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American Economic Review: Vol. 100 No. 1 (March 2010)
AER Volume. 100, Issue 1 | 
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Matching and Sorting in Online Dating
Article Citation
Hitsch, Gunter J.,
Ali Hortaçsu, and
Dan Ariely. 2010. "Matching and Sorting in Online Dating."
American Economic Review,
100(1): 130-63.
DOI: 10.1257/aer.100.1.130
DOI: 10.1257/aer.100.1.130
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. (JEL C78, J12)
Article Full-Text Access
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Authors
Hitsch, Gunter J. (U Chicago)
Hortaçsu, Ali (U Chicago)
Ariely, Dan (Duke U)
Hortaçsu, Ali (U Chicago)
Ariely, Dan (Duke U)
JEL Classifications
C78: Bargaining Theory; Matching Theory
J12: Marriage; Marital Dissolution; Family Structure; Domestic Abuse
J12: Marriage; Marital Dissolution; Family Structure; Domestic Abuse
