Fairness under affirmative action policies with overlapping reserves
Umut Dur and
Yanning Zhang
Journal of Mathematical Economics, 2023, vol. 109, issue C
Abstract:
We study the allocation of homogeneous positions under affirmative action policies where some positions are reserved for underrepresented groups on a “minimum guarantee” basis. Each individual has a merit-based score and may be eligible for multiple reserves. When an individual counts towards each of the reserves that she is eligible for upon admission, we propose a choice function that satisfies three properties: the minimum guarantee requirement, non-wastefulness, and a stronger fairness notion than the one introduced by Sönmez and Yenmez (2019). Our proposed choice function is the unique one that produces an assignment achieving the maximal cutoff score in a recursive way among all non-wasteful assignments satisfying the minimum guarantee requirement. We show that the outcome of this choice function is not score-wise dominated by any other assignment that satisfies the minimum guarantee requirement.
Keywords: Market design; Matching; Affirmative action; Diversity (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304406823001003
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:109:y:2023:i:c:s0304406823001003
DOI: 10.1016/j.jmateco.2023.102907
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 ().