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Cited by 239

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Efficient Matching under Distributional Constraints: Theory and Applications

Open access
Kamada, Yuichiro, Kojima, Fuhito·2015·American Economic Review

Abstract

Many real matching markets are subject to distributional constraints. These constraints often take the form of restrictions on the numbers of agents on one side of the market matched to certain subsets on the other side. Real-life examples include restrictions on regions in medical matching, academic master's programs in graduate admission, and state-financed seats for college admission. Motivated by these markets, we study design of matching mechanisms under distributional constraints. We show that existing matching mechanisms suffer from inefficiency and instability, and propose a mechanism that is better in terms of efficiency, stability, and incentives while respecting the distributional constraints. (JEL C70, D61, D63)

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Metadata

Authors
Kamada, Y., & Kojima, F.
Venue
American Economic Review
Published
2015-01-01
Volume
105
Issue
1
Pages
67-99
ISSN
0002-8282 (ISSN-L)
OpenAlex
W2060580529
Cited by
239
References
2
FWCI
41.64
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Efficient Matching under Distributional Constraints: Theory and Applications. https://app.cochat.ai/papers/10.1257/aer.20101552
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Kamada, Y., & Kojima, F. (2015). Efficient Matching under Distributional Constraints: Theory and Applications. American Economic Review. https://doi.org/10.1257/aer.20101552

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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.