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Matching and sorting in online dating
Abstract
Using data on user attributes and interactions from an online dating site, we estimate
mate preferences, and use the Gale-Shapley algorithm to predict stable matches. The
predicted matches are similar to the actual matches achieved by the dating site, and
the actual matches are approximately efficient. Out-of-sample predictions of offline
matches, i.e., marriages, exhibit assortative mating patterns similar to those observed
in actual marriages. Thus, mate preferences, without resort to search frictions, can
generate sorting in marriages. However, we underpredict some of the correlation patterns;
search frictions may play a role in explaining the discrepancy.
Type
Journal articlePermalink
https://hdl.handle.net/10161/3331Published Version (Please cite this version)
10.1257/aer.100.1.130Publication Info
(2010). Matching and sorting in online dating. American Economic Review, 100(1). pp. 130-163. 10.1257/aer.100.1.130. Retrieved from https://hdl.handle.net/10161/3331.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Dan Ariely
James B. Duke Distinguished Professor of Behavioral Economics
HI, I'M DAN ARIELY. I do research in behavioral economics and try to describe it in
plain language. These findings have enriched my life, and my hope is that they will
do the same for you.
My immersive introduction to irrationality took place many years ago while I was overcoming
injuries sustained in an explosion. The range of treatments in the burn department,
and particularly the daily “bath” mad
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