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Personality Traits and the Marriage Market

Arnaud Dupuy

LISER; Maastricht School of Management (MSM); IZA Institute of Labor Economics

Alfred Galichon

NYU, Department of Economics and Courant Institute

IZA Discussion Paper No. 6943

Which and how many attributes are relevant for the sorting of agents in a matching market? This paper addresses these questions by constructing indices of mutual attractiveness that aggregate information about agents' attributes. The first k indices for agents on each side of the market provide the best approximation of the matching surplus by a k-dimensional model. The methodology is applied on a unique Dutch household survey containing information about education, height, BMI, health, attitude towards risk and personality traits of spouses. Three important empirical conclusions are drawn. First, sorting in the marriage market is not unidimensional: individuals face important trade-offs between the attributes of their spouses which are not amenable to a single-dimensional index. Second, although education explains a quarter of a couple's observable surplus, personality traits explain another 20%. Third, different personality traits matter differently for men and for women.

Number of Pages in PDF File: 43

Keywords: multidimensional sorting, saliency analysis, marriage market, personality traits, continuous logit

JEL Classification: D3, J21, J23, J31

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Date posted: October 27, 2012  

Suggested Citation

Dupuy, Arnaud and Galichon, Alfred, Personality Traits and the Marriage Market. IZA Discussion Paper No. 6943. Available at SSRN: https://ssrn.com/abstract=2167565

Contact Information

Arnaud Dupuy (Contact Author)
LISER ( email )
3 avenue de la Fonte
Esch-sur-Alzette, L-4364
+352585855551 (Phone)
Maastricht School of Management (MSM) ( email )
Endepolsdomein 150
Maastricht, Limburg 6201 BE
IZA Institute of Labor Economics
P.O. Box 7240
Bonn, D-53072

Alfred Galichon
NYU, Department of Economics and Courant Institute ( email )
269 Mercer Street, 7th Floor
New York, NY 10011
United States
Feedback to SSRN

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