Table 13 Estimates of health and job status interactions. Part B: the initial conditions

Age

\(\underset {(0.147)}{-0.002}\)

\(\underset {(0.0432)}{0.0786^{*}}\)

\(\underset {(0.1435)}{0.0212}\)

\(\underset {(0.0426)}{0.0848^{**}}\)

Age square

\(\underset {(0.0035)}{0.0007}\)

\(\underset {(0.0011)}{-0.0011}\)

\(\underset {(0.0034)}{0.0001}\)

\(\underset {(0.001)}{-0.0013}\)

Not French ⁺

\(\underset {(0.2391)}{-0.535^{**}}\)

\(\underset {(0.0446)}{-0.4658^{***}}\)

\(\underset {(0.236)}{-0.5691^{**}}\)

\(\underset {(0.0442)}{-0.4486^{***}}\)

Gender(male)

\(\underset {(0.267)}{0.3438}\)

\(\underset {(0.0931)}{-0.2873^{***}}\)

\(\underset {(0.2505)}{0.3607}\)

\(\underset {(0.092)}{-0.3264^{***}}\)

Couple

\(\underset {(0.1613)}{-0.2004}\)

\(\underset {(0.0564)}{-0.0232}\)

\(\underset {(0.1533)}{-0.1646}\)

\(\underset {(0.0558)}{-0.0244}\)

Male * Couple

\(\underset {(0.2818)}{-0.0731}\)

\(\underset {(0.1059)}{0.5143^{***}}\)

\(\underset {(0.2649)}{-0.0802}\)

\(\underset {(0.1051)}{0.5179^{***}}\)

Number of children

\(\underset {(0.2837)}{-0.0196}\)

\(\underset {(0.0759)}{-0.6656^{***}}\)

\(\underset {(0.2812)}{-0.0488}\)

\(\underset {(0.0752)}{-0.6732^{***}}\)

Male * Number of children

\(\underset {(4048.322)}{-4.7589}\)

\(\underset {(0.147)}{0.4375^{***}}\)

−

\(\underset {(0.1454)}{0.4731^{***}}\)

No grade

\(\underset {(0.3068)}{0.7879^{**}}\)

\(\underset {(0.1034)}{-1.0041^{***}}\)

\(\underset {(0.2976)}{0.6897^{**}}\)

\(\underset {(0.1025)}{-1.0383^{***}}\)

College grade

\(\underset {(0.2439)}{0.5246^{**}}\)

\(\underset {(0.0793)}{-0.2972^{***}}\)

\(\underset {(0.2328)}{0.5132^{**}}\)

\(\underset {(0.0787)}{-0.3074^{***}}\)

High school grade

\(\underset {(0.2459)}{0.4477^{*}}\)

\(\underset {(0.0813)}{-0.285^{***}}\)

\(\underset {(0.236)}{0.423^{*}}\)

\(\underset {(0.0806)}{-0.2958^{***}}\)

Undergraduate studies

\(\underset {(0.238)}{0.545^{**}}\)

\(\underset {(0.094)}{0.1818^{*}}\)

\(\underset {(0.2272)}{0.5491^{**}}\)

\(\underset {(0.0931)}{0.1698^{*}}\)

Ref : Graduate studies

-

-

-

-

Male * No grade

\(\underset {(0.3735)}{-0.2022}\)

\(\underset {(0.1375)}{1.0893^{***}}\)

\(\underset {(0.3597)}{-0.1116}\)

\(\underset {(0.1361)}{1.1343^{***}}\)

Male * College grade

\(\underset {(0.2886)}{-0.2293}\)

\(\underset {(0.1006)}{0.4981^{***}}\)

\(\underset {(0.2726)}{-0.2672}\)

\(\underset {(0.0997)}{0.5252^{***}}\)

Male * High school grade

\(\underset {(0.3379)}{-0.4367}\)

\(\underset {(0.1143)}{0.1839}\)

\(\underset {(0.3205)}{-0.4298}\)

\(\underset {(0.1133)}{0.2008^{*}}\)

Male * Undergraduate studies

\(\underset {(0.3568)}{-0.4428}\)

\(\underset {(0.1349)}{-0.2258^{*}}\)

\(\underset {(0.3384)}{-0.5744^{*}}\)

\(\underset {(0.1316)}{-0.3314^{**}}\)

Ref : Male * Graduate studies

-

-

-

-

Medical density

\(\underset {(0.0012)}{0.0026^{**}}\)

−

\(\underset {(0.0011)}{0.001}\)

−

Unemployment rate

−

\(\underset {(0.0049)}{-0.005}\)

−

\(\underset {(0.0046)}{-0.0031}\)

Illness before professional life

\(\underset {(0.0062)}{0.0837^{***}}\)

\(\underset {(0.0046)}{-0.0006}\)

\(\underset {(0.0058)}{0.0823^{***}}\)

\(\underset {(0.0045)}{-0.0028}\)

Intercept

\(\underset {(1.5083)}{-3.8108^{**}}\)

\(\underset {(0.4429)}{0.1529}\)

\(\underset {(1.4725)}{-3.619^{**}}\)

\(\underset {(0.4377)}{0.2683}\)

λ ₁₁

\(\underset {(0.2498)}{1.8216^{***}}\)

-

λ ₁₂

\(\underset {(0.0611)}{0.178^{***}}\)

-

λ ₂₁

-

\(\underset {(0.1439)}{-0.9086^{***}}\)

λ ₂₂

-

\(\underset {(0.0213)}{0.0627^{***}}\)

Covariance matrix

\(\rho _{\epsilon } = \underset {(0.0639)}{-0.0748}\)

-