IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/34936.html

Who Gets What in Education: Can School Matching Improve Student Achievement?

Author

Listed:
  • Atila Abdulkadiroglu
  • Parag A. Pathak
  • Christopher R. Walters

Abstract

We examine two approaches to improving urban school systems: changing who gets to go to existing schools (reallocation) and restructuring school portfolios through closures and reconstitution (resource augmentation). Using data from New York City high schools, we estimate models of school effects allowing for both vertical school quality differences and horizontal student-specific match effects. While sophisticated reallocation policies that optimize student-school matches can generate modest educational gains, they are constrained by limited seats at highly effective schools. Simple resource-augmentation policies targeting replacement of low-performing schools achieve comparable improvements with less systemic disruption. Analysis of NYC's school closures reveals that basic graduation rate metrics effectively identify struggling schools, suggesting complex value-added models may be unnecessary for targeting closure decisions. Our findings indicate that capacity constraints, rather than poor school matching, primarily drive educational inequality.

Suggested Citation

  • Atila Abdulkadiroglu & Parag A. Pathak & Christopher R. Walters, 2026. "Who Gets What in Education: Can School Matching Improve Student Achievement?," NBER Working Papers 34936, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:34936
    Note: ED LS PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w34936.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    JEL classification:

    • 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:34936. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.