Bivariate estimations | Univariate estimations | |||
---|---|---|---|---|
Variables | h : Illness | w : work | h : Illness | w : work |
(1) | (2) | (1’) | (2’) | |
h −1 | \(\underset {(0.0225)}{3.8165^{***}}\) | \(\underset {(0.014)}{-0.2013^{***}}\) | \(\underset {(0.0154)}{4.2519^{***}}\) | \(\underset {(0.0158)}{-0.276^{***}}\) |
w −1 | \(\underset {(0.0239)}{0.2193^{***}}\) | \(\underset {(0.0128)}{2.7189^{***}}\) | \(\underset {(0.0194)}{0.0242}\) | \(\underset {(0.0137)}{2.7158^{***}}\) |
Age | \(\underset {(0.0056)}{0.0338^{***}}\) | \(\underset {(0.004)}{0.1079^{***}}\) | \(\underset {(0.0047)}{-0.0088^{*}}\) | \(\underset {(0.0042)}{0.1297^{***}}\) |
Age square | \(\underset {(0.0001)}{0.00003}\) | \(\underset {(0.0001)}{-0.0017^{***}}\) | \(\underset {(0.0001)}{0.0003^{***}}\) | \(\underset {(0.0001)}{-0.0018^{***}}\) |
Not French + | \(\underset {(0.0251)}{-0.0492^{**}}\) | \(\underset {(0.0166)}{-0.3368^{***}}\) | \(\underset {(0.0191)}{-0.0226}\) | \(\underset {(0.0225)}{-0.2434^{***}}\) |
Gender(male) | \(\underset {(0.0583)}{-0.2814^{***}}\) | \(\underset {(0.0543)}{0.2843^{***}}\) | \(\underset {(0.0419)}{-0.081^{*}}\) | \(\underset {(0.0542)}{-0.0194}\) |
Couple | \(\underset {(0.0237)}{-0.0325}\) | \(\underset {(0.0172)}{-0.482^{***}}\) | \(\underset {(0.0196)}{-0.0406^{**}}\) | \(\underset {(0.0185)}{-0.4217^{***}}\) |
Male * Couple | \(\underset {(0.0373)}{0.0391}\) | \(\underset {(0.0307)}{0.7826^{***}}\) | \(\underset {(0.0306)}{0.0305}\) | \(\underset {(0.0324)}{0.6622^{***}}\) |
Number of children | \(\underset {(0.0091)}{0.0363^{***}}\) | \(\underset {(0.0062)}{-0.1554^{***}}\) | \(\underset {(0.0073)}{0.0278^{***}}\) | \(\underset {(0.0074)}{-0.1291^{***}}\) |
Male * Number of children | \(\underset {(0.013)}{-0.007}\) | \(\underset {(0.0106)}{0.0334^{***}}\) | \(\underset {(0.0104)}{-0.0134}\) | \(\underset {(0.0116)}{0.0243^{**}}\) |
No grade | \(\underset {(0.0492)}{0.2883^{***}}\) | \(\underset {(0.032)}{-0.7921^{***}}\) | \(\underset {(0.037)}{0.0844^{**}}\) | \(\underset {(0.0425)}{-0.5771^{***}}\) |
College grade | \(\underset {(0.0345)}{0.2705^{***}}\) | \(\underset {(0.0252)}{-0.5065^{***}}\) | \(\underset {(0.0254)}{0.0698^{***}}\) | \(\underset {(0.0307)}{-0.2658^{***}}\) |
High school grade | \(\underset {(0.0401)}{0.2309^{***}}\) | \(\underset {(0.0293)}{-0.3331^{***}}\) | \(\underset {(0.0298)}{0.0637^{**}}\) | \(\underset {(0.0358)}{-0.1739^{***}}\) |
Undergraduate studies | \(\underset {(0.0459)}{0.0859^{*}}\) | \(\underset {(0.034)}{-0.158^{***}}\) | \(\underset {(0.034)}{0.0218}\) | \(\underset {(0.0408)}{-0.1139^{***}}\) |
Ref : Graduate studies | - | - | - | - |
Male * No grade | \(\underset {(0.0755)}{0.2553^{***}}\) | \(\underset {(0.063)}{-0.1505^{**}}\) | \(\underset {(0.0556)}{0.0746}\) | \(\underset {(0.0712)}{0.1912^{***}}\) |
Male * College grade | \(\underset {(0.0556)}{0.1264^{**}}\) | \(\underset {(0.053)}{-0.0182}\) | \(\underset {(0.0392)}{0.0402}\) | \(\underset {(0.0542)}{0.1243^{**}}\) |
Male * High school grade | \(\underset {(0.0663)}{0.0717}\) | \(\underset {(0.0619)}{-0.0882}\) | \(\underset {(0.0474)}{0.0378}\) | \(\underset {(0.065)}{0.0404}\) |
Male * Undergraduate studies | \(\underset {(0.079)}{0.0048}\) | \(\underset {(0.0789)}{0.1126}\) | \(\underset {(0.0555)}{0.0139}\) | \(\underset {(0.0775)}{0.1028}\) |
Ref : Male * Graduate studies | - | - | - | - |
Medical density | \(\underset {(0.0003)}{-0.0006^{*}}\) | − | \(\underset {(0.0003)}{0.0022^{***}}\) | − |
Unemployment rate | − | \(\underset {(0.0024)}{0.0433^{***}}\) | − | \(\underset {(0.0026)}{-0.0022}\) |
Intercept | \(\underset {(0.0992)}{-2.5964^{***}}\) | \(\underset {(0.0695)}{-3.1624^{***}}\) | \(\underset {(0.0827)}{-2.5882^{***}}\) | \(\underset {(0.072)}{-2.1492^{***}}\) |
Covariance matrix | \(\sigma _{1} = \underset {(0.0184)}{1.371^{***}}\), \(\sigma _{2} = \underset {(0.0161)}{1.7086^{***}}\) | - | ||
\(\rho _{\eta } = \underset {(0.0054)}{-0.8242^{***}}\), \(\rho _{\zeta } = \underset {(0.0176)}{0.0258}\) | - |