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Table 14 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 : rdeath

w : work

h : rdeath

w : work

 

(1)

(2)

(1’)

(2’)

h −1

\(\underset {(0.0417)}{4.8659^{***}}\)

\(\underset {(0.0378)}{-0.4876^{***}}\)

\(\underset {(0.0632)}{4.6729^{***}}\)

\(\underset {(0.0422)}{-0.4136^{***}}\)

w −1

\(\underset {(0.0421)}{0.0402}\)

\(\underset {(0.0129)}{2.7146^{***}}\)

\(\underset {(0.0431)}{-0.0012}\)

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

Age

\(\underset {(0.0106)}{0.0108}\)

\(\underset {(0.004)}{0.1068^{***}}\)

\(\underset {(0.011)}{0.0121}\)

\(\underset {(0.0042)}{0.1284^{***}}\)

Age square

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

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

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

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

Not French +

\(\underset {(0.0465)}{-0.0829^{*}}\)

\(\underset {(0.0167)}{-0.3221^{***}}\)

\(\underset {(0.0479)}{-0.0806^{*}}\)

\(\underset {(0.0226)}{-0.2342^{***}}\)

Gender(male)

\(\underset {(0.0938)}{-0.0683}\)

\(\underset {(0.0573)}{0.3407^{***}}\)

\(\underset {(0.0963)}{-0.0673}\)

\(\underset {(0.0544)}{-0.003}\)

Couple

\(\underset {(0.0421)}{-0.0858^{**}}\)

\(\underset {(0.0173)}{-0.4812^{***}}\)

\(\underset {(0.0434)}{-0.1003^{**}}\)

\(\underset {(0.0185)}{-0.4144^{***}}\)

Male * Couple

\(\underset {(0.0657)}{0.0035}\)

\(\underset {(0.0309)}{0.7857^{***}}\)

\(\underset {(0.0682)}{0.0211}\)

\(\underset {(0.0323)}{0.6562^{***}}\)

Number of children

\(\underset {(0.0157)}{0.0119}\)

\(\underset {(0.0063)}{-0.156^{***}}\)

\(\underset {(0.0165)}{0.0056}\)

\(\underset {(0.0074)}{-0.1288^{***}}\)

Male * Number of children

\(\underset {(0.0229)}{-0.0099}\)

\(\underset {(0.0107)}{0.0254^{**}}\)

\(\underset {(0.0238)}{-0.01}\)

\(\underset {(0.0116)}{0.0234^{**}}\)

No grade

\(\underset {(0.0818)}{0.0269}\)

\(\underset {(0.0323)}{-0.8172^{***}}\)

\(\underset {(0.0846)}{0.0865}\)

\(\underset {(0.0427)}{-0.5912^{***}}\)

College grade

\(\underset {(0.0562)}{-0.0158}\)

\(\underset {(0.0255)}{-0.5311^{***}}\)

\(\underset {(0.0589)}{-0.0079}\)

\(\underset {(0.0309)}{-0.2774^{***}}\)

High school grade

\(\underset {(0.0656)}{0.027}\)

\(\underset {(0.0296)}{-0.3582^{***}}\)

\(\underset {(0.069)}{0.0264}\)

\(\underset {(0.036)}{-0.1875^{***}}\)

Undergraduate studies

\(\underset {(0.0758)}{0.018}\)

\(\underset {(0.0345)}{-0.1903^{***}}\)

\(\underset {(0.0781)}{0.0353}\)

\(\underset {(0.041)}{-0.1193^{***}}\)

Ref : Graduate studies

-

-

-

-

Male * No grade

\(\underset {(0.1209)}{0.1659}\)

\(\underset {(0.0654)}{-0.2214^{***}}\)

\(\underset {(0.1252)}{0.1253}\)

\(\underset {(0.0715)}{0.1816^{**}}\)

Male * College grade

\(\underset {(0.0891)}{0.0857}\)

\(\underset {(0.0557)}{-0.0569}\)

\(\underset {(0.0917)}{0.081}\)

\(\underset {(0.0545)}{0.1199^{**}}\)

Male * High school grade

\(\underset {(0.1037)}{0.1492}\)

\(\underset {(0.0647)}{-0.0928}\)

\(\underset {(0.108)}{0.1343}\)

\(\underset {(0.0653)}{0.0419}\)

Male * Undergraduate studies

\(\underset {(0.1292)}{-0.0181}\)

\(\underset {(0.0853)}{0.1564^{*}}\)

\(\underset {(0.1359)}{-0.0938}\)

\(\underset {(0.0778)}{0.0993}\)

Ref : Male * Graduate studies

-

-

-

-

Medical density

\(\underset {(0.0007)}{0.0011}\)

\(\underset {(0.0007)}{0.0009}\)

Unemployment rate

\(\underset {(0.0024)}{0.0428^{***}}\)

\(\underset {(0.0026)}{-0.0029}\)

Intercept

\(\underset {(0.1894)}{-3.4328^{***}}\)

\(\underset {(0.0699)}{-3.1154^{***}}\)

\(\underset {(0.2044)}{-3.5479^{***}}\)

\(\underset {(0.072)}{-2.1372^{***}}\)

Covariance matrix

\(\sigma _{1} = \underset {(0.0013)}{0.1656^{***}}\), \(\sigma _{2} = \underset {(0.0161)}{1.7045^{***}}\)

-

 

\(\rho _{\eta } = \underset {(0.0062)}{-0.691^{***}}\), \(\rho _{\zeta } = \underset {(0.0394)}{0.0214}\)

-

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