Table 15 Estimates of health and job status interactions. Part B: the initial conditions

Age

\(\underset {(0.1769)}{0.1328}\)

\(\underset {(0.0433)}{0.0808^{*}}\)

\(\underset {(0.1691)}{0.1306}\)

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

Age square

\(\underset {(0.0042)}{-0.003}\)

\(\underset {(0.0011)}{-0.0012}\)

\(\underset {(0.004)}{-0.0029}\)

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

Not French ⁺

\(\underset {(0.2722)}{-0.5346^{*}}\)

\(\underset {(0.0446)}{-0.4653^{***}}\)

\(\underset {(0.2552)}{-0.4894^{*}}\)

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

Gender(male)

\(\underset {(0.2569)}{-0.008}\)

\(\underset {(0.0933)}{-0.3^{***}}\)

\(\underset {(0.2444)}{-0.037}\)

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

Couple

\(\underset {(0.156)}{-0.0629}\)

\(\underset {(0.0565)}{-0.0209}\)

\(\underset {(0.1472)}{-0.01}\)

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

Male * Couple

\(\underset {(0.2616)}{0.2684}\)

\(\underset {(0.106)}{0.5006^{***}}\)

\(\underset {(0.2493)}{0.1961}\)

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

Number of children

\(\underset {(0.2928)}{-0.0773}\)

\(\underset {(0.0761)}{-0.6625^{***}}\)

\(\underset {(0.2743)}{-0.0694}\)

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

Male * Number of children

\(\underset {(171.3052)}{-3.4294}\)

\(\underset {(0.1475)}{0.442^{***}}\)

\(\underset {(0)}{0^{***}}\)

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

No grade

\(\underset {(0.2863)}{0.4708}\)

\(\underset {(0.1035)}{-0.995^{***}}\)

\(\underset {(0.278)}{0.446}\)

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

College grade

\(\underset {(0.2251)}{0.0628}\)

\(\underset {(0.0795)}{-0.2944^{***}}\)

\(\underset {(0.2154)}{0.0935}\)

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

High school grade

\(\underset {(0.2227)}{0.0513}\)

\(\underset {(0.0814)}{-0.2885^{***}}\)

\(\underset {(0.2138)}{0.0653}\)

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

Undergraduate studies

\(\underset {(0.2422)}{-0.083}\)

\(\underset {(0.0942)}{0.1787^{*}}\)

\(\underset {(0.2305)}{-0.0627}\)

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

Ref : Graduate studies

-

-

-

-

Male * No grade

\(\underset {(0.4161)}{-0.3545}\)

\(\underset {(0.1378)}{1.0946^{***}}\)

\(\underset {(0.4134)}{-0.3361}\)

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

Male * College grade

\(\underset {(0.2849)}{-0.0068}\)

\(\underset {(0.1009)}{0.4915^{***}}\)

\(\underset {(0.2723)}{-0.0121}\)

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

Male * High school grade

\(\underset {(0.3535)}{-0.3165}\)

\(\underset {(0.1145)}{0.1914^{*}}\)

\(\underset {(0.3406)}{-0.304}\)

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

Male * Undergraduate studies

\(\underset {(0.3775)}{-0.0238}\)

\(\underset {(0.1332)}{-0.3359^{**}}\)

\(\underset {(0.3606)}{-0.0475}\)

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

Ref : Male * Graduate studies

-

-

-

-

Medical density

\(\underset {(0.0013)}{0.0028^{**}}\)

−

\(\underset {(0.0012)}{0.0016}\)

−

Unemployment rate

−

\(\underset {(0.005)}{-0.0064}\)

−

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

Illness before professional life

\(\underset {(0.0067)}{0.0754^{***}}\)

\(\underset {(0.0046)}{-0.001}\)

\(\underset {(0.0063)}{0.0725^{***}}\)

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

Intercept

\(\underset {(1.8164)}{-4.7064^{**}}\)

\(\underset {(0.4432)}{0.134}\)

\(\underset {(1.7456)}{-4.3378^{**}}\)

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

λ ₁₁

\(\underset {(0.2998)}{1.6027^{***}}\)

-

λ ₁₂

\(\underset {(0.0635)}{0.2177^{***}}\)

-

λ ₂₁

-

\(\underset {(0.1524)}{-1.1728^{***}}\)

λ ₂₂

-

\(\underset {(0.0223)}{0.0398^{***}}\)

Covariance matrix

\(\rho _{\epsilon } = \underset {(0.0719)}{-0.0692}\)

-