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Adam over at FoxBase Alpha points to a paper written by MIT economists titled “What Makes You Click? - Mate Preferences and Matching Outcomes in Online Dating” by Günter J. Hitsch, Ali Hortaçsu and Dan Ariely. A good read if you’re interested in optimal BMI, superstar effects and charts showing how much money a man needs to make at different height levels.
This paper uses a novel data set obtained from an online dating service to draw inferences on mate preferences and to investigate the role played by these preferences in determining match outcomes and sorting patterns. The empirical analysis is based on a detailed record of the site users’ attributes and their partner search, which allows us to estimate a rich preference specification that takes into account a large number of partner characteristics. Our revealed preference estimates complement many previous studies that are based on survey methods. In addition, we provide evidence on mate preferences that people might not truthfully reveal in a survey, in particular regarding race preferences. In order to examine the quantitative importance of the estimated preferences in the formation of matches, we simulate match outcomes using the Gale-Shapley algorithm and examine the resulting correlations in mate attributes. The Gale-Shapley algorithm predicts the online sorting patterns well. Therefore, the match outcomes in this online dating market appear to be approximately efficient in the Gale-Shapley sense. Using the Gale-Shapley algorithm, we also find that we can predict sorting patterns in actual marriages if we exclude the unobservable utility component in our preference specification when simulating match outcomes. One possible explanation for this finding suggests that search frictions play a role in the formation of marriages.
What is the effect of 30% of all online daters telling white lies on the study? Fernando Ardenghi and Dr. James Houran are going to love this.
Technorati Tags: online+dating+research, gale+shapley
{ 2 comments… read them below or add one }
My comment of that paper -and others like that- can be seen at:
http://mb.internetdatingconference.com/scientific-papers-t395.html
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Posted: Mon Jun 05, 2006 3:22 am
There is also a collection of papers trying to explain marriage as an economic function (as a complex mental process).
They propose: a marriage can be predicted using mainly Gale_Shapley algorithm, General Equilibrium Theory and Non_cooperative Game Theory.
Main weak point: They do not take into account temporal patterns of romantic relationship
development nor personality traits.
Here are the links!
http://home.uchicago.edu/~hortacsu/onlinedating.pdf
“What Makes You Click? - Mate Preferences and Matching Outcomes in Online Dating”
http://www.chass.utoronto.ca/~eugechoo/Papers/30076.web.pdf
“Who Marries Whom and Why”
http://www.chass.utoronto.ca/~eugechoo/Papers/Draft5.pdf
“Lifecycle marriage matching: Theory and evidence”
http://www.hss.caltech.edu/SSPapers/wp1252.pdf
“WHAT MATCHINGS CAN BE STABLE? THE REFUTABILITY OF MATCHING THEORY”
”
Kindest Regards,
Fernando Ardenghi.
Buenos Aires.
Argentina.
ardenghifer@gmail.com
Another example of “same ole, same ole!” in interpersonal studies. I really wonder when researchers will get with the program and use cutting edge mathematics, as opposed to outdated statistical approaches.
James Houran, Ph.D.
Research Psychologist
Online Dating Magazine