Constrained school choice: an experimental QRE analysis

The theoretical literature on public school choice proposes centralized mechanisms that assign children to schools on the basis of parents’ preferences and the priorities children have for different schools. The related experimental literature analyzes in detail how various mechanisms fare in terms...

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Authors: Alcalde-Unzu, Jorge, Klijn, Flip, Vorsatz, Marc
Format: article
Status:Published version
Publication Date:2023
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/341182
Online Access:http://hdl.handle.net/10261/341182
Access Level:Open access
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dc.title.none.fl_str_mv Constrained school choice: an experimental QRE analysis
title Constrained school choice: an experimental QRE analysis
spellingShingle Constrained school choice: an experimental QRE analysis
Alcalde-Unzu, Jorge
title_short Constrained school choice: an experimental QRE analysis
title_full Constrained school choice: an experimental QRE analysis
title_fullStr Constrained school choice: an experimental QRE analysis
title_full_unstemmed Constrained school choice: an experimental QRE analysis
title_sort Constrained school choice: an experimental QRE analysis
dc.creator.none.fl_str_mv Alcalde-Unzu, Jorge
Klijn, Flip
Vorsatz, Marc
author Alcalde-Unzu, Jorge
author_facet Alcalde-Unzu, Jorge
Klijn, Flip
Vorsatz, Marc
author_role author
author2 Klijn, Flip
Vorsatz, Marc
author2_role author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas (España)
Conferencia de Rectores de las Universidades Españolas
Fundación Ramón Areces
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Generalitat de Catalunya
Ministerio de Ciencia e Innovación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
description The theoretical literature on public school choice proposes centralized mechanisms that assign children to schools on the basis of parents’ preferences and the priorities children have for different schools. The related experimental literature analyzes in detail how various mechanisms fare in terms of welfare and stability of the resulting matchings, yet often provides only aggregate statistics of the individual behavior that leads to these outcomes (i.e., the degree to which subjects tell the truth in the induced simultaneous move game). In this paper, we show that the quantal response equilibrium (QRE) adequately describes individual behavior and the resulting matching in three constrained problems for which the immediate acceptance mechanism and the student-optimal stable mechanism coincide. Specifically, the comparative statics of the logit-QRE with risk-neutral and expected-payoff-maximizing agents capture the directional changes of subject behavior and the prevalence of the different stable matchings when cardinal payoffs (i.e., relative preference intensities) are modified in the experiment.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
2023
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/341182
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The underlying dataset has been published as supplementary material of the article in the publisher platform at http://dx.doi.org/10.1007/s00355-023-01458-2
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spelling Constrained school choice: an experimental QRE analysisAlcalde-Unzu, JorgeKlijn, FlipVorsatz, MarcThe theoretical literature on public school choice proposes centralized mechanisms that assign children to schools on the basis of parents’ preferences and the priorities children have for different schools. The related experimental literature analyzes in detail how various mechanisms fare in terms of welfare and stability of the resulting matchings, yet often provides only aggregate statistics of the individual behavior that leads to these outcomes (i.e., the degree to which subjects tell the truth in the induced simultaneous move game). In this paper, we show that the quantal response equilibrium (QRE) adequately describes individual behavior and the resulting matching in three constrained problems for which the immediate acceptance mechanism and the student-optimal stable mechanism coincide. Specifically, the comparative statics of the logit-QRE with risk-neutral and expected-payoff-maximizing agents capture the directional changes of subject behavior and the prevalence of the different stable matchings when cardinal payoffs (i.e., relative preference intensities) are modified in the experiment.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. The authors gratefully acknowledge financial support from Fundación Ramón Areces. J. Alcalde-Unzu gratefully acknowledges financial support from Ministerio de Ciencia, Innovación y Universidades (PGC2018-093542-B-I00 and PID2021-127119NB-I00). F. Klijn gratefully acknowledges financial support from AGAUR–Generalitat de Catalunya (2017-SGR-1359 and 2021-SGR-00416) and the Spanish Agencia Estatal de Investigación (AEI) through grants ECO2017-88130-P and PID2020-114251GB-I00 and the Severo Ochoa Programme for Centres of Excellence in R&D (Barcelona School of Economics CEX2019-000915-S). M. Vorsatz gratefully acknowledges financial support from Ministerio de Ciencia, Innovación y Universidades (PGC2018-096977-B-I00 and PID2021-122919NB-I00).Peer reviewedSpringerConsejo Superior de Investigaciones Científicas (España)Conferencia de Rectores de las Universidades EspañolasFundación Ramón ArecesAgencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)Generalitat de CatalunyaMinisterio de Ciencia e Innovación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2023202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/341182reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-093542-B-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127119NB-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ECO2017-88130-Pinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114251GB-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2019-000915-Sinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096977-B-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122919NB-I00The underlying dataset has been published as supplementary material of the article in the publisher platform at http://dx.doi.org/10.1007/s00355-023-01458-2http://dx.doi.org/10.1007/s00355-023-01458-2Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3411822026-05-22T06:33:51Z
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