Table 4.

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

	Bivariate estimations		Univariate estimations
Variables	h : Illness	w : work	h : Illness	w : work
	(1)	(2)	(1’)	(2’)
h −1	$\underset{\left(0.0225\right)}{3.8165^{\ast \ast \ast }}$	$\underset{\left(0.014\right)}{-0.2013^{\ast \ast \ast }}$	$\underset{\left(0.0154\right)}{4.2519^{\ast \ast \ast }}$	$\underset{\left(0.0158\right)}{-0.276^{\ast \ast \ast }}$
w −1	$\underset{\left(0.0239\right)}{0.2193^{\ast \ast \ast }}$	$\underset{\left(0.0128\right)}{2.7189^{\ast \ast \ast }}$	$\underset{\left(0.0194\right)}{0.0242}$	$\underset{\left(0.0137\right)}{2.7158^{\ast \ast \ast }}$
Age	$\underset{\left(0.0056\right)}{0.0338^{\ast \ast \ast }}$	$\underset{\left(0.004\right)}{0.1079^{\ast \ast \ast }}$	$\underset{\left(0.0047\right)}{-0.0088^{\ast }}$	$\underset{\left(0.0042\right)}{0.1297^{\ast \ast \ast }}$
Age square	$\underset{\left(0.0001\right)}{0.00003}$	$\underset{\left(0.0001\right)}{-0.0017^{\ast \ast \ast }}$	$\underset{\left(0.0001\right)}{0.0003^{\ast \ast \ast }}$	$\underset{\left(0.0001\right)}{-0.0018^{\ast \ast \ast }}$
Not French +	$\underset{\left(0.0251\right)}{-0.0492^{\ast \ast }}$	$\underset{\left(0.0166\right)}{-0.3368^{\ast \ast \ast }}$	$\underset{\left(0.0191\right)}{-0.0226}$	$\underset{\left(0.0225\right)}{-0.2434^{\ast \ast \ast }}$
Gender(male)	$\underset{\left(0.0583\right)}{-0.2814^{\ast \ast \ast }}$	$\underset{\left(0.0543\right)}{0.2843^{\ast \ast \ast }}$	$\underset{\left(0.0419\right)}{-0.081^{\ast }}$	$\underset{\left(0.0542\right)}{-0.0194}$
Couple	$\underset{\left(0.0237\right)}{-0.0325}$	$\underset{\left(0.0172\right)}{-0.482^{\ast \ast \ast }}$	$\underset{\left(0.0196\right)}{-0.0406^{\ast \ast }}$	$\underset{\left(0.0185\right)}{-0.4217^{\ast \ast \ast }}$
Male * Couple	$\underset{\left(0.0373\right)}{0.0391}$	$\underset{\left(0.0307\right)}{0.7826^{\ast \ast \ast }}$	$\underset{\left(0.0306\right)}{0.0305}$	$\underset{\left(0.0324\right)}{0.6622^{\ast \ast \ast }}$
Number of children	$\underset{\left(0.0091\right)}{0.0363^{\ast \ast \ast }}$	$\underset{\left(0.0062\right)}{-0.1554^{\ast \ast \ast }}$	$\underset{\left(0.0073\right)}{0.0278^{\ast \ast \ast }}$	$\underset{\left(0.0074\right)}{-0.1291^{\ast \ast \ast }}$
Male * Number of children	$\underset{\left(0.013\right)}{-0.007}$	$\underset{\left(0.0106\right)}{0.0334^{\ast \ast \ast }}$	$\underset{\left(0.0104\right)}{-0.0134}$	$\underset{\left(0.0116\right)}{0.0243^{\ast \ast }}$
No grade	$\underset{\left(0.0492\right)}{0.2883^{\ast \ast \ast }}$	$\underset{\left(0.032\right)}{-0.7921^{\ast \ast \ast }}$	$\underset{\left(0.037\right)}{0.0844^{\ast \ast }}$	$\underset{\left(0.0425\right)}{-0.5771^{\ast \ast \ast }}$
College grade	$\underset{\left(0.0345\right)}{0.2705^{\ast \ast \ast }}$	$\underset{\left(0.0252\right)}{-0.5065^{\ast \ast \ast }}$	$\underset{\left(0.0254\right)}{0.0698^{\ast \ast \ast }}$	$\underset{\left(0.0307\right)}{-0.2658^{\ast \ast \ast }}$
High school grade	$\underset{\left(0.0401\right)}{0.2309^{\ast \ast \ast }}$	$\underset{\left(0.0293\right)}{-0.3331^{\ast \ast \ast }}$	$\underset{\left(0.0298\right)}{0.0637^{\ast \ast }}$	$\underset{\left(0.0358\right)}{-0.1739^{\ast \ast \ast }}$
Undergraduate studies	$\underset{\left(0.0459\right)}{0.0859^{\ast }}$	$\underset{\left(0.034\right)}{-0.158^{\ast \ast \ast }}$	$\underset{\left(0.034\right)}{0.0218}$	$\underset{\left(0.0408\right)}{-0.1139^{\ast \ast \ast }}$
Ref : Graduate studies	-	-	-	-
Male * No grade	$\underset{\left(0.0755\right)}{0.2553^{\ast \ast \ast }}$	$\underset{\left(0.063\right)}{-0.1505^{\ast \ast }}$	$\underset{\left(0.0556\right)}{0.0746}$	$\underset{\left(0.0712\right)}{0.1912^{\ast \ast \ast }}$
Male * College grade	$\underset{\left(0.0556\right)}{0.1264^{\ast \ast }}$	$\underset{\left(0.053\right)}{-0.0182}$	$\underset{\left(0.0392\right)}{0.0402}$	$\underset{\left(0.0542\right)}{0.1243^{\ast \ast }}$
Male * High school grade	$\underset{\left(0.0663\right)}{0.0717}$	$\underset{\left(0.0619\right)}{-0.0882}$	$\underset{\left(0.0474\right)}{0.0378}$	$\underset{\left(0.065\right)}{0.0404}$
Male * Undergraduate studies	$\underset{\left(0.079\right)}{0.0048}$	$\underset{\left(0.0789\right)}{0.1126}$	$\underset{\left(0.0555\right)}{0.0139}$	$\underset{\left(0.0775\right)}{0.1028}$
Ref : Male * Graduate studies	-	-	-	-
Medical density	$\underset{\left(0.0003\right)}{-0.0006^{\ast }}$	−	$\underset{\left(0.0003\right)}{0.0022^{\ast \ast \ast }}$	−
Unemployment rate	−	$\underset{\left(0.0024\right)}{0.0433^{\ast \ast \ast }}$	−	$\underset{\left(0.0026\right)}{-0.0022}$
Intercept	$\underset{\left(0.0992\right)}{-2.5964^{\ast \ast \ast }}$	$\underset{\left(0.0695\right)}{-3.1624^{\ast \ast \ast }}$	$\underset{\left(0.0827\right)}{-2.5882^{\ast \ast \ast }}$	$\underset{\left(0.072\right)}{-2.1492^{\ast \ast \ast }}$
Covariance matrix	${\sigma }_1=\underset{\left(0.0184\right)}{1.371^{\ast \ast \ast }}$, ${\sigma }_2=\underset{\left(0.0161\right)}{1.7086^{\ast \ast \ast }}$		-
	${\rho }_{\eta }=\underset{\left(0.0054\right)}{-0.8242^{\ast \ast \ast }}$, ${\rho }_{\zeta }=\underset{\left(0.0176\right)}{0.0258}$		-

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