School choice with priority-based affirmative action: A responsive solution
Zhenhua Jiao and
Ziyang Shen ()
Journal of Mathematical Economics, 2021, vol. 92, issue C, 1-9
Abstract:
We propose a solution to the school choice problem with priority-based affirmative action. This solution is a special case of Kesten’s efficiency-adjusted deferred acceptance mechanism (henceforth, EADAM), specifically, we require that all minority students should give consent to priority waiving while none of the majority students consent. We formalize this solution as efficiency-adjusted deferred acceptance mechanism with only minorities consenting (henceforth, EADAMm). While it is known that when all students consent, the EADAM is not responsive to the priority-based affirmative action, we show that the EADAMm is responsive to the priority-based affirmative action. Inherited from the EADAM, the EADAMm satisfies reasonable fairness but lacks strategy-proofness. We further show that there is no reasonably fair and strategy-proof mechanism that is also responsive to the priority-based affirmative action.
Keywords: Efficiency-adjusted deferred acceptance mechanism; School choice; Priority-based affirmative action; Responsiveness (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304406820301129
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:mateco:v:92:y:2021:i:c:p:1-9
DOI: 10.1016/j.jmateco.2020.10.007
Access Statistics for this article
Journal of Mathematical Economics is currently edited by Atsushi (A.) Kajii
More articles in Journal of Mathematical Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().