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

Table 6: Mean Husband’s Log Wage and BMI by Wife’s Weight-Education pair. Full
sample
Husband’s Log Wage
Low-Educated
Wife
High-Educated
Wife
F-Test:
Equality of
Columns
F-Test: Joint
Equality of
Columns
Normal Weight Wife 2.85
(0.032)
987
Overweight Wife 2.80
(0.046)
F-Test:
Equality of Rows
F-Test:
Joint Equality of Rows
408
0.96
[0.3270]
4.35**
[0.0131]
3.15
(0.024)
2,226
3.00
(0.048)
56.50***
[0.0000]
9.68***
[0.0019]
31.36***
[0.0000]
630
7.74***
[0.0055] F-Test:
Joint Equality of Rows and
Columns
25.92***
[0.0000]
Husband’s BMI
Low-Educated
Wife
Normal Weight Wife 25.98
(0.139)
Overweight Wife 25.80
(0.195)
High-Educated
Wife
25.52
(0.095)
25.98
(0.172)
F-Test:
Equality of
Columns
7.75***
[0.0054]
0.47
[0.4913]
F-Test: Joint
Equality of
Columns
4.36**
[0.0129]
F-Test:
Equality of Rows
F-Test:
Joint Equality of Rows
0.65
[0.4200]
3.33**
[0.0359]
6.01**
[0.0144]
F-Test:
Joint Equality of Rows and
Columns
3.72**
[0.0110]
Note:
Means are computed using family weights. Robust standard errors clustered at the household head id are reported
in parentheses and p-value of the F-tests in brackets.
Overweight wife takes value 1 if BMI is 25 or above, 0 otherwise.
High-Educated wife takes value 1 if education is 13 and above, 0 otherwise.
The F-tests are performed after estimating the following model:
Husband’s Log Wage (BMI) = α + βOverweight + γHigh-Educated + δ(Overweight×High-Educated)
The F-tests for the equality of rows are Ho: α = α + β and Ho: α + γ = α + β + γ + δ, respectively. The F-test for
the joint equality of rows is Ho: α = α + β and α + γ = α + β + γ + δ. The F-tests for the equality of columns are
Ho: α = α + γ and Ho: α + β = α + β + γ + δ, respectively. The F-test for the joint equality of rows is Ho: α = α +
β and α + γ = α + β + γ + δ. The F-test for the joint equality of rows and columns satisfies all the previous
conditions.
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