Please use this identifier to cite or link to this item: https://doi.org/10.1287/moor.1060.0207
DC FieldValue
dc.titleMany-to-one stable matching: Geometry and fairness
dc.contributor.authorSethuraman, J.
dc.contributor.authorTeo, C.-P.
dc.contributor.authorQian, L.
dc.date.accessioned2013-10-09T06:18:46Z
dc.date.available2013-10-09T06:18:46Z
dc.date.issued2006
dc.identifier.citationSethuraman, J., Teo, C.-P., Qian, L. (2006). Many-to-one stable matching: Geometry and fairness. Mathematics of Operations Research 31 (3) : 581-596. ScholarBank@NUS Repository. https://doi.org/10.1287/moor.1060.0207
dc.identifier.issn0364765X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/44211
dc.description.abstractBaïou and Balinski characterized the stable admissions polytope using a system of linear inequalities. The structure of feasible solutions to this system of inequalities - fractional stable matchings - is the focus of this paper. The main result associates a geometric structure with each fractional stable matching. This insight appears to be interesting in its own right, and can be viewed as a generalization of the lattice structure (for integral stable matchings) to fractional stable matchings. In addition to obtaining simple proofs of many known results, the geometric structure is used to prove the following two results: First, it is shown that assigning each agent their "median" choice among all stable partners results in a stable matching, which can be viewed as a "fair" compromise; second, sufficient conditions are identified under which stable matchings exist in a problem with externalities, in particular, in the stable matching problem with couples. © 2006 INFORMS.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1287/moor.1060.0207
dc.sourceScopus
dc.subjectFairness
dc.subjectLinear programming
dc.subjectMatching with couples
dc.subjectRandomized rounding
dc.subjectStable matching
dc.subjectTwo-sided market
dc.subjectUniversity admissions
dc.typeArticle
dc.contributor.departmentCOMPUTATIONAL SCIENCE
dc.contributor.departmentDECISION SCIENCES
dc.description.doi10.1287/moor.1060.0207
dc.description.sourcetitleMathematics of Operations Research
dc.description.volume31
dc.description.issue3
dc.description.page581-596
dc.description.codenMORED
dc.identifier.isiut000240245200009
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