Table 5 Estimates of health and job status interactions. Part B: the initial conditions
Bivariate estimations | Univariate estimations | |||
|---|---|---|---|---|
Variables | h : Illness | w : work | h : Illness | w : work |
Age | \(\underset {(0.0899)}{-0.0012}\) | \(\underset {(0.0428)}{0.0806^{*}}\) | \(\underset {(0.0686)}{0.0221}\) | \(\underset {(0.0426)}{0.0848^{**}}\) |
Age square | \(\underset {(0.0022)}{-0.0001}\) | \(\underset {(0.001)}{-0.0012}\) | \(\underset {(0.0017)}{-0.0009}\) | \(\underset {(0.001)}{-0.0013}\) |
Not French + | \(\underset {(0.1022)}{-0.2236^{**}}\) | \(\underset {(0.0443)}{-0.45^{***}}\) | \(\underset {(0.078)}{-0.202^{**}}\) | \(\underset {(0.0442)}{-0.4486^{***}}\) |
Gender(male) | \(\underset {(0.165)}{-0.1136}\) | \(\underset {(0.0922)}{-0.3121^{***}}\) | \(\underset {(0.1215)}{0.0108}\) | \(\underset {(0.092)}{-0.3264^{***}}\) |
Couple | \(\underset {(0.0958)}{-0.0242}\) | \(\underset {(0.056)}{-0.0243}\) | \(\underset {(0.0732)}{-0.011}\) | \(\underset {(0.0558)}{-0.0244}\) |
Male * Couple | \(\underset {(0.1705)}{0.1825}\) | \(\underset {(0.1051)}{0.519^{***}}\) | \(\underset {(0.127)}{0.1618}\) | \(\underset {(0.1051)}{0.5179^{***}}\) |
Number of children | \(\underset {(0.164)}{-0.0384}\) | \(\underset {(0.0753)}{-0.6685^{***}}\) | \(\underset {(0.122)}{0.0338}\) | \(\underset {(0.0752)}{-0.6732^{***}}\) |
Male * Number of children | \(\underset {(0.2873)}{0.0417}\) | \(\underset {(0.1456)}{0.4619^{***}}\) | \(\underset {(0.2071)}{-0.0673}\) | \(\underset {(0.1454)}{0.4731^{***}}\) |
No grade | \(\underset {(0.1991)}{0.2148}\) | \(\underset {(0.1028)}{-1.035^{***}}\) | \(\underset {(0.1539)}{0.1209}\) | \(\underset {(0.1025)}{-1.0383^{***}}\) |
College grade | \(\underset {(0.1384)}{0.1299}\) | \(\underset {(0.0788)}{-0.3124^{***}}\) | \(\underset {(0.1041)}{0.0861}\) | \(\underset {(0.0787)}{-0.3074^{***}}\) |
High school grade | \(\underset {(0.1421)}{0.1154}\) | \(\underset {(0.0807)}{-0.2995^{***}}\) | \(\underset {(0.1076)}{0.0476}\) | \(\underset {(0.0806)}{-0.2958^{***}}\) |
Undergraduate studies | \(\underset {(0.1448)}{0.062}\) | \(\underset {(0.0932)}{0.1695^{*}}\) | \(\underset {(0.1085)}{0.0797}\) | \(\underset {(0.0931)}{0.1698^{*}}\) |
Ref : Graduate studies | - | - | - | - |
Male * No grade | \(\underset {(0.2647)}{-0.0197}\) | \(\underset {(0.1366)}{1.1132^{***}}\) | \(\underset {(0.2025)}{-0.1556}\) | \(\underset {(0.1361)}{1.1343^{***}}\) |
Male * College grade | \(\underset {(0.1792)}{-0.1164}\) | \(\underset {(0.0998)}{0.5157^{***}}\) | \(\underset {(0.1331)}{-0.2098}\) | \(\underset {(0.0997)}{0.5252^{***}}\) |
Male * High school grade | \(\underset {(0.2178)}{-0.4229^{*}}\) | \(\underset {(0.1134)}{0.1922^{*}}\) | \(\underset {(0.1615)}{-0.3716^{**}}\) | \(\underset {(0.1133)}{0.2008^{*}}\) |
Male * Undergraduate studies | \(\underset {(0.2403)}{-0.3887}\) | \(\underset {(0.1317)}{-0.331^{**}}\) | \(\underset {(0.1759)}{-0.3672^{**}}\) | \(\underset {(0.1316)}{-0.3314^{**}}\) |
Ref : Male * Graduate studies | - | - | - | - |
Medical density | \(\underset {(0.0008)}{0.0009}\) | − | \(\underset {(0.0006)}{0.0027^{***}}\) | − |
Unemployment rate | − | \(\underset {(0.0048)}{0.0001}\) | − | \(\underset {(0.0046)}{-0.0031}\) |
Illness before professional life | \(\underset {(0.0124)}{0.3626^{***}}\) | \(\underset {(0.0048)}{-0.0023}\) | \(\underset {(0.009)}{0.3473^{***}}\) | \(\underset {(0.0045)}{-0.0028}\) |
Intercept | \(\underset {(0.9148)}{-1.693^{*}}\) | \(\underset {(0.4399)}{0.217}\) | \(\underset {(0.704)}{-2.2141^{***}}\) | \(\underset {(0.4377)}{0.2683}\) |
λ 11 | \(\underset {(0.0633)}{1.2011^{***}}\) | - | ||
λ 12 | \(\underset {(0.0567)}{0.3897^{***}}\) | - | ||
λ 21 | - | \(\underset {(0.0296)}{0.0233}\) | ||
λ 22 | - | \(\underset {(0.0264)}{0.0737^{***}}\) | ||
Covariance matrix | \(\rho _{\epsilon } = \underset {(0.0461)}{0.0185}\) | - | ||