Fatter attraction: anthropometric and socioeconomic matching ... - Ivie
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Table 23: SUR Regressions of Wife’s Characteristics on Husb<strong>and</strong>’s Characteristics.<br />
Full sample. Husb<strong>and</strong>’s Education instead of Husb<strong>and</strong>’s Log Wage.<br />
Wife’s BMI<br />
Wife’s Education<br />
A. Index’s coefficients on<br />
Husb<strong>and</strong>’s Education<br />
−0.192***<br />
(0.032)<br />
0.524***<br />
(0.023)<br />
Husb<strong>and</strong>’s BMI 0.070***<br />
(0.027)<br />
Wife’s Age 0.024***<br />
(0.007)<br />
−0.041**<br />
(0.018)<br />
−0.007<br />
(0.005)<br />
R 2 0.07 0.35<br />
Sample size 4,136<br />
B. MRS = ratio of coefficients<br />
Husb<strong>and</strong>’s Log Wage<br />
Husb<strong>and</strong>’s BMI<br />
−2.76**<br />
−12.92**<br />
(1.20)<br />
(5.70)<br />
Equality of ratios test Chi 2 (1) = 3.11<br />
(p-value = 0.0779)<br />
Note: We consider individuals who are in the normal-overweight range, BMI [18.5, 30).<br />
Wife’s age is in the range [20, 50]. Bootstrapped st<strong>and</strong>ard errors (1,000 replications based on<br />
1,707 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 />
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