Bivariate estimations | Univariate estimations | |||
---|---|---|---|---|
Variables | h : disab | w : work | h : disab | w : work |
(1) | (2) | (1’) | (2’) | |
h −1 | \(\underset {(0.0408)}{5.0102^{***}}\) | \(\underset {(0.033)}{-0.4482^{***}}\) | \(\underset {(0.0382)}{4.9044^{***}}\) | \(\underset {(0.0373)}{-0.3705^{***}}\) |
w −1 | \(\underset {(0.0418)}{0.0709^{*}}\) | \(\underset {(0.0129)}{2.7106^{***}}\) | \(\underset {(0.041)}{0.034}\) | \(\underset {(0.0137)}{2.716^{***}}\) |
Age | \(\underset {(0.0103)}{0.0067}\) | \(\underset {(0.004)}{0.109^{***}}\) | \(\underset {(0.0102)}{0.0111}\) | \(\underset {(0.0042)}{0.1291^{***}}\) |
Age square | \(\underset {(0.0001)}{-0.000002}\) | \(\underset {(0.0001)}{-0.0017^{***}}\) | \(\underset {(0.0001)}{-0.00005}\) | \(\underset {(0.0001)}{-0.0018^{***}}\) |
Not French + | \(\underset {(0.045)}{-0.0934^{**}}\) | \(\underset {(0.0167)}{-0.3174^{***}}\) | \(\underset {(0.0444)}{-0.099^{**}}\) | \(\underset {(0.0226)}{-0.2362^{***}}\) |
Gender(male) | \(\underset {(0.0974)}{-0.0157}\) | \(\underset {(0.0585)}{0.3627^{***}}\) | \(\underset {(0.0946)}{0.0176}\) | \(\underset {(0.0543)}{-0.0036}\) |
Couple | \(\underset {(0.0444)}{0.0061}\) | \(\underset {(0.0173)}{-0.4767^{***}}\) | \(\underset {(0.0435)}{-0.0048}\) | \(\underset {(0.0185)}{-0.4119^{***}}\) |
Male * Couple | \(\underset {(0.065)}{0.0083}\) | \(\underset {(0.031)}{0.7711^{***}}\) | \(\underset {(0.0642)}{0.0127}\) | \(\underset {(0.0323)}{0.6558^{***}}\) |
Number of children | \(\underset {(0.0155)}{0.0249}\) | \(\underset {(0.0063)}{-0.159^{***}}\) | \(\underset {(0.0154)}{0.0231}\) | \(\underset {(0.0074)}{-0.1291^{***}}\) |
Male * Number of children | \(\underset {(0.0216)}{-0.0215}\) | \(\underset {(0.0108)}{0.0306^{***}}\) | \(\underset {(0.0216)}{-0.0294}\) | \(\underset {(0.0116)}{0.0239^{**}}\) |
No grade | \(\underset {(0.0855)}{0.0599}\) | \(\underset {(0.0324)}{-0.8122^{***}}\) | \(\underset {(0.0837)}{0.1107}\) | \(\underset {(0.0427)}{-0.5876^{***}}\) |
College grade | \(\underset {(0.0602)}{0.0401}\) | \(\underset {(0.0255)}{-0.5298^{***}}\) | \(\underset {(0.0594)}{0.0655}\) | \(\underset {(0.0308)}{-0.2733^{***}}\) |
High school grade | \(\underset {(0.0676)}{0.1093}\) | \(\underset {(0.0296)}{-0.3557^{***}}\) | \(\underset {(0.0675)}{0.1174^{*}}\) | \(\underset {(0.0359)}{-0.1829^{***}}\) |
Undergraduate studies | \(\underset {(0.0787)}{0.0507}\) | \(\underset {(0.0346)}{-0.1874^{***}}\) | \(\underset {(0.0775)}{0.0558}\) | \(\underset {(0.041)}{-0.1138^{***}}\) |
Ref : Graduate studies | - | - | - | - |
Male * No grade | \(\underset {(0.1217)}{0.1847}\) | \(\underset {(0.0663)}{-0.2431^{***}}\) | \(\underset {(0.119)}{0.1406}\) | \(\underset {(0.0714)}{0.1908^{***}}\) |
Male * College grade | \(\underset {(0.0911)}{0.1229}\) | \(\underset {(0.0568)}{-0.0628}\) | \(\underset {(0.0886)}{0.0923}\) | \(\underset {(0.0544)}{0.1234^{**}}\) |
Male * High school grade | \(\underset {(0.1045)}{0.0707}\) | \(\underset {(0.0656)}{-0.1028}\) | \(\underset {(0.1028)}{0.0649}\) | \(\underset {(0.0652)}{0.0414}\) |
Male * Undergraduate studies | \(\underset {(0.1246)}{-0.004}\) | \(\underset {(0.0824)}{2.0291^{***}}\) | \(\underset {(0.1217)}{0.0371}\) | \(\underset {(0.0776)}{0.0984}\) |
Ref : Male * Graduate studies | - | - | - | - |
Medical density | \(\underset {(0.0006)}{0.0021^{***}}\) | − | \(\underset {(0.0006)}{0.0015^{**}}\) | − |
Unemployment rate | − | \(\underset {(0.0024)}{0.0424^{***}}\) | − | \(\underset {(0.0026)}{-0.003}\) |
Intercept | \(\underset {(0.1858)}{-3.5654^{***}}\) | \(\underset {(0.07)}{-3.1519^{***}}\) | \(\underset {(0.1846)}{-3.6125^{***}}\) | \(\underset {(0.072)}{-2.1525^{***}}\) |
Covariance matrix | \(\sigma _{1} = \underset {(0.0013)}{0.1606^{***}}\), \(\sigma _{2} = \underset {(0.016)}{1.6948^{***}}\) | - | ||
\(\rho _{\eta } = \underset {(0.0072)}{-0.628^{***}}\), \(\rho _{\zeta } = \underset {(0.0387)}{0.0337}\) | - |