IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/26568.html
   My bibliography  Save this paper

Revealed Preference Analysis of School Choice Models

Author

Listed:
  • Nikhil Agarwal
  • Paulo J. Somaini

Abstract

Preferences for schools are important determinants of equitable access to high-quality education, effects of expanded choice on school improvement and school choice mechanism design. Standard methods for estimating consumer preferences are not applicable in education markets because students do not always get their first choice school. This review describes recently developed methods for using rich data from a school choice mechanism to estimate student preferences. Our objectives are to present a unifying framework for these methods and to help applied researchers decide which techniques to use. After laying out methodological issues, we provide an overview of empirical results obtained using these models and discuss some open questions.

Suggested Citation

  • Nikhil Agarwal & Paulo J. Somaini, 2019. "Revealed Preference Analysis of School Choice Models," NBER Working Papers 26568, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:26568
    Note: ED IO
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w26568.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Caroline Minter Hoxby, 2003. "School Choice and School Productivity. Could School Choice Be a Tide that Lifts All Boats?," NBER Chapters, in: The Economics of School Choice, pages 287-342, National Bureau of Economic Research, Inc.
    2. Atila Abdulkadiroğlu & Joshua D. Angrist & Yusuke Narita & Parag A. Pathak, 2017. "Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation," Econometrica, Econometric Society, vol. 85, pages 1373-1432, September.
    3. Gabrielle Fack & Julien Grenet & Yinghua He, 2019. "Beyond Truth-Telling: Preference Estimation with Centralized School Choice and College Admissions," American Economic Review, American Economic Association, vol. 109(4), pages 1486-1529, April.
    4. Shengwu Li, 2017. "Obviously Strategy-Proof Mechanisms," American Economic Review, American Economic Association, vol. 107(11), pages 3257-3287, November.
    5. Simon Burgess & Ellen Greaves & Anna Vignoles & Deborah Wilson, 2015. "What Parents Want: School Preferences and School Choice," Economic Journal, Royal Economic Society, vol. 125(587), pages 1262-1289, September.
    6. He, Yinghua, 2012. "Gaming the Boston School Choice Mechanism in Beijing," TSE Working Papers 12-345, Toulouse School of Economics (TSE).
    7. Vaart,A. W. van der, 2000. "Asymptotic Statistics," Cambridge Books, Cambridge University Press, number 9780521784504, October.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, October.
    9. Christopher Neilson & Claudia Allende & Francisco Gallego, 2019. "Approximating the Equilibrium Effects of Informed School Choice," Working Papers 628, Princeton University, Department of Economics, Industrial Relations Section..
    10. Michael Dinerstein & Troy D. Smith, 2021. "Quantifying the Supply Response of Private Schools to Public Policies," American Economic Review, American Economic Association, vol. 111(10), pages 3376-3417, October.
    11. Akyol, Pelin & Krishna, Kala, 2017. "Preferences, selection, and value added: A structural approach," European Economic Review, Elsevier, vol. 91(C), pages 89-117.
    12. Avinatan Hassidim & Assaf Romm & Ran I. Shorrer, 2016. ""Strategic" Behavior in a Strategy-Proof Environment," Working Paper 413411, Harvard University OpenScholar.
    13. McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
    14. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mariana Laverde, 2022. "Distance to Schools and Equal Access in School Choice Systems," Boston College Working Papers in Economics 1046, Boston College Department of Economics.
    2. Alfred Galichon & Bernard Salani'e, 2021. "Cupid's Invisible Hand: Social Surplus and Identification in Matching Models," Papers 2106.02371, arXiv.org, revised Jan 2023.
    3. Mariana Laverde, 2022. "Distance to Schools and Equal Access in School Choice Systems," Working Papers 2022-002, Human Capital and Economic Opportunity Working Group.
    4. Nikhil Agarwal & Itai Ashlagi & Michael A. Rees & Paulo Somaini & Daniel Waldinger, 2021. "Equilibrium Allocations Under Alternative Waitlist Designs: Evidence From Deceased Donor Kidneys," Econometrica, Econometric Society, vol. 89(1), pages 37-76, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nikhil Agarwal & Eric Budish, 2021. "Market Design," NBER Working Papers 29367, National Bureau of Economic Research, Inc.
    2. Marco Ovidi, 2021. "Parents know better: primary school choice and student achievement in London," Working Papers 919, Queen Mary University of London, School of Economics and Finance.
    3. Gabrielle Fack & Julien Grenet & Yinghua He, 2019. "Beyond Truth-Telling: Preference Estimation with Centralized School Choice and College Admissions," American Economic Review, American Economic Association, vol. 109(4), pages 1486-1529, April.
    4. Adam J. Kapor & Christopher A. Neilson & Seth D. Zimmerman, 2020. "Heterogeneous Beliefs and School Choice Mechanisms," American Economic Review, American Economic Association, vol. 110(5), pages 1274-1315, May.
    5. Thilo Klein & Robert Aue & Josue Ortega, 2020. "School choice with independent versus consolidated districts," Papers 2006.13209, arXiv.org, revised Jul 2024.
    6. Aue, Robert & Klein, Thilo & Ortega, Josué, 2020. "What happens when separate and unequal school districts merge?," ZEW Discussion Papers 20-032, ZEW - Leibniz Centre for European Economic Research.
    7. Hayri A. Arslan, 2021. "Preference estimation in centralized college admissions from reported lists," Empirical Economics, Springer, vol. 61(5), pages 2865-2911, November.
    8. Emil Chrisander & Andreas Bjerre-Nielsen, 2023. "Why Do Students Lie and Should We Worry? An Analysis of Non-truthful Reporting," Papers 2302.13718, arXiv.org, revised Mar 2023.
    9. He, Yinghua & Magnac, Thierry, 2018. "A Pigouvian Approach to Congestion in Matching Markets," IZA Discussion Papers 11967, Institute of Labor Economics (IZA).
    10. Elisa Facchetti & Lorenzo Neri & Marco Ovidi, 2021. "Should you Meet The Parents? The impact of information on non-test score attributes on school choice," DISCE - Working Papers del Dipartimento di Economia e Finanza def113, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    11. Nikhil Agarwal & Paulo J. Somaini, 2022. "Demand Analysis under Latent Choice Constraints," NBER Working Papers 29993, National Bureau of Economic Research, Inc.
    12. Atila Abdulkadiroglu & Tommy Andersson, 2022. "School Choice," NBER Working Papers 29822, National Bureau of Economic Research, Inc.
    13. Tong Wang & Congyi Zhou, 2020. "High school admission reform in China: a welfare analysis," Review of Economic Design, Springer;Society for Economic Design, vol. 24(3), pages 215-269, December.
    14. Zhang, Jun, 2021. "Level-k reasoning in school choice," Games and Economic Behavior, Elsevier, vol. 128(C), pages 1-17.
    15. YingHua He & Thierry Magnac, 2022. "Application Costs and Congestion in Matching Markets," The Economic Journal, Royal Economic Society, vol. 132(648), pages 2918-2950.
    16. Grenet, Julien & He, YingHua & Kübler, Dorothea, 2022. "Preference Discovery in University Admissions: The Case for Dynamic Multioffer Mechanisms," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 130(6), pages 1-1.
    17. Adam Kapor & Mohit Karnani & Christopher Neilson, 2024. "Aftermarket Frictions and the Cost of Off-Platform Options in Centralized Assignment Mechanisms," Journal of Political Economy, University of Chicago Press, vol. 132(7), pages 2346-2395.
    18. Chen, Yan & Kesten, Onur, 2019. "Chinese college admissions and school choice reforms: An experimental study," Games and Economic Behavior, Elsevier, vol. 115(C), pages 83-100.
    19. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    20. Diether W Beuermann & C Kirabo Jackson & Laia Navarro-Sola & Francisco Pardo, 2023. "What is a Good School, and Can Parents Tell? Evidence on the Multidimensionality of School Output," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 65-101.

    More about this item

    JEL classification:

    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:26568. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.