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Table 4 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 : Illness

w : work

h : Illness

w : work

 

(1)

(2)

(1’)

(2’)

h −1

\(\underset {(0.0225)}{3.8165^{***}}\)

\(\underset {(0.014)}{-0.2013^{***}}\)

\(\underset {(0.0154)}{4.2519^{***}}\)

\(\underset {(0.0158)}{-0.276^{***}}\)

w −1

\(\underset {(0.0239)}{0.2193^{***}}\)

\(\underset {(0.0128)}{2.7189^{***}}\)

\(\underset {(0.0194)}{0.0242}\)

\(\underset {(0.0137)}{2.7158^{***}}\)

Age

\(\underset {(0.0056)}{0.0338^{***}}\)

\(\underset {(0.004)}{0.1079^{***}}\)

\(\underset {(0.0047)}{-0.0088^{*}}\)

\(\underset {(0.0042)}{0.1297^{***}}\)

Age square

\(\underset {(0.0001)}{0.00003}\)

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

\(\underset {(0.0001)}{0.0003^{***}}\)

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

Not French +

\(\underset {(0.0251)}{-0.0492^{**}}\)

\(\underset {(0.0166)}{-0.3368^{***}}\)

\(\underset {(0.0191)}{-0.0226}\)

\(\underset {(0.0225)}{-0.2434^{***}}\)

Gender(male)

\(\underset {(0.0583)}{-0.2814^{***}}\)

\(\underset {(0.0543)}{0.2843^{***}}\)

\(\underset {(0.0419)}{-0.081^{*}}\)

\(\underset {(0.0542)}{-0.0194}\)

Couple

\(\underset {(0.0237)}{-0.0325}\)

\(\underset {(0.0172)}{-0.482^{***}}\)

\(\underset {(0.0196)}{-0.0406^{**}}\)

\(\underset {(0.0185)}{-0.4217^{***}}\)

Male * Couple

\(\underset {(0.0373)}{0.0391}\)

\(\underset {(0.0307)}{0.7826^{***}}\)

\(\underset {(0.0306)}{0.0305}\)

\(\underset {(0.0324)}{0.6622^{***}}\)

Number of children

\(\underset {(0.0091)}{0.0363^{***}}\)

\(\underset {(0.0062)}{-0.1554^{***}}\)

\(\underset {(0.0073)}{0.0278^{***}}\)

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

Male * Number of children

\(\underset {(0.013)}{-0.007}\)

\(\underset {(0.0106)}{0.0334^{***}}\)

\(\underset {(0.0104)}{-0.0134}\)

\(\underset {(0.0116)}{0.0243^{**}}\)

No grade

\(\underset {(0.0492)}{0.2883^{***}}\)

\(\underset {(0.032)}{-0.7921^{***}}\)

\(\underset {(0.037)}{0.0844^{**}}\)

\(\underset {(0.0425)}{-0.5771^{***}}\)

College grade

\(\underset {(0.0345)}{0.2705^{***}}\)

\(\underset {(0.0252)}{-0.5065^{***}}\)

\(\underset {(0.0254)}{0.0698^{***}}\)

\(\underset {(0.0307)}{-0.2658^{***}}\)

High school grade

\(\underset {(0.0401)}{0.2309^{***}}\)

\(\underset {(0.0293)}{-0.3331^{***}}\)

\(\underset {(0.0298)}{0.0637^{**}}\)

\(\underset {(0.0358)}{-0.1739^{***}}\)

Undergraduate studies

\(\underset {(0.0459)}{0.0859^{*}}\)

\(\underset {(0.034)}{-0.158^{***}}\)

\(\underset {(0.034)}{0.0218}\)

\(\underset {(0.0408)}{-0.1139^{***}}\)

Ref : Graduate studies

-

-

-

-

Male * No grade

\(\underset {(0.0755)}{0.2553^{***}}\)

\(\underset {(0.063)}{-0.1505^{**}}\)

\(\underset {(0.0556)}{0.0746}\)

\(\underset {(0.0712)}{0.1912^{***}}\)

Male * College grade

\(\underset {(0.0556)}{0.1264^{**}}\)

\(\underset {(0.053)}{-0.0182}\)

\(\underset {(0.0392)}{0.0402}\)

\(\underset {(0.0542)}{0.1243^{**}}\)

Male * High school grade

\(\underset {(0.0663)}{0.0717}\)

\(\underset {(0.0619)}{-0.0882}\)

\(\underset {(0.0474)}{0.0378}\)

\(\underset {(0.065)}{0.0404}\)

Male * Undergraduate studies

\(\underset {(0.079)}{0.0048}\)

\(\underset {(0.0789)}{0.1126}\)

\(\underset {(0.0555)}{0.0139}\)

\(\underset {(0.0775)}{0.1028}\)

Ref : Male * Graduate studies

-

-

-

-

Medical density

\(\underset {(0.0003)}{-0.0006^{*}}\)

\(\underset {(0.0003)}{0.0022^{***}}\)

Unemployment rate

\(\underset {(0.0024)}{0.0433^{***}}\)

\(\underset {(0.0026)}{-0.0022}\)

Intercept

\(\underset {(0.0992)}{-2.5964^{***}}\)

\(\underset {(0.0695)}{-3.1624^{***}}\)

\(\underset {(0.0827)}{-2.5882^{***}}\)

\(\underset {(0.072)}{-2.1492^{***}}\)

Covariance matrix

\(\sigma _{1} = \underset {(0.0184)}{1.371^{***}}\), \(\sigma _{2} = \underset {(0.0161)}{1.7086^{***}}\)

-

 

\(\rho _{\eta } = \underset {(0.0054)}{-0.8242^{***}}\), \(\rho _{\zeta } = \underset {(0.0176)}{0.0258}\)

-

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