IDEAS home Printed from https://ideas.repec.org/a/oup/jafrec/v34y2025i3p297-323..html
   My bibliography  Save this article

Impacts of Large School Grants and Admissions Algorithms on Student Achievement and Admissions Diversity: Evidence from High-Performing Kenyan Secondary Schools

Author

Listed:
  • Andrew Brudevold-Newman

Abstract

School grants are a logistically simple intervention that aim to improve education outcomes by empowering school administrators to target spending. This paper studies whether a school upgrade program that provided particularly large school grants—an order of magnitude larger than other grant programs studied in developing countries—paired with flexibility to charge higher fees, improved student educational outcomes, as measured by student examination results. The program impact is identified by comparing student outcomes at upgraded schools to student outcomes at schools that met the government’s upgrade eligibility criteria, but were not selected for the upgrade program. I examine cohorts enrolled in the schools prior to the upgrade announcements to avoid potential composition changes resulting from the program. Using this difference-in-differences approach, I find that the program significantly improved outcomes for boys enrolled in the the newly-upgraded schools by 0.17 standard deviations, boosted the likelihood that they scored above a preferential university admissions threshold by 8 percentage points and that the new admissions mechanism admitted comparably-achieving but more geographically diverse students.

Suggested Citation

  • Andrew Brudevold-Newman, 2025. "Impacts of Large School Grants and Admissions Algorithms on Student Achievement and Admissions Diversity: Evidence from High-Performing Kenyan Secondary Schools," Journal of African Economies, Centre for the Study of African Economies, vol. 34(3), pages 297-323.
  • Handle: RePEc:oup:jafrec:v:34:y:2025:i:3:p:297-323.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/jae/ejae011
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:oup:jafrec:v:34:y:2025:i:3:p:297-323.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/csaoxuk.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.