IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v244y2024i1-2p5-36n1.html
   My bibliography  Save this article

Does Early Educational Tracking Contribute to Gender Gaps in Test Achievement? A Cross-Country Assessment

Author

Listed:
  • Lorenz Theresa

    (Financial Literacy Division, Austrian Central Bank (OeNB), Vienna, Austria)

  • Schneebaum Alyssa

    (Department of Economics, Vienna University of Economics and Business, Welthandelsplatz 1, 1020, Vienna, Austria)

Abstract

On average, boys score higher on math achievement tests and girls score higher in reading; these gaps increase between primary and secondary school. Using PISA, PIRLS, and TIMSS data, we investigate the role of early educational tracking (sorting students into different types of secondary schools at an early age) on gender gaps in test achievement in a cross-country difference-in-differences framework. We find strong evidence that early tracking increases gender differences in reading. For math test scores, we do not find consistent evidence that early tracking contributes to the gender gap.

Suggested Citation

  • Lorenz Theresa & Schneebaum Alyssa, 2024. "Does Early Educational Tracking Contribute to Gender Gaps in Test Achievement? A Cross-Country Assessment," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 244(1-2), pages 5-36, February.
    • Handle: RePEc:jns:jbstat:v:244:y:2024:i:1-2:p:5-36:n:1
    DOI: 10.1515/jbnst-2022-0005
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jbnst-2022-0005
    Download Restriction: no
    File URL: https://libkey.io/10.1515/jbnst-2022-0005?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
    ---><---

    More about this item

    Keywords

    PISA; TIMSS; PIRLS; gender gaps; educational systems; early tracking;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and 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:jns:jbstat:v:244:y:2024:i:1-2:p:5-36:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.