Content area

Abstract

In designing priority-based matching problems, such as school choice, the quota of each school is, to some extent, a design variable for a market designer. We define an ex-post student-optimal stable matching (ESOSM) as a matching that is stable at some implementable quota distribution, and is not Pareto dominated by any stable matching among all implementable quota distributions. A simple question is whether the total resources subject to several constraints are optimally distributed in the above sense. As optimal quota distributions vary depending on students f preferences realized, no predetermined quota distribution is optimal for all of the students f preferences. This requires a new matching mechanism design for the variable quota distributions. We propose the novel mechanism called quota adjustment process (QAP), which endogenously finds an ESOSM and the corresponding optimal quota distribution for any preferences and any initial quota distribution. To put this into practice, we proposed the QAP in the process of admission reform at the University of Tsukuba in Japan. Our proposal was officially approved and implemented at the University of Tsukuba in 2021.

Details

1009240
Subject
Company / organization
Title
Quota Adjustment Process
Publication title
Source details
Institute for Economics Studies, Keio University, Keio-IES Discussion Paper Series
Publication year
2022
Publication date
2022
Publisher
Federal Reserve Bank of St. Louis
Place of publication
St. Louis
Country of publication
United States
Publication subject
Source type
Working Paper
Language of publication
English
Document type
Working Paper
ProQuest document ID
2746614797
Document URL
https://www.proquest.com/working-papers/quota-adjustment-process/docview/2746614797/se-2?accountid=208611
Copyright
©2022. Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at https://research.stlouisfed.org/research_terms.html .
Last updated
2024-11-12
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic