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Table 12 Estimates of health and job status interactions. Part A: dynamic equations

From: Health condition and job status interactions: econometric evidence of causality from a French longitudinal survey

 

Bivariate estimations

Univariate estimations

Variables

h : disab

w : work

h : disab

w : work

 

(1)

(2)

(1’)

(2’)

h −1

\(\underset {(0.0408)}{5.0102^{***}}\)

\(\underset {(0.033)}{-0.4482^{***}}\)

\(\underset {(0.0382)}{4.9044^{***}}\)

\(\underset {(0.0373)}{-0.3705^{***}}\)

w −1

\(\underset {(0.0418)}{0.0709^{*}}\)

\(\underset {(0.0129)}{2.7106^{***}}\)

\(\underset {(0.041)}{0.034}\)

\(\underset {(0.0137)}{2.716^{***}}\)

Age

\(\underset {(0.0103)}{0.0067}\)

\(\underset {(0.004)}{0.109^{***}}\)

\(\underset {(0.0102)}{0.0111}\)

\(\underset {(0.0042)}{0.1291^{***}}\)

Age square

\(\underset {(0.0001)}{-0.000002}\)

\(\underset {(0.0001)}{-0.0017^{***}}\)

\(\underset {(0.0001)}{-0.00005}\)

\(\underset {(0.0001)}{-0.0018^{***}}\)

Not French +

\(\underset {(0.045)}{-0.0934^{**}}\)

\(\underset {(0.0167)}{-0.3174^{***}}\)

\(\underset {(0.0444)}{-0.099^{**}}\)

\(\underset {(0.0226)}{-0.2362^{***}}\)

Gender(male)

\(\underset {(0.0974)}{-0.0157}\)

\(\underset {(0.0585)}{0.3627^{***}}\)

\(\underset {(0.0946)}{0.0176}\)

\(\underset {(0.0543)}{-0.0036}\)

Couple

\(\underset {(0.0444)}{0.0061}\)

\(\underset {(0.0173)}{-0.4767^{***}}\)

\(\underset {(0.0435)}{-0.0048}\)

\(\underset {(0.0185)}{-0.4119^{***}}\)

Male * Couple

\(\underset {(0.065)}{0.0083}\)

\(\underset {(0.031)}{0.7711^{***}}\)

\(\underset {(0.0642)}{0.0127}\)

\(\underset {(0.0323)}{0.6558^{***}}\)

Number of children

\(\underset {(0.0155)}{0.0249}\)

\(\underset {(0.0063)}{-0.159^{***}}\)

\(\underset {(0.0154)}{0.0231}\)

\(\underset {(0.0074)}{-0.1291^{***}}\)

Male * Number of children

\(\underset {(0.0216)}{-0.0215}\)

\(\underset {(0.0108)}{0.0306^{***}}\)

\(\underset {(0.0216)}{-0.0294}\)

\(\underset {(0.0116)}{0.0239^{**}}\)

No grade

\(\underset {(0.0855)}{0.0599}\)

\(\underset {(0.0324)}{-0.8122^{***}}\)

\(\underset {(0.0837)}{0.1107}\)

\(\underset {(0.0427)}{-0.5876^{***}}\)

College grade

\(\underset {(0.0602)}{0.0401}\)

\(\underset {(0.0255)}{-0.5298^{***}}\)

\(\underset {(0.0594)}{0.0655}\)

\(\underset {(0.0308)}{-0.2733^{***}}\)

High school grade

\(\underset {(0.0676)}{0.1093}\)

\(\underset {(0.0296)}{-0.3557^{***}}\)

\(\underset {(0.0675)}{0.1174^{*}}\)

\(\underset {(0.0359)}{-0.1829^{***}}\)

Undergraduate studies

\(\underset {(0.0787)}{0.0507}\)

\(\underset {(0.0346)}{-0.1874^{***}}\)

\(\underset {(0.0775)}{0.0558}\)

\(\underset {(0.041)}{-0.1138^{***}}\)

Ref : Graduate studies

-

-

-

-

Male * No grade

\(\underset {(0.1217)}{0.1847}\)

\(\underset {(0.0663)}{-0.2431^{***}}\)

\(\underset {(0.119)}{0.1406}\)

\(\underset {(0.0714)}{0.1908^{***}}\)

Male * College grade

\(\underset {(0.0911)}{0.1229}\)

\(\underset {(0.0568)}{-0.0628}\)

\(\underset {(0.0886)}{0.0923}\)

\(\underset {(0.0544)}{0.1234^{**}}\)

Male * High school grade

\(\underset {(0.1045)}{0.0707}\)

\(\underset {(0.0656)}{-0.1028}\)

\(\underset {(0.1028)}{0.0649}\)

\(\underset {(0.0652)}{0.0414}\)

Male * Undergraduate studies

\(\underset {(0.1246)}{-0.004}\)

\(\underset {(0.0824)}{2.0291^{***}}\)

\(\underset {(0.1217)}{0.0371}\)

\(\underset {(0.0776)}{0.0984}\)

Ref : Male * Graduate studies

-

-

-

-

Medical density

\(\underset {(0.0006)}{0.0021^{***}}\)

\(\underset {(0.0006)}{0.0015^{**}}\)

Unemployment rate

\(\underset {(0.0024)}{0.0424^{***}}\)

\(\underset {(0.0026)}{-0.003}\)

Intercept

\(\underset {(0.1858)}{-3.5654^{***}}\)

\(\underset {(0.07)}{-3.1519^{***}}\)

\(\underset {(0.1846)}{-3.6125^{***}}\)

\(\underset {(0.072)}{-2.1525^{***}}\)

Covariance matrix

\(\sigma _{1} = \underset {(0.0013)}{0.1606^{***}}\), \(\sigma _{2} = \underset {(0.016)}{1.6948^{***}}\)

-

 

\(\rho _{\eta } = \underset {(0.0072)}{-0.628^{***}}\), \(\rho _{\zeta } = \underset {(0.0387)}{0.0337}\)

-

  1. Standard errors are in parenthesis. ***: Significant at 1% level, **: Significant at 5% level. *: Significant at 10% level, +: Refers to the individual’s nationality