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

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of) overweight women.<br />

All in all, these tables are consistent with the basic story presented above. Assortative<br />

<strong>matching</strong> takes place along the two dimensions of physical <strong>and</strong> <strong>socioeconomic</strong> attractiveness;<br />

moreover, a trade-o¤ seems to exist, whereby a lower level of physical attractiveness can be<br />

compensated by better <strong>socioeconomic</strong> characteristics <strong>and</strong> conversely. However, while these<br />

…ndings are globally supportive of our theory, they do not constitute clean tests of it. Developing<br />

such tests is the topic of the next section.<br />

6 Formal test <strong>and</strong> estimation<br />

6.1 A linear speci…cation<br />

In order to formally implement the model, we …rst need to further specify its form. We start<br />

with the benchmark case in which the functions I <strong>and</strong> J in (1) are linear, similarly to Hitsch<br />

et al. (2010):<br />

I X 1 i ; :::; X K i<br />

J Yj 1 ; :::; Yj<br />

L<br />

X<br />

= f k Xi<br />

k<br />

k<br />

<br />

=<br />

X<br />

We have concluded above that the distribution of any female characteristic conditional on the<br />

l<br />

g l Y l<br />

j<br />

husb<strong>and</strong>’s pro…le<br />

X 1 i ; :::; X K i<br />

<br />

only depends on I X<br />

1<br />

i ; :::; X K i<br />

<br />

: It follows from (3) that, for<br />

any female characteristic s:<br />

@E Yj<br />

s<br />

@E Yj<br />

s<br />

j X 1 ; :::; X K =@X n<br />

j X 1 ; :::; X K =@X = f n<br />

m f m<br />

<strong>and</strong> by the same token:<br />

@E X s i j Y 1 ; :::; Y L =@Y n<br />

@E [X s i j Y 1 ; :::; Y L ] =@Y m = g n<br />

g m<br />

17

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