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Matching and Sorting in Online Dating

Author

Listed:
  • Gunter J. Hitsch
  • Ali Hortaçsu
  • Dan Ariely

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)

Suggested Citation

  • Gunter J. Hitsch & Ali Hortaçsu & Dan Ariely, 2010. "Matching and Sorting in Online Dating," American Economic Review, American Economic Association, vol. 100(1), pages 130-163, March.
    • Handle: RePEc:aea:aecrev:v:100:y:2010:i:1:p:130-63
    Note: DOI: 10.1257/aer.100.1.130
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    References listed on IDEAS

    as
    1. Adachi, Hiroyuki, 2003. "A search model of two-sided matching under nontransferable utility," Journal of Economic Theory, Elsevier, vol. 113(2), pages 182-198, December.
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    5. Guillaume R. Fréchette & Alvin E. Roth & M. Utku Ünver, 2007. "Unraveling yields inefficient matchings: evidence from post-season college football bowls," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 967-982, December.
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    More about this item

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure

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    1. Matching and Sorting in Online Dating (AER 2010) in ReplicationWiki

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