Arbitrated Matching: Formulation and Protocol

This paper presents an arbitration approach to bipartite matching in which a set of actors are matched up with a set of mates in a one-to-one manner. The arbitration is composed of two stages, viz. stage I in which ordinal preference is elicited on a need-to basis until all stable matchings are obta...

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Main Authors: NG, W. Y., CHOI, K. W., SHUM, Kam Hong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1996
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Online Access:https://ink.library.smu.edu.sg/sis_research/1069
http://dx.doi.org/10.1016/0377-2217(94)00182-0
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spelling sg-smu-ink.sis_research-20682010-12-22T08:24:06Z Arbitrated Matching: Formulation and Protocol NG, W. Y. CHOI, K. W. SHUM, Kam Hong This paper presents an arbitration approach to bipartite matching in which a set of actors are matched up with a set of mates in a one-to-one manner. The arbitration is composed of two stages, viz. stage I in which ordinal preference is elicited on a need-to basis until all stable matchings are obtained. Stage II is sequential bargaining in which risk preference information is extracted by eliciting certainty equivalents of default randomizations declared by the arbitrator. Stage II comes out with a particular stable subset, randomization of which is preferable for all, to that of the entire stable set. Stage II is particularly effective when actors and mates are risk-averse, whence reducing uncertainty with a smaller randomization set proves to be advantageous to all. We also prove that it is superior to the traditional one-off approach in terms of the elicitation effort required as well as strategyproofness. 1996-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1069 info:doi/10.1016/0377-2217(94)00182-0 http://dx.doi.org/10.1016/0377-2217(94)00182-0 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Bipartite matching Arbitration Bargaining Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Bipartite matching
Arbitration
Bargaining
Databases and Information Systems
spellingShingle Bipartite matching
Arbitration
Bargaining
Databases and Information Systems
NG, W. Y.
CHOI, K. W.
SHUM, Kam Hong
Arbitrated Matching: Formulation and Protocol
description This paper presents an arbitration approach to bipartite matching in which a set of actors are matched up with a set of mates in a one-to-one manner. The arbitration is composed of two stages, viz. stage I in which ordinal preference is elicited on a need-to basis until all stable matchings are obtained. Stage II is sequential bargaining in which risk preference information is extracted by eliciting certainty equivalents of default randomizations declared by the arbitrator. Stage II comes out with a particular stable subset, randomization of which is preferable for all, to that of the entire stable set. Stage II is particularly effective when actors and mates are risk-averse, whence reducing uncertainty with a smaller randomization set proves to be advantageous to all. We also prove that it is superior to the traditional one-off approach in terms of the elicitation effort required as well as strategyproofness.
format text
author NG, W. Y.
CHOI, K. W.
SHUM, Kam Hong
author_facet NG, W. Y.
CHOI, K. W.
SHUM, Kam Hong
author_sort NG, W. Y.
title Arbitrated Matching: Formulation and Protocol
title_short Arbitrated Matching: Formulation and Protocol
title_full Arbitrated Matching: Formulation and Protocol
title_fullStr Arbitrated Matching: Formulation and Protocol
title_full_unstemmed Arbitrated Matching: Formulation and Protocol
title_sort arbitrated matching: formulation and protocol
publisher Institutional Knowledge at Singapore Management University
publishDate 1996
url https://ink.library.smu.edu.sg/sis_research/1069
http://dx.doi.org/10.1016/0377-2217(94)00182-0
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