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

Table 5 SUR estimated coefficients on wife’s BMI/husband’s BMI

	*With weights*		*Without weights*
	Log (Husband’s hours)	Log (Wife’s hours)	Log (Husband’s hours)	Log (Wife’s hours)
Panel I. Spousal characteristics
a. State and year fixed effects	−0.090	0.079	−0.088	0.075
	(0.026)^***	(0.038)^**	(0.026)^***	(0.037)^**
			[0.031]^***	[0.047]
b. Region and year fixed effects	−0.065	0.081	−0.066	0.077
	(0.026)^**	(0.038)^**	(0.026)^**	(0.037)^**
			[0.033]^**	[0.048]
c. Region, year, and region-by-	−0.065	0.079	−0.066	0.076
year fixed effects	(0.026)^**	(0.038)^**	(0.026)^**	(0.037)^**
			[0.033]^**	[0.048]
Panel II. Spousal characteristics and distribution factors
d. State and year fixed effects	−0.088	0.082	−0.087	0.078
	(0.026)^***	(0.038)^**	(0.026)^***	(0.037)^**
			[0.031]^***	[0.048]
e. Region and year fixed effects	−0.064	0.085	−0.065	0.080
	(0.026)^**	(0.038)^**	(0.026)^**	(0.037)^**
			[0.033]^*	[0.048]^*
f. Region, year, and region-by-	−0.064	0.083	−0.065	0.078
year fixed effects	(0.026)^**	(0.038)^**	(0.026)^**	(0.037)^**
			[0.033]^*	[0.049]
N	2,025		2,025

Note: Each row corresponds to a different SUR regression. All regressions include own log wage, food ratio, and demographic characteristics (age, completed years of education, a good health status indicator, household non-labor income, number of children, and a recent pregnancy indicator). Each husband’s (wife’s) regression includes a husband’s (wife’s) sedentary-job type indicator. In addition, panel I includes spousal characteristics (age, completed years of education, a good health status indicator, and log wage), and panel II includes both spousal characteristics and three conventional distribution factors (the spouses’ wage ratio, their age ratio, and their years of education ratio). Standard errors are reported in parentheses. Bootstrapped standard errors clustered at the household id level based on 300 replications are reported in brackets.
^*** p-value< 0.01, ^** p-value< 0.05, ^* p-value< 0.1.