Bivariate estimations | Univariate estimations | |||
---|---|---|---|---|
Variables | h : rdeath | w : work | h : rdeath | w : work |
(1) | (2) | (1’) | (2’) | |
h −1 | \(\underset {(0.0417)}{4.8659^{***}}\) | \(\underset {(0.0378)}{-0.4876^{***}}\) | \(\underset {(0.0632)}{4.6729^{***}}\) | \(\underset {(0.0422)}{-0.4136^{***}}\) |
w −1 | \(\underset {(0.0421)}{0.0402}\) | \(\underset {(0.0129)}{2.7146^{***}}\) | \(\underset {(0.0431)}{-0.0012}\) | \(\underset {(0.0137)}{2.716^{***}}\) |
Age | \(\underset {(0.0106)}{0.0108}\) | \(\underset {(0.004)}{0.1068^{***}}\) | \(\underset {(0.011)}{0.0121}\) | \(\underset {(0.0042)}{0.1284^{***}}\) |
Age square | \(\underset {(0.0001)}{0.00003}\) | \(\underset {(0.0001)}{-0.0017^{***}}\) | \(\underset {(0.0001)}{0.00003}\) | \(\underset {(0.0001)}{-0.0018^{***}}\) |
Not French + | \(\underset {(0.0465)}{-0.0829^{*}}\) | \(\underset {(0.0167)}{-0.3221^{***}}\) | \(\underset {(0.0479)}{-0.0806^{*}}\) | \(\underset {(0.0226)}{-0.2342^{***}}\) |
Gender(male) | \(\underset {(0.0938)}{-0.0683}\) | \(\underset {(0.0573)}{0.3407^{***}}\) | \(\underset {(0.0963)}{-0.0673}\) | \(\underset {(0.0544)}{-0.003}\) |
Couple | \(\underset {(0.0421)}{-0.0858^{**}}\) | \(\underset {(0.0173)}{-0.4812^{***}}\) | \(\underset {(0.0434)}{-0.1003^{**}}\) | \(\underset {(0.0185)}{-0.4144^{***}}\) |
Male * Couple | \(\underset {(0.0657)}{0.0035}\) | \(\underset {(0.0309)}{0.7857^{***}}\) | \(\underset {(0.0682)}{0.0211}\) | \(\underset {(0.0323)}{0.6562^{***}}\) |
Number of children | \(\underset {(0.0157)}{0.0119}\) | \(\underset {(0.0063)}{-0.156^{***}}\) | \(\underset {(0.0165)}{0.0056}\) | \(\underset {(0.0074)}{-0.1288^{***}}\) |
Male * Number of children | \(\underset {(0.0229)}{-0.0099}\) | \(\underset {(0.0107)}{0.0254^{**}}\) | \(\underset {(0.0238)}{-0.01}\) | \(\underset {(0.0116)}{0.0234^{**}}\) |
No grade | \(\underset {(0.0818)}{0.0269}\) | \(\underset {(0.0323)}{-0.8172^{***}}\) | \(\underset {(0.0846)}{0.0865}\) | \(\underset {(0.0427)}{-0.5912^{***}}\) |
College grade | \(\underset {(0.0562)}{-0.0158}\) | \(\underset {(0.0255)}{-0.5311^{***}}\) | \(\underset {(0.0589)}{-0.0079}\) | \(\underset {(0.0309)}{-0.2774^{***}}\) |
High school grade | \(\underset {(0.0656)}{0.027}\) | \(\underset {(0.0296)}{-0.3582^{***}}\) | \(\underset {(0.069)}{0.0264}\) | \(\underset {(0.036)}{-0.1875^{***}}\) |
Undergraduate studies | \(\underset {(0.0758)}{0.018}\) | \(\underset {(0.0345)}{-0.1903^{***}}\) | \(\underset {(0.0781)}{0.0353}\) | \(\underset {(0.041)}{-0.1193^{***}}\) |
Ref : Graduate studies | - | - | - | - |
Male * No grade | \(\underset {(0.1209)}{0.1659}\) | \(\underset {(0.0654)}{-0.2214^{***}}\) | \(\underset {(0.1252)}{0.1253}\) | \(\underset {(0.0715)}{0.1816^{**}}\) |
Male * College grade | \(\underset {(0.0891)}{0.0857}\) | \(\underset {(0.0557)}{-0.0569}\) | \(\underset {(0.0917)}{0.081}\) | \(\underset {(0.0545)}{0.1199^{**}}\) |
Male * High school grade | \(\underset {(0.1037)}{0.1492}\) | \(\underset {(0.0647)}{-0.0928}\) | \(\underset {(0.108)}{0.1343}\) | \(\underset {(0.0653)}{0.0419}\) |
Male * Undergraduate studies | \(\underset {(0.1292)}{-0.0181}\) | \(\underset {(0.0853)}{0.1564^{*}}\) | \(\underset {(0.1359)}{-0.0938}\) | \(\underset {(0.0778)}{0.0993}\) |
Ref : Male * Graduate studies | - | - | - | - |
Medical density | \(\underset {(0.0007)}{0.0011}\) | − | \(\underset {(0.0007)}{0.0009}\) | − |
Unemployment rate | − | \(\underset {(0.0024)}{0.0428^{***}}\) | − | \(\underset {(0.0026)}{-0.0029}\) |
Intercept | \(\underset {(0.1894)}{-3.4328^{***}}\) | \(\underset {(0.0699)}{-3.1154^{***}}\) | \(\underset {(0.2044)}{-3.5479^{***}}\) | \(\underset {(0.072)}{-2.1372^{***}}\) |
Covariance matrix | \(\sigma _{1} = \underset {(0.0013)}{0.1656^{***}}\), \(\sigma _{2} = \underset {(0.0161)}{1.7045^{***}}\) | - | ||
\(\rho _{\eta } = \underset {(0.0062)}{-0.691^{***}}\), \(\rho _{\zeta } = \underset {(0.0394)}{0.0214}\) | - |