IDEAS home Printed from https://ideas.repec.org/a/spr/reihed/v66y2025i6d10.1007_s11162-025-09853-7.html
   My bibliography  Save this article

Tuition Reduction and Student Loan Debt: Evidence from the North Carolina Promise

Author

Listed:
  • William Zahran

    (University of Florida)

  • Daniel Klasik

    (University of North Carolina at Chapel Hill)

Abstract

College promise programs can be found in every state in the country, though they vary widely in design. Most programs aim to reduce the tuition and fees students pay with the goal of increasing educational attainment and reducing the financial burden on students. The NC Promise policy functions in this space by reducing tuition for all students attending one of three campuses in the University of North Carolina (UNC) System. In this study, we investigate how NC Promise affects other sources of aid students receive, with a focus on whether it reduces student borrowing. Using student-level financial aid data from the University of North Carolina System, we employ a difference-in-difference framework to estimate the relationship between NC Promise and student loan debt. We find that NC Promise reduced student borrowing by approximately $1,100 per year among students with a family income above $55,000 who were already enrolled when NC Promise began. We also find a statistically significant decrease in state grants across multiple subgroups of students. We discuss how the design of NC Promise and similar financial aid programs can inform state policymaking to reduce student debt.

Suggested Citation

  • William Zahran & Daniel Klasik, 2025. "Tuition Reduction and Student Loan Debt: Evidence from the North Carolina Promise," Research in Higher Education, Springer;Association for Institutional Research, vol. 66(6), pages 1-38, September.
  • Handle: RePEc:spr:reihed:v:66:y:2025:i:6:d:10.1007_s11162-025-09853-7
    DOI: 10.1007/s11162-025-09853-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11162-025-09853-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11162-025-09853-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:spr:reihed:v:66:y:2025:i:6:d:10.1007_s11162-025-09853-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.