SSRN Home Search and Download Papers Browse Abstract and Paper Submission Subscribe to Networks View Briefcase Top Papers Top Authors Top Institutions

 

Abstract

 
 

References (26)

Beta

 
 

Citations (15)

Beta

 


 



Structural Estimation of Marriage Models

Linda Y. Wong
University of Iowa - Henry B. Tippie College of Business - Department of Economics


January 2002


Abstract:     
This paper uses a structural approach to examine who matches with whom. A two-sided matching model that allows for marital sorting in response to marriage market flexibility and agents' preferences is utilized. Estimation is based on imbedding the numerical solution of a matching model within a maximum-likelihood procedure. Results using the Panel Study of Income Dynamics (PSID, 1968-1993) indicate that wage is a more desirable trait than education in predicting marriageability for white men, while education is more desirable for black men. The marriage market for white men is also more flexible. The desirability of wage and marriage market flexibility both decrease with age for white men. The effects of age for black men are mixed.

Keywords: Positive Assortative Mating, Marriage Classes, Classification Errors

JEL Classifications: J1, J41, C6, C33

Working Paper Series

Date posted: April 05, 2002 ; Last revised: April 24, 2002

Suggested Citation

Wong, Linda Y., Structural Estimation of Marriage Models (January 2002). Available at SSRN: http://ssrn.com/abstract=305482 or doi:10.2139/ssrn.305482


Export to: Export Citation What's this?

Contact Information

Linda Y. Wong (Contact Author)
University of Iowa - Henry B. Tippie College of Business - Department of Economics ( email )
108 Pappajohn Building
Iowa City, IA 52242
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 1,344
Downloads: 102
Download Rank: 81,637
References: 26
Citations: 15

© 2010 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was served by apollo5b in 0.344 seconds.