Estimating Matching Games with Transfers By Jeremy Fox 2. Mate Preferences and Matching Outcomes in Online Dating By Günter Hitsch, Ali Hortacsu, ...
In fact, when I ask Obama supporters about how they expect him to fair against other US presidents, their general answer is that he is likely to be the best president of all time (some think he will be second to JFK).
Since the emotions and excitement toward Obama seem to be those usually reserved for romantic attraction, I would like to draw on some lessons from our (Mike Norton, Jeana Frost, and I) research on the ways in which people form impressions about others in romantic settings and the pitfalls of their impressions.
What we found is that although people expect that the more they get to know another person the more they will like this person, in reality familiarity breeds contempt!
As it turns out, on average, the more we learn about someone, the less we like them. When we get partial information about others we tend to fill in the gaps optimistically; we assume that they are wonderful, just like us and that they share our exact values and preferences.
This paper studies the economics of match formation using a novel data set obtained from a major online dating service.
Using detailed information on the users' attributes and interactions, we estimate a model of mate preferences.This may sound like a recommendation to not reveal much about ourselves and as a consequence gain more affection.Based on the estimated preferences, we use the Gale-Shapley algorithm to predict the stable matches among the users of the dating site.Comparing the predicted and observed matching patterns, we find that the Gale-Shapley model explains the matches achieved by the online dating market well, and that the matches are approximately efficient (within the class of stable matches). Caste and Mate Selection in Modern India By Abhijit Banerjee, Esther Duflo, ... Wage Differentials Between the Public and the Private Sectors in India By Elena Glinskayai and Michael Lokshin 9.As the Gale-Shapley algorithm predicts match outcomes in the absence of search costs, we conclude that mate preferences, not search frictions, explain much of the strong degree of sorting along various attributes in marriages. and Hortacsu, Ali and Ariely, Dan, Matching and Sorting in Online Dating (March 1, 2008). Available at SSRN: https://ssrn.com/abstract=1113243 or This link gives the references in this paper that have been resolved by our automated systems, with hot links to online versions of each paper where we have been able to locate them.',340,200,2);" onmouseout="tool Tip2();"This link gives the references of papers that cite this paper that have been resolved by SSRNs automated systems, with hot links to online versions of each paper where we have been able to locate them.',340,200,2);" onmouseout="tool Tip2();" 1. Estimating Matching Games with Transfers By Jeremy Fox 2. Mate Preferences and Matching Outcomes in Online Dating By Günter Hitsch, Ali Hortacsu, ...