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Games and Economic Behavior
Article . 2026 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://doi.org/10.2139/ssrn.4...
Article . 2024 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2022
License: CC BY
Data sources: Datacite
DBLP
Article . 2026
Data sources: DBLP
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Improving the Deferred Acceptance with Minimal Compromise

Authors: Mustafa Oǧuz Afacan; Umut Dur; A. Arda Gitmez; Özgür Yılmaz;

Improving the Deferred Acceptance with Minimal Compromise

Abstract

In school choice problems, the motivation for students' welfare (efficiency) is restrained by concerns to respect schools' priorities (fairness). Among the fair matchings, even the best one in terms of welfare (SOSM) is inefficient. Moreover, any mechanism that improves welfare over the SOSM is manipulable by the students. First, we characterize the "least manipulable" mechanisms in this class: monotonically-promoting transformation proofness ensures that no student is better off by promoting their assigned school under the true preferences. Second, we use the notion that a matching is less unfair if it yields a smaller set of students whose priorities are violated, and define minimal unfairness accordingly. We then show that the Efficiency Adjusted Deferred Acceptance (EADA) mechanism is minimally unfair in the class of efficient and monotonically-promoting transformation proof mechanisms. When the objective is to improve students' welfare over the SOSM, this characterization implies an important insight into the frontier of the main axioms in school choice.

There is a mistake in the proof of Proposition 3. In particular, in page 20, the claim "\hat{P} is also a monotonic transformation of P at school \mu_i" is not correct. The proof in version v1 remains correct. Submission withdrawn until we fix the mistake

Keywords

FOS: Economics and business, Economics - Theoretical Economics, Theoretical Economics (econ.TH)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green