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Matching with Couples Revisited

Authors :
Ashlagi, Itai
Braverman, Mark
Hassidim, Avinatan
Publication Year :
2010

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 find 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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1011.2121
Document Type :
Working Paper