Table 14.

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

	Bivariate estimations		Univariate estimations
Variables	h : rdeath	w : work	h : rdeath	w : work
	(1)	(2)	(1’)	(2’)
h −1	$\underset{\left(0.0417\right)}{4.8659^{\ast \ast \ast }}$	$\underset{\left(0.0378\right)}{-0.4876^{\ast \ast \ast }}$	$\underset{\left(0.0632\right)}{4.6729^{\ast \ast \ast }}$	$\underset{\left(0.0422\right)}{-0.4136^{\ast \ast \ast }}$
w −1	$\underset{\left(0.0421\right)}{0.0402}$	$\underset{\left(0.0129\right)}{2.7146^{\ast \ast \ast }}$	$\underset{\left(0.0431\right)}{-0.0012}$	$\underset{\left(0.0137\right)}{2.716^{\ast \ast \ast }}$
Age	$\underset{\left(0.0106\right)}{0.0108}$	$\underset{\left(0.004\right)}{0.1068^{\ast \ast \ast }}$	$\underset{\left(0.011\right)}{0.0121}$	$\underset{\left(0.0042\right)}{0.1284^{\ast \ast \ast }}$
Age square	$\underset{\left(0.0001\right)}{0.00003}$	$\underset{\left(0.0001\right)}{-0.0017^{\ast \ast \ast }}$	$\underset{\left(0.0001\right)}{0.00003}$	$\underset{\left(0.0001\right)}{-0.0018^{\ast \ast \ast }}$
Not French +	$\underset{\left(0.0465\right)}{-0.0829^{\ast }}$	$\underset{\left(0.0167\right)}{-0.3221^{\ast \ast \ast }}$	$\underset{\left(0.0479\right)}{-0.0806^{\ast }}$	$\underset{\left(0.0226\right)}{-0.2342^{\ast \ast \ast }}$
Gender(male)	$\underset{\left(0.0938\right)}{-0.0683}$	$\underset{\left(0.0573\right)}{0.3407^{\ast \ast \ast }}$	$\underset{\left(0.0963\right)}{-0.0673}$	$\underset{\left(0.0544\right)}{-0.003}$
Couple	$\underset{\left(0.0421\right)}{-0.0858^{\ast \ast }}$	$\underset{\left(0.0173\right)}{-0.4812^{\ast \ast \ast }}$	$\underset{\left(0.0434\right)}{-0.1003^{\ast \ast }}$	$\underset{\left(0.0185\right)}{-0.4144^{\ast \ast \ast }}$
Male * Couple	$\underset{\left(0.0657\right)}{0.0035}$	$\underset{\left(0.0309\right)}{0.7857^{\ast \ast \ast }}$	$\underset{\left(0.0682\right)}{0.0211}$	$\underset{\left(0.0323\right)}{0.6562^{\ast \ast \ast }}$
Number of children	$\underset{\left(0.0157\right)}{0.0119}$	$\underset{\left(0.0063\right)}{-0.156^{\ast \ast \ast }}$	$\underset{\left(0.0165\right)}{0.0056}$	$\underset{\left(0.0074\right)}{-0.1288^{\ast \ast \ast }}$
Male * Number of children	$\underset{\left(0.0229\right)}{-0.0099}$	$\underset{\left(0.0107\right)}{0.0254^{\ast \ast }}$	$\underset{\left(0.0238\right)}{-0.01}$	$\underset{\left(0.0116\right)}{0.0234^{\ast \ast }}$
No grade	$\underset{\left(0.0818\right)}{0.0269}$	$\underset{\left(0.0323\right)}{-0.8172^{\ast \ast \ast }}$	$\underset{\left(0.0846\right)}{0.0865}$	$\underset{\left(0.0427\right)}{-0.5912^{\ast \ast \ast }}$
College grade	$\underset{\left(0.0562\right)}{-0.0158}$	$\underset{\left(0.0255\right)}{-0.5311^{\ast \ast \ast }}$	$\underset{\left(0.0589\right)}{-0.0079}$	$\underset{\left(0.0309\right)}{-0.2774^{\ast \ast \ast }}$
High school grade	$\underset{\left(0.0656\right)}{0.027}$	$\underset{\left(0.0296\right)}{-0.3582^{\ast \ast \ast }}$	$\underset{\left(0.069\right)}{0.0264}$	$\underset{\left(0.036\right)}{-0.1875^{\ast \ast \ast }}$
Undergraduate studies	$\underset{\left(0.0758\right)}{0.018}$	$\underset{\left(0.0345\right)}{-0.1903^{\ast \ast \ast }}$	$\underset{\left(0.0781\right)}{0.0353}$	$\underset{\left(0.041\right)}{-0.1193^{\ast \ast \ast }}$
Ref : Graduate studies	-	-	-	-
Male * No grade	$\underset{\left(0.1209\right)}{0.1659}$	$\underset{\left(0.0654\right)}{-0.2214^{\ast \ast \ast }}$	$\underset{\left(0.1252\right)}{0.1253}$	$\underset{\left(0.0715\right)}{0.1816^{\ast \ast }}$
Male * College grade	$\underset{\left(0.0891\right)}{0.0857}$	$\underset{\left(0.0557\right)}{-0.0569}$	$\underset{\left(0.0917\right)}{0.081}$	$\underset{\left(0.0545\right)}{0.1199^{\ast \ast }}$
Male * High school grade	$\underset{\left(0.1037\right)}{0.1492}$	$\underset{\left(0.0647\right)}{-0.0928}$	$\underset{\left(0.108\right)}{0.1343}$	$\underset{\left(0.0653\right)}{0.0419}$
Male * Undergraduate studies	$\underset{\left(0.1292\right)}{-0.0181}$	$\underset{\left(0.0853\right)}{0.1564^{\ast }}$	$\underset{\left(0.1359\right)}{-0.0938}$	$\underset{\left(0.0778\right)}{0.0993}$
Ref : Male * Graduate studies	-	-	-	-
Medical density	$\underset{\left(0.0007\right)}{0.0011}$	−	$\underset{\left(0.0007\right)}{0.0009}$	−
Unemployment rate	−	$\underset{\left(0.0024\right)}{0.0428^{\ast \ast \ast }}$	−	$\underset{\left(0.0026\right)}{-0.0029}$
Intercept	$\underset{\left(0.1894\right)}{-3.4328^{\ast \ast \ast }}$	$\underset{\left(0.0699\right)}{-3.1154^{\ast \ast \ast }}$	$\underset{\left(0.2044\right)}{-3.5479^{\ast \ast \ast }}$	$\underset{\left(0.072\right)}{-2.1372^{\ast \ast \ast }}$
Covariance matrix	${\sigma }_1=\underset{\left(0.0013\right)}{0.1656^{\ast \ast \ast }}$, ${\sigma }_2=\underset{\left(0.0161\right)}{1.7045^{\ast \ast \ast }}$		-
	${\rho }_{\eta }=\underset{\left(0.0062\right)}{-0.691^{\ast \ast \ast }}$, ${\rho }_{\zeta }=\underset{\left(0.0394\right)}{0.0214}$		-

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