The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Effective affirmative action in school choice
Open accessAbstract
The prevalent affirmative action policy in school choice limits the number of admitted majority students to give minority students higher chances to attend their desired schools. There have been numerous efforts to reconcile affirmative action policies with celebrated matching mechanisms such as the deferred acceptance and top trading cycles algorithms. Nevertheless, it is theoretically shown that under these algorithms, the policy based on majority quotas may be detrimental to minorities. Using simulations, we find that this is a more common phenomenon rather than a peculiarity. To circumvent the inefficiency caused by majority quotas, we offer a different interpretation of the affirmative action policies based on minority reserves. With minority reserves, schools give higher priority to minority students up to the point that the minorities fill the reserves. We compare the welfare effects of these policies. The deferred acceptance algorithm with minority reserves Pareto dominates the one with majority quotas. Our simulations, which allow for correlations between student preferences and school priorities, indicate that minorities are, on average, better off with minority reserves while adverse effects on majorities are mitigated.
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Cites
College Admissions and the Stability of Marriage
Gale, D., & Shapley, L. S. (1962) · The American Mathematical Monthly · doi:10.1080/00029890.1962.11989827 · Cited by 5,985
College Admissions and the Stability of Marriage
Gale, D., & Shapley, L. S. (1962) · American Mathematical Monthly · doi:10.2307/2312726 · Cited by 2,082
School Choice: A Mechanism Design Approach
Abdulkadiroğlu, A., & Sönmez, T. (2003) · American Economic Review · doi:10.1257/000282803322157061 · Cited by 1,568
Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis
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World development report 2006: equity and development
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The Economics of Matching: Stability and Incentives
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Benhabib, J., Bisin, A., & Jackson, M. O. (2011) · Cited by 824
Machiavelli and the Gale-Shapley Algorithm
Dubins, L. E., & Freedman, D. A. (1981) · The American Mathematical Monthly · doi:10.1080/00029890.1981.11995301 · Cited by 654
The New York City High School Match
Abdulkadiroğlu, A., Pathak, P. A., & Roth, A. E. (2005) · American Economic Review · doi:10.1257/000282805774670167 · Cited by 654
Cited by
Robertson, S., Nguyen, T., & Salehi, N. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445748 · Cited by 67
Assignment Mechanisms Under Distributional Constraints
Ashlagi, I., Saberi, A., & Shameli, A. (2020) · Operations Research · doi:10.1287/opre.2019.1887 · Cited by 11
Metadata
- Authors
- Hafalir, I. E., Yenmez, M. B., & Yildirim, M. A.
- Venue
- Theoretical Economics
- Publisher
- The Econometric Society
- Published
- 2013-05
- Volume
- 8
- Issue
- 2
- Pages
- 325-363
- ISSN
- 1555-7561 (ISSN-L)
- 1933-6837
- OpenAlex
- W1946154213
- Cited by
- 278
- References
- 45
- FWCI
- 26.38
- Type
- journal article
- Language
- en
- Open access
- diamond
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