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Our empirical analysis reveals that there is positive sorting between spouses’<br />
BMIs, weights and heights. An additional unit in husband’s BMI is associated with an<br />
increase of .40 units in the BMI of the wife; an additional pound in husband’s weight is<br />
associated with an increase of .35 pounds in wife’s weight; finally, an additional inch in<br />
his height is associated with an increase of .12 in his wife’s height. As to the estimated<br />
trade-offs among spousal anthropometric and socio-economic characteristics, we find an<br />
economic penalty for heavier women: richer men tend to be married with thinner<br />
women. An increase of about $ 4,200 in a husband’s earnings (10% of his average<br />
earnings) is associated with his being married to a woman who weighs almost 1.2<br />
pounds less, and whose BMI is .21 points lower. This means that if we compare two<br />
couples, one with the husband earning $ 40,000 and the other with the husband earning<br />
$ 80,000, ceteris paribus the latter will be matched to a wife who has 2 units of BMI<br />
less, or 12 pounds less, a visible and sizable association between earnings and physical<br />
attractiveness. Additionally, the heavier a wife is, the shorter her husband tends to be;<br />
10 pounds more on her part is correlated with 0.14 inches less height on his.<br />
There are two pertinent studies using PSID data to analyze spousal weight<br />
correlations, but they do not examine the correlation within a couple between<br />
anthropometric and socio-economic characteristics. Kano (2008), investigating the joint<br />
dynamics of spousal obesity, controlled only for each spouse’s socio-economic<br />
characteristics and total household income and disregarded the other spouse’s variables.<br />
Conley and Glauber (2007), examining PSID data on siblings, found that for women<br />
BMI is negatively associated with family income, the likelihood of marriage, the<br />
spouse’s occupational prestige, and spousal earnings. However, for men, BMI is<br />
positively associated with spousal earnings.<br />
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