Abstract

 
 

References (16)



 
 

Citations (1)



 


 



Matching with Couples Revisited


Itai Ashlagi


Massachusetts Institute of Technology (MIT) - Sloan School of Management

Mark Braverman


University of Toronto

Avinatan Hassidim


Google, Israel

October 1, 2010

MIT Sloan Research Paper

Abstract:     
It is well known that a stable matching in a many-to-one matching market with couples need not exist. We introduce a new matching algorithm for such markets and show that for a general class of large random markets the algorithm will nd a stable matching with high probability. In particular we allow the number of couples to grow at a near-linear rate. Furthermore, truth-telling is an approximated equilibrium in the game induced by the new matching algorithm. Our results are tight: for markets in which the number of couples grows at a linear rate, we show that with constant probability no stable matching exists.

Number of Pages in PDF File: 33

Keywords: Stability, Matching, Couples, Many-to-One, Algorithm

JEL Classification: C78, C63, C62, D78

working papers series


Download This Paper

Date posted: November 7, 2010 ; Last revised: December 1, 2010

Suggested Citation

Ashlagi, Itai, Braverman, Mark and Hassidim, Avinatan, Matching with Couples Revisited (October 1, 2010). MIT Sloan Research Paper. Available at SSRN: http://ssrn.com/abstract=1703434 or http://dx.doi.org/10.2139/ssrn.1703434

Contact Information

Itai Ashlagi (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
77 Massachusetts Ave.
E62-369
Cambridge, MA 02142
United States
Mark Braverman
University of Toronto ( email )
Toronto, Ontario
Canada
Avinatan Hassidim
Google, Israel ( email )
Israel
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 493
Downloads: 47
References:  16
Citations:  1

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo2 in 0.860 seconds