IDEAS home Printed from https://ideas.repec.org/p/hfa/wpaper/23-04.html
   My bibliography  Save this paper

How Do Students Value an Elite Education? Evidence on Residential Location and Applications to NYC Specialized Schools

Author

Listed:
  • Lawrence Costa

    (Federal Housing Finance Agency)

  • JJ Naddeo

    (Georgetown University)

Abstract

Are students willing to endure long commutes for access to good schools? Using New York City Department of Education administrative data matched with Google transit directions, we find that longer commutes from home markedly deter students from applying to even the most elite high schools. For the top public school in New York State, a student with a 20 minute commute is 74% more likely to apply than one who lives 40 minutes away. For two other schools above the 99th percentile of performance, the differences are 234% and 137%. We also find that eighth grade exam scores relate to how well students understand the admissions process. As far as we are aware, we are the first to have the required location precision to track specific commutes for individual high school students. From a policy perspective, our findings imply that – while expanded school choice may be desirable – housing access near good schools is quite important.

Suggested Citation

  • Lawrence Costa & JJ Naddeo, 2023. "How Do Students Value an Elite Education? Evidence on Residential Location and Applications to NYC Specialized Schools," FHFA Staff Working Papers 23-04, Federal Housing Finance Agency.
  • Handle: RePEc:hfa:wpaper:23-04
    as

    Download full text from publisher

    File URL: https://www.fhfa.gov/PolicyProgramsResearch/Research/PaperDocuments/wp2304.pdf
    Download Restriction: no

    File URL: https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/wp2304.aspx
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas Le Barbanchon & Roland Rathelot & Alexandra Roulet, 2021. "Gender Differences in Job Search: Trading off Commute against Wage," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(1), pages 381-426.
    2. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1107-1162.
    3. Alan B. Krueger & Andreas I. Mueller, 2016. "A Contribution to the Empirics of Reservation Wages," American Economic Journal: Economic Policy, American Economic Association, vol. 8(1), pages 142-179, February.
    4. Will Dobbie & Roland G. Fryer Jr., 2014. "The Impact of Attending a School with High-Achieving Peers: Evidence from the New York City Exam Schools," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 58-75, July.
    5. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    6. Griffith, Amanda L. & Rask, Kevin N., 2014. "Peer effects in higher education: A look at heterogeneous impacts," Economics of Education Review, Elsevier, vol. 39(C), pages 65-77.
    Full references (including those not matched with items on IDEAS)

    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. Kesternich, Iris & Schumacher, Heiner & Siflinger, Bettina & Valder, Franziska, 2022. "Reservation wages and labor supply," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 583-607.
    2. Itzik Fadlon & Frederik Plesner Lyngse & Torben Heien Nielsen, 2022. "Early Career Setbacks and Women’s Career-Family Trade-Off," CEBI working paper series 22-06, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    3. Dinarte Diaz,Lelys Ileana, 2020. "Peer Effects on Violence : Experimental Evidence from El Salvador," Policy Research Working Paper Series 9187, The World Bank.
    4. Deschacht, Nick & Vansteenkiste, Sarah, 2021. "The effect of unemployment duration on reservation wages: Evidence from Belgium," Labour Economics, Elsevier, vol. 71(C).
    5. Alexandra de Gendre & Nicolás Salamanca, 2020. "On the Mechanisms of Ability Peer Effects," Melbourne Institute Working Paper Series wp2020n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Meekes, Jordy & Hassink, Wolter H.J., 2022. "Gender differences in job flexibility: Commutes and working hours after job loss," Journal of Urban Economics, Elsevier, vol. 129(C).
    7. McGee, Andrew & McGee, Peter, 2023. "Gender Differences in Reservation Wages in Search Experiments," IZA Discussion Papers 16577, Institute of Labor Economics (IZA).
    8. Feld, Brian & Nagy, AbdelRahman & Osman, Adam, 2022. "What do jobseekers want? Comparing methods to estimate reservation wages and the value of job attributes," Journal of Development Economics, Elsevier, vol. 159(C).
    9. Hausman, Catherine & Stolper, Samuel, 2021. "Inequality, information failures, and air pollution," Journal of Environmental Economics and Management, Elsevier, vol. 110(C).
    10. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
    11. David Card, 2022. "Design-Based Research in Empirical Microeconomics," American Economic Review, American Economic Association, vol. 112(6), pages 1773-1781, June.
    12. Filiptseva, Anna & Filler, Günther & Odening, Martin, 2022. "Compensation Options for Quarantine Costs in Plant Production," 62nd Annual Conference, Stuttgart, Germany, September 7-9, 2022 329595, German Association of Agricultural Economists (GEWISOLA).
    13. Schleich, Joachim & Faure, Corinne & Guetlein, Marie-Charlotte & Tu, Gengyang, 2020. "Conveyance, envy, and homeowner choice of appliances," Energy Economics, Elsevier, vol. 89(C).
    14. Goergen, Marc & Renneboog, Luc & Correia da Silva, Luis, 2005. "When do German firms change their dividends?," Journal of Corporate Finance, Elsevier, vol. 11(1-2), pages 375-399, March.
    15. Francesco Andreoli & Eugenio Peluso, 2016. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," Working Papers 21/2016, University of Verona, Department of Economics.
    16. Claudia Hupkau & Barbara Petrongolo, 2020. "Work, Care and Gender during the COVID‐19 Crisis," Fiscal Studies, John Wiley & Sons, vol. 41(3), pages 623-651, September.
    17. Martin Van Bueren & Jeff Bennett, 2004. "Towards the development of a transferable set of value estimates for environmental attributes," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(1), pages 1-32, March.
    18. Kelley Sarussi & Thomas Walstrum, 2019. "Education and the Evolution of Earnings Across Population Groups Since 2000," Profitwise, Federal Reserve Bank of Chicago, issue 5, pages 1-13.
    19. Stephan Heblich & Stephen J Redding & Daniel M Sturm, 2020. "The Making of the Modern Metropolis: Evidence from London," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2059-2133.
    20. Bratu, Cristina & Bolotnyy, Valentin, 2023. "Immigrant intergenerational mobility: A focus on childhood environment," European Economic Review, Elsevier, vol. 151(C).

    More about this item

    Keywords

    education; school choice; housing access;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    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:hfa:wpaper:23-04. 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: William Doerner (email available below). General contact details of provider: https://edirc.repec.org/data/fhfaaus.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.