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Fatter attraction: anthropometric and socioeconomic matching ... - Ivie

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Table 22: SUR Regressions of Husb<strong>and</strong>’s Characteristics on Wife’s Characteristics.<br />

Obese couples.<br />

Husb<strong>and</strong>’s BMI Husb<strong>and</strong>’s Log Wage<br />

A. Index’s coefficients on<br />

Wife’s Education<br />

−0.324**<br />

(0.150)<br />

0.045***<br />

(0.016)<br />

Wife’s BMI 0.086*<br />

(0.050)<br />

Husb<strong>and</strong>’s Age −0.007<br />

(0.037)<br />

−0.021***<br />

(0.004)<br />

0.017***<br />

(0.003)<br />

R 2 0.23 0.33<br />

Sample size 525<br />

B. MRS = ratio of coefficients<br />

Wife’s Education<br />

Wife’s BMI<br />

−3.78<br />

−2.20**<br />

(3.06)<br />

(0.99)<br />

Equality of ratios test Chi 2 (1) = 0.27<br />

(p-value = 0.6026)<br />

Note: We consider obese couples, BMI ≥30. Wife’s age is in the range [20, 50]. St<strong>and</strong>ard<br />

errors are reported in parentheses. Bootstrapped st<strong>and</strong>ard errors (1,000 replications based on<br />

263 clusters in household head id) are reported in parentheses. All regressions include state<br />

<strong>and</strong> year fixed effects.<br />

*** p-value < 0.01, ** p-value < 0.05, * p-value < 0.1<br />

46

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