Arbeitspapier
Improving Transparency and Verifiability in School Admissions: Theory and Experiment
Students participating in centralized admissions procedures do not typically have access to the information used to determine their matched school, such as other students' preferences or school priorities. This can lead to doubts about whether their matched schools were computed correctly (the 'Verifiability Problem') or, at a deeper level, whether the promised admissions procedure was even used (the 'Transparency Problem'). In a general centralized admissions model that spans many popular applications, we show how these problems can be addressed by providing appropriate feedback to students, even without disclosing sensitive private information like other students' preferences or school priorities. In particular, we show that the Verifiability Problem can be solved by (1) publicly communicating the minimum scores required to be matched to a school ('cutoffs'); or (2) using `predictable' preference elicitation procedures that convey rich 'experiential' information. In our main result, we show that the Transparency Problem can be solved by using cutoffs and predictable procedures together. We find strong support for these solutions in a laboratory experiment, and show how they can be simply implemented for popular school admissions applications involving top trading cycles, and deferred and immediate acceptance.
- Sprache
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Englisch
- Erschienen in
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Series: Discussion Paper ; No. 376
- Klassifikation
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Wirtschaft
Bargaining Theory; Matching Theory
Stochastic and Dynamic Games; Evolutionary Games; Repeated Games
Positive Analysis of Policy Formulation and Implementation
Asymmetric and Private Information; Mechanism Design
- Thema
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school choice
matching
transparency
cutoffs
dynamic mechanisms
experiment
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Hakimov, Rustamdjan
Raghavan, Madhav
- Ereignis
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Veröffentlichung
- (wer)
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Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition
- (wo)
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München und Berlin
- (wann)
-
2023
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Hakimov, Rustamdjan
- Raghavan, Madhav
- Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition
Entstanden
- 2023