Skip to main content

Table 3 Regressions of husband’s log annual hours of work on wife’s BMI relative to husband’s BMI

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

 

(1)

(2)

(3)

(4)

(5)

(6)

Wife’s BMI/Husband’s BMI

--

−0.069**

−0.069**

−0.076**

−0.080**

−0.088***

  

(0.034)

(0.034)

(0.034)

(0.033)

(0.033)

Log(Husband’s Wage)

−0.041***

−0.044***

−0.044***

−0.048***

−0.040*

−0.046**

 

(0.014)

(0.014)

(0.014)

(0.014)

(0.022)

(0.022)

Demographic characteristics

YES

YES

YES

YES

YES

YES

Sedentary-job type

NO

NO

YES

YES

NO

YES

Food ratio

NO

NO

NO

YES

NO

YES

Spousal characteristics

NO

NO

NO

NO

YES

YES

Conventional distribution factors

NO

NO

NO

NO

YES

YES

N

2,043

2,043

2,043

2,025

2,043

2,025

Adj. R2

0.065

0.068

0.068

0.076

0.076

0.088

  1. Note: All regressions include year and state fixed effects. Demographic characteristics include age, completed years of education, a good health status indicator, household non-labor income, number of children, and a recent pregnancy indicator. Spousal characteristics include age, completed years of education, a good health status indicator, and log hourly wage. Conventional distribution factors include the spouses’ wage ratio, their age ratio, and their years of education ratio. Robust standard errors clustered at the household id level are reported in parentheses. Sampling weights are used.
  2. *** p-value< 0.01, ** p-value< 0.05, * p-value< 0.1.