Marriage markets as explanation for why heavier people work more hours

Table 10 BMI and log hours of work: OLS estimates for all men and women (including those without sibling)

	White	White	Black	Black	Hispanic	Hispanic
Panel A: OLS results for single women
BMI	0.00352*** (2.965)	0.00496*** (4.341)	0.00168 (1.445)	0.00205* (1.799)	−0.00254 (−1.257)	−0.00227 (−1.193)
Control for wage	No	Yes	No	Yes	No	Yes
Observations	13,201	13,201	9327	9327	4304	4304
Panel B: OLS results for married women
BMI	0.00444*** (2.842)	0.00477*** (3.188)	−0.00141 (−0.600)	0.000310 (0.142)	0.00116 (0.435)	0.00202 (0.785)
Control for wage	No	Yes	No	Yes	No	Yes
Observations	10,093	10,093	2208	2208	2246	2246
Panel C: OLS results for single men
BMI	0.00450*** (3.439)	0.00441*** (3.487)	0.00558*** (3.148)	0.00461*** (2.602)	0.000663 (0.363)	0.00104 (0.587)
Control for wage	No	Yes	No	Yes	No	Yes
Observations	17,531	17,531	9128	9128	5545	5545
Panel D: OLS results for married men
BMI	0.00143 (0.991)	0.00165 (1.137)	0.00482 (1.532)	0.00517* (1.668)	−0.000611 (−0.249)	−0.000250 (−0.103)
Control for wage	No	Yes	No	Yes	No	Yes
Observations	8693	8693	1983	1983	2075	2075

Note 1: Control variables include for work experience (quadratic), educational categories, dummies for whether the respondent believes in traditional gender roles, whether the respondent has any children, if the youngest child is below six, region of residence, age, and year. For married samples, additional controls include spouse’s age, educational categories, and annual income. Note 2: Robust t-statistics in parentheses (clustered at the individual level)
*** p < 0.01, ** p < 0.05, and * p < 0.10