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Cited by 372

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Deferred acceptance algorithms: history, theory, practice, and open questions

Open access
Roth, Alvin E.·2008·International Journal of Game Theory

Abstract

The deferred acceptance algorithm proposed by Gale and Shapley (1962) has had a profound influence on market design, both directly, by being adapted into practical matching mechanisms, and, indirectly, by raising new theoretical questions. Deferred acceptance algorithms are at the basis of a number of labor market clearinghouses around the world, and have recently been implemented in school choice systems in Boston and New York City. In addition, the study of markets that have failed in ways that can be fixed with centralized mechanisms has led to a deeper understanding of some of the tasks a marketplace needs to accomplish to perform well. In particular, marketplaces work well when they provide thickness to the market, help it deal with the congestion that thickness can bring, and make it safe for participants to act effectively on their preferences. Centralized clearinghouses organized around the deferred acceptance algorithm can have these properties, and this has sometimes allowed failed markets to be reorganized.

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Metadata

Authors
Roth, A. E.
Venue
International Journal of Game Theory
Published
2008-01-29
Volume
36
Issue
3-4
Pages
537-569
ISSN
  • 0020-7276 (ISSN-L)
  • 1432-1270
OpenAlex
W2261048370
Cited by
372
References
2
FWCI
21.23
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Deferred acceptance algorithms: history, theory, practice, and open questions. https://app.cochat.ai/papers/10.1007/s00182-008-0117-6
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Roth, A. E. (2008). Deferred acceptance algorithms: history, theory, practice, and open questions. International Journal of Game Theory. https://doi.org/10.1007/s00182-008-0117-6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.