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.

Workers in a wide variety of jobs are paid based on performance, which is commonly seen as enhancing effort and productivity relative to non-contingent pay schemes. However, psychological research suggests that excessive rewards can, in some cases, result in a decline in performance. To test whether very high monetary rewards can decrease performance, we conducted a set of experiments in the U.S. and in India in which subjects worked on different tasks and received performance-contingent payments that varied in amount from small to very large relative to their typical levels of pay. With some important exceptions, very high reward levels had a detrimental effect on performance.

This paper experimentally examines image motivation—the desire to be liked and well regarded by others—as a driver in prosocial behavior (doing good), and asks whether extrinsic monetary incentives (doing well) have a detrimental effect on prosocial behavior due to crowding out of image motivation. Using the unique property of image motivation—its dependency on visibility—we show that image is indeed an important part of the motivation to behave prosocially, and that extrinsic incentives crowd out image motivation. Therefore, monetary incentives are more likely to be counterproductive for public prosocial activities than for private ones.