IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/2024-18.html
   My bibliography  Save this paper

Institution, Major, and Firm-Specific Premia: Evidence from Administrative Data

Author

Listed:

Abstract

We examine how a student's field of degree and institution attended contribute to the labor market outcomes of young graduates. Administrative panel data that combines student transcripts with matched employer-employee records allow us to provide the first decomposition of premia into individual and firm-specific components. We find that both major and institutional premia are more strongly related to the firm-specific component of wages than the individual-specific component of wages. On average, a student's major is a more important predictor of future wages than the selectivity of the institution attended, but major premia (and their relative ranking) can differ substantially across institutions, suggesting the importance of program-level data for prospective students and their parents.

Suggested Citation

  • Ben Ost & Weixiang Pan & Douglas A. Webber, 2024. "Institution, Major, and Firm-Specific Premia: Evidence from Administrative Data," Finance and Economics Discussion Series 2024-018, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgfe:2024-18
    DOI: 10.17016/FEDS.2024.018
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econres/feds/files/2024018pap.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.17016/FEDS.2024.018?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
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haggag, Kareem & Patterson, Richard W. & Pope, Nolan G. & Feudo, Aaron, 2021. "Attribution bias in major decisions: Evidence from the United States Military Academy," Journal of Public Economics, Elsevier, vol. 200(C).

    More about this item

    Keywords

    College major; Higher education; Wage decomposition; Returns to institution; Firm effect; College premium;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:fip:fedgfe:2024-18. 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: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.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.