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Playing the System: Address Manipulation and Access to Schools

Author

Listed:
  • Bjerre-Nielsen, Andreas

    (University of Copenhagen)

  • Christensen, Lykke Sterll

    (University of Copenhagen)

  • Gandil, Mikkel

    (University of Oslo)

  • Sievertsen, Hans Henrik

    (University of Bristol)

Abstract

Strategic incentives may lead to inefficient and unequal provision of public services. A prominent example is school admissions. Existing research shows that applicants "play the system" by submitting school rankings strategically. We investigate whether applicants also play the system by manipulating their eligibility at schools. We analyze this applicant deception in a theoretical model and provide testable predictions for commonly-used admission procedures. We confirm these model predictions empirically by analyzing the implementation of two reforms. First, we find that the introduction of a residence-based school-admission criterion in Denmark caused address changes to increase by more than 100% before the high-school application deadline. This increase occurred only in areas where the incentive to manipulate is high-powered. Second, to assess whether this behavior reflects actual address changes, we study a second reform that required applicants to provide additional proof of place of residence to approve an address change. The second reform significantly reduced address changes around the school application deadline, suggesting that the observed increase in address changes mainly reflects manipulation. The manipulation is driven by applicants from more affluent households and their behavior affects non-manipulating applicants. Counter-factual simulations show that among students not enrolling in their first listed school, more than 25% would have been offered a place in the absence of address manipulation and their peer GPA is 0.2SD lower due to the manipulative behavior of other applicants. Our findings show that popular school choice systems give applicants the incentive to play the system with real implications for non-strategic applicants.

Suggested Citation

  • Bjerre-Nielsen, Andreas & Christensen, Lykke Sterll & Gandil, Mikkel & Sievertsen, Hans Henrik, 2023. "Playing the System: Address Manipulation and Access to Schools," IZA Discussion Papers 16197, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp16197
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    References listed on IDEAS

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    1. Atila Abdulkadiroğlu & Parag A. Pathak & Alvin E. Roth, 2005. "The New York City High School Match," American Economic Review, American Economic Association, vol. 95(2), pages 364-367, May.
    2. Sacerdote, Bruce, 2011. "Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 4, pages 249-277, Elsevier.
    3. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    4. 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.
    5. Monique De Haan & Pieter A. Gautier & Hessel Oosterbeek & Bas van der Klaauw, 2023. "The Performance of School Assignment Mechanisms in Practice," Journal of Political Economy, University of Chicago Press, vol. 131(2), pages 388-455.
    6. Cattan, Sarah & Salvanes, Kjell G. & Tominey, Emma, 2022. "First Generation Elite: The Role of School Networks," IZA Discussion Papers 15560, Institute of Labor Economics (IZA).
    7. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    8. Thomas J. Nechyba, 2000. "Mobility, Targeting, and Private-School Vouchers," American Economic Review, American Economic Association, vol. 90(1), pages 130-146, March.
    9. Alex Rees-Jones & Ran Shorrer, 2023. "Behavioral Economics in Education Market Design: A Forward-Looking Review," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 1(3), pages 557-613.
    10. Caetano, Gregorio, 2019. "Neighborhood sorting and the value of public school quality," Journal of Urban Economics, Elsevier, vol. 114(C).
    11. Gautam Rao, 2019. "Familiarity Does Not Breed Contempt: Generosity, Discrimination, and Diversity in Delhi Schools," American Economic Review, American Economic Association, vol. 109(3), pages 774-809, March.
    12. Aram Grigoryan & Markus Moller, 2023. "A Theory of Auditability for Allocation and Social Choice Mechanisms," Papers 2305.09314, arXiv.org, revised Aug 2023.
    13. Maria Marta Ferreyra, 2007. "Estimating the Effects of Private School Vouchers in Multidistrict Economies," American Economic Review, American Economic Association, vol. 97(3), pages 789-817, June.
    14. Andreas Bjerre-Nielsen & Emil Chrisander, 2022. "Voluntary Information Disclosure in Centralized Matching: Efficiency Gains and Strategic Properties," Papers 2206.15096, arXiv.org.
    15. Orhan Aygün & Inácio Bó, 2021. "College Admission with Multidimensional Privileges: The Brazilian Affirmative Action Case," American Economic Journal: Microeconomics, American Economic Association, vol. 13(3), pages 1-28, August.
    16. Caterina Calsamiglia & Chao Fu & Maia Güell, 2020. "Structural Estimation of a Model of School Choices: The Boston Mechanism versus Its Alternatives," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 642-680.
    17. 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.
    18. Simon Burgess & Estelle Cantillon & Mariagrazia Cavallo & Ellen Greaves & Min Zhang, 2023. "School admissions in England: The rules schools choose on which pupils to admit," ULB Institutional Repository 2013/356676, ULB -- Universite Libre de Bruxelles.
    19. Nikhil Agarwal & Paulo Somaini, 2018. "Demand Analysis Using Strategic Reports: An Application to a School Choice Mechanism," Econometrica, Econometric Society, vol. 86(2), pages 391-444, March.
    20. Eduardo M. Azevedo & Jacob D. Leshno, 2016. "A Supply and Demand Framework for Two-Sided Matching Markets," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1235-1268.
    21. Alvin E. Roth, 1982. "The Economics of Matching: Stability and Incentives," Mathematics of Operations Research, INFORMS, vol. 7(4), pages 617-628, November.
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    1. Devansh Jalota & Michael Ostrovsky & Marco Pavone, 2024. "When Simple is Near-Optimal in Security Games," Papers 2402.11209, arXiv.org, revised Feb 2024.

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    More about this item

    Keywords

    education; human capital; inequality;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory

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