Matching with Couples: Stability and Algorithm

Zhishan Jiang and Guoqiang Tian

MPRA Paper from University Library of Munich, Germany

Abstract: This paper defines a notion of semi-stability for matching problem with couples, which is a natural generalization of, and further identical to, the conventional stability for matching without couples. It is shown that there always exists a semi-stable matching for couples markets with strict preferences, and the set of semi-stable matchings can be partitioned into subsets, each of which forms a distributive lattice. We further prove that a semi-stable matching is stable when couples play reservation strategies. This result perfectly explains the puzzle of NRMP even for finite markets. Moreover, we define a notion of asymptotic stability and present sufficient conditions for a sequential couples market to be asymptotically stable. Another remarkable contribution is that we develop a new algorithm, called Persistent Improvement Algorithm, for finding semi-stable matchings, which is also more efficient than the Gale-Shapley algorithm for finding stable matchings for singles markets. Lastly, this paper investigates the welfare property and incentive issues of semi-stable mechanisms.

Keywords: Matching with couples; stability; semi-stability; asymptotic stability; algorithm (search for similar items in EconPapers)
JEL-codes: C78 J41 (search for similar items in EconPapers)
Date: 2013-11, Revised 2014-07
New Economics Papers: this item is included in nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/57936/1/MPRA_paper_57936.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:57936

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().