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Cited by 665

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Matching and Sorting in Online Dating

Open access
Hitsch, Günter J, Hortaçsu, Alı, Ariely, Dan·2010·American Economic Review

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)

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Metadata

Authors
Hitsch, G. J., Hortaçsu, A., & Ariely, D.
Venue
American Economic Review
Published
2010-03-01
Volume
100
Issue
1
Pages
130-163
ISSN
0002-8282 (ISSN-L)
OpenAlex
W3125469226
Cited by
665
References
3
FWCI
74.72
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Matching and Sorting in Online Dating. https://app.cochat.ai/papers/10.1257/aer.100.1.130
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Hitsch, G. J., Hortaçsu, A., & Ariely, D. (2010). Matching and Sorting in Online Dating. American Economic Review. https://doi.org/10.1257/aer.100.1.130

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.