Respecting priorities versus respecting preferences in school choice: When is there a trade-off?

• 成果类型: Article
• 署名作者: Cantillon, Estelle; Chen, Li; Pereyra, Juan S.
• 署名单位: Universite Libre de Bruxelles; Fonds de la Recherche Scientifique - FNRS; Centre for Economic Policy Research - UK; Tongji University; University of Gothenburg; Universidad de Montevideo
• 刊物名称: GAMES AND ECONOMIC BEHAVIOR
• ISSN/ISSBN: 0899-8256
• DOI: 10.1016/j.geb.2024.08.012
• 发表日期: 2024
• 页码: 82-96
• 关键词: Matching; Envyfreeness; fairness; EFFICIENCY; priorities; preferences; Mutually best pairs

摘要

A classic trade-off that school districts face when deciding which matching algorithm to use is that it is not possible to always respect both priorities and preferences. The student-proposing deferred acceptance algorithm (DA) respects priorities but can lead to inefficient allocations. We identify a new condition on school choice markets under which DA is efficient. Our condition generalizes earlier conditions by placing restrictions on how preferences and priorities relate to one another only on the parts that are relevant for the assignment. Whenever there is a unique allocation that respects priorities, our condition captures all the environments for which DA is efficient. We show through stylized examples and simulations that our condition significantly expands the range of known environments for which DA is efficient. We also discuss how our condition sheds light on existing empirical findings.