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

Table 16: SUR Regressions of Husband’s Characteristics on Wife’s Characteristics
with interaction term. Full sample.
Husband’s BMI = {A1} + {B1}×Wife’s Education + {B2}×Wife’s BMI + {B3}×Wife’s BMI ×Wife’s
Education + {D1}×Husband’s Age
Husband’s Log Wage = {A2} + {C1}×Wife’s Education + {C2}×Wife’s BMI + {C3}×Wife’s BMI ×Wife’s
Education + {D2}×Husband’s Age
Index’s coefficients
{B1}
{B2}
Husband’s BMI
−0.626***
(0.220)
−0.281**
(0.135)
Husband’s Log Wage
--
--
{B3} 0.024**
(0.009)
{D1} 0.023***
(0.006)
--
--
{C1} -- 0.074
(0.051)
{C2} -- −0.024
(0.030)
{C3} -- 0.001
(0.002)
{D2} -- 0.018***
(0.001)
R 2 0.02 0.14
Sample size 4,251
Note: We consider individuals who are in the normal-overweight range, BMI [18.5, 30).
Wife’s age is in the range [20, 50]. Feasible generalized non-linear least squares regression
estimates. Bootstrapped standard errors (1,000 replications based on 1,749 clusters in
household head id) are reported in parentheses.
*** p-value < 0.01, ** p-value < 0.05, * p-value < 0.1
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