Show simple item record Hitsch, GJ Hortaçsu, A Ariely, D 2011-04-15T16:46:16Z 2010-03-01
dc.identifier.citation American Economic Review, 2010, 100 (1), pp. 130 - 163
dc.identifier.issn 0002-8282
dc.description.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.
dc.format.extent 130 - 163
dc.language.iso en_US en_US
dc.relation.ispartof American Economic Review
dc.relation.isversionof 10.1257/aer.100.1.130
dc.title Matching and sorting in online dating
dc.type Journal Article
dc.description.version Version of Record en_US 2010-3-0 en_US
duke.description.endpage 163 en_US
duke.description.issue 1 en_US
duke.description.startpage 130 en_US
duke.description.volume 100 en_US
dc.relation.journal American Economic Review en_US
pubs.issue 1
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Fuqua School of Business
pubs.organisational-group /Duke/Institutes and Provost's Academic Units
pubs.organisational-group /Duke/Institutes and Provost's Academic Units/Initiatives
pubs.organisational-group /Duke/Institutes and Provost's Academic Units/Initiatives/Energy Initiative
pubs.organisational-group /Duke/Sanford School of Public Policy
pubs.organisational-group /Duke/Sanford School of Public Policy/Sanford School of Public Policy
pubs.organisational-group /Duke/School of Medicine
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Psychiatry & Behavioral Sciences
pubs.organisational-group /Duke/Trinity College of Arts & Sciences
pubs.organisational-group /Duke/Trinity College of Arts & Sciences/Economics
pubs.publication-status Published
pubs.volume 100

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