Matching with couples revisited

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 large random markets the algorithm will find a stable matching with high probability. In our model we allow the number of cou...

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Main Authors: Ashlagi, Itai, Braverman, Mark, Hassidim, Avinatan
Other Authors: Sloan School of Management
Format: Article
Language:en_US
Published: Association for Computing Machinery 2014
Online Access:http://hdl.handle.net/1721.1/87606
https://orcid.org/0000-0003-2124-738X
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author Ashlagi, Itai
Braverman, Mark
Hassidim, Avinatan
author2 Sloan School of Management
author_facet Sloan School of Management
Ashlagi, Itai
Braverman, Mark
Hassidim, Avinatan
author_sort Ashlagi, Itai
collection MIT
description 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 large random markets the algorithm will find a stable matching with high probability. In our model 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.
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spelling mit-1721.1/876062022-10-01T04:44:35Z Matching with couples revisited Ashlagi, Itai Braverman, Mark Hassidim, Avinatan Sloan School of Management Ashlagi, Itai 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 large random markets the algorithm will find a stable matching with high probability. In our model 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. 2014-06-02T17:22:51Z 2014-06-02T17:22:51Z 2011-06 2010-10 Article http://purl.org/eprint/type/ConferencePaper 9781450302616 1544-5372 1544-5380 http://hdl.handle.net/1721.1/87606 Ashlagi, Itai, Mark Braverman, and Avinatan Hassidim. “Matching with Couples Revisited. [Extended Abstract]” Proceedings of the 12th ACM Conference on Electronic Commerce - EC ’11 (2011), June 5-9, 2011, San Jose, California, USA. https://orcid.org/0000-0003-2124-738X en_US http://dx.doi.org/10.1145/1993574.1993628 Proceedings of the 12th ACM conference on Electronic Commerce - EC '11 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery Other univ. web domain
spellingShingle Ashlagi, Itai
Braverman, Mark
Hassidim, Avinatan
Matching with couples revisited
title Matching with couples revisited
title_full Matching with couples revisited
title_fullStr Matching with couples revisited
title_full_unstemmed Matching with couples revisited
title_short Matching with couples revisited
title_sort matching with couples revisited
url http://hdl.handle.net/1721.1/87606
https://orcid.org/0000-0003-2124-738X
work_keys_str_mv AT ashlagiitai matchingwithcouplesrevisited
AT bravermanmark matchingwithcouplesrevisited
AT hassidimavinatan matchingwithcouplesrevisited