Illness before professional life | ||||
Intercept | ||||
λ 11 | - | |||
λ 12 | - | |||
λ 21 | - | |||
λ 22 | - | |||
Covariance matrix | - |
Standard errors are in parenthesis. ***: Significant at 1% level, **: Significant at 5% level. *: Significant at 10% level, +: Refers to the individual’s nationality