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Table 4 Regressions of wife’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 -- 0.106** 0.103** 0.102* 0.087* 0.082
   (0.052) (0.052) (0.052) (0.052) (0.052)
Log(Wife’s Wage) 0.046** 0.048** 0.045** 0.038* 0.079** 0.070**
  (0.021) (0.021) (0.021) (0.021) (0.031) (0.031)
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 0.098 0.101 0.102 0.106 0.116 0.122
  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.