Matching and Sorting in Online Dating
利用在线约会网站的用户数据估计择偶偏好，并用算法预测稳定匹配，发现预测匹配与实际匹配相似且接近有效，偏好本身就能解释婚姻中的分类现象。
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.