Fat spouses and hours of work: are body and Pareto weights correlated?

Table 9 SUR of log annual hours of work and log BMI

Panel I. Husband’s SUR regressions	Log(Husband’s Hours)	Log(Husband’s BMI)
Log(Wife’s Hours)	0.039^**	−0.011
	(0.015)	(0.010)
Log(Wife’s BMI)	−0.062^**	0.161^***
	(0.028)	(0.018)
Panel II. Wife’s SUR regressions	Log(Wife’s Hours)	Log(Wife’s BMI)
Log(Husband’s Hours)	0.080^**	−0.045^***
	(0.032)	(0.017)
Log(Husband’s BMI)	−0.039	0.242^***
	(0.050)	(0.027)
N	2,025

Note: Regressions, which are simultaneously estimated, include own and spousal characteristics (age, log-hourly wage, completed years of education, a good health status indicator, and a recent pregnancy indicator), food ratio, household non-labor income, number of children, state and year fixed effects. In addition, husband’s (wife’s) regression includes a husband’s (wife’s) sedentary-job type indicator Standard errors in parentheses.
^*** p-value< 0.01, ^** p-value< 0.05, ^* p-value< 0.1.