Replication data for: Matching and Sorting in Online Dating
Principal Investigator(s): View help for Principal Investigator(s) Gunter J. Hitsch; Ali Hortaçsu; Dan Ariely
Version: View help for Version V1
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LICENSE.txt | text/plain | 14.6 KB | 10/11/2019 10:31:AM |
Project Citation:
Hitsch, Gunter J., Hortaçsu, Ali, and Ariely, Dan. Replication data for: Matching and Sorting in Online Dating. Nashville, TN: American Economic Association [publisher], 2010. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112322V1
Project Description
Summary:
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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)
Scope of Project
JEL Classification:
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C78 Bargaining Theory; Matching Theory
J12 Marriage; Marital Dissolution; Family Structure; Domestic Abuse
C78 Bargaining Theory; Matching Theory
J12 Marriage; Marital Dissolution; Family Structure; Domestic Abuse
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