Matching and sorting in online dating
| dc.contributor.author | Hitsch, GJ | |
| dc.contributor.author | Hortaçsu, A | |
| dc.contributor.author | Ariely, D | |
| dc.date.accessioned | 2011-04-15T16:46:16Z | |
| dc.date.issued | 2010-03-01 | |
| 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.description.version | Version of Record | |
| dc.identifier.issn | 0002-8282 | |
| dc.identifier.uri | ||
| dc.language.iso | en_US | |
| dc.publisher | American Economic Association | |
| dc.relation.ispartof | American Economic Review | |
| dc.relation.isversionof | 10.1257/aer.100.1.130 | |
| dc.relation.journal | American Economic Review | |
| dc.title | Matching and sorting in online dating | |
| dc.type | Journal article | |
| duke.date.pubdate | 2010-3-0 | |
| duke.description.issue | 1 | |
| duke.description.volume | 100 | |
| pubs.begin-page | 130 | |
| pubs.end-page | 163 | |
| pubs.issue | 1 | |
| pubs.organisational-group | Clinical Science Departments | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Economics | |
| pubs.organisational-group | Fuqua School of Business | |
| pubs.organisational-group | Psychiatry & Behavioral Sciences | |
| pubs.organisational-group | Sanford School of Public Policy | |
| pubs.organisational-group | Sanford School of Public Policy - Secondary Group | |
| pubs.organisational-group | School of Medicine | |
| pubs.organisational-group | Trinity College of Arts & Sciences | |
| pubs.publication-status | Published | |
| pubs.volume | 100 |