IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp10079.html
   My bibliography  Save this paper

Teaching Accreditation Exams Reveal Grading Biases Favor Women in Male-Dominated Disciplines in France

Author

Listed:
  • Breda, Thomas

    () (Paris School of Economics)

  • Hillion, Melina

    () (Paris School of Economics)

Abstract

Discrimination against women is seen as one of the possible causes behind their underrepresentation in certain STEM (Science, Technology, Engineering, and Mathematics) subjects. We show that this is not the case at the competitive exams used to recruit almost all French secondary and postsecondary teachers and professors. Comparisons of oral non gender-blind tests with written gender-blind tests for about 100,000 individuals observed in 11 different fields over the period 2006-2013 reveal a bias in favor of women that is strongly increasing with the extent of a field's male-domination. This bias turns from 3 to 5 percentile ranks for men in literature and foreign languages to about 10 percentile ranks for women in math, physics or philosophy. These findings have implications for the debate over what interventions are appropriate to increase the representation of women in fields in which they are currently underrepresented.

Suggested Citation

  • Breda, Thomas & Hillion, Melina, 2016. "Teaching Accreditation Exams Reveal Grading Biases Favor Women in Male-Dominated Disciplines in France," IZA Discussion Papers 10079, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp10079
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp10079.pdf
    Download Restriction: no

    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. Thomas Breda & Julien Grenet & Marion Monnet & Clémentine Van Effenterre, 2018. "Can female role models reduce the gender gap in science? Evidence from classroom interventions in French high schools," PSE Working Papers halshs-01713068, HAL.
    2. Nathalie Greenan & Joseph Lanfranchi & Yannick L'Horty & Mathieu Narcy & Guillaume Pierné, 2016. "Inégalités et discriminations dans l’accès à la fonction publique d’Etat : une évaluation par l’analyse des fichiers administratifs de concours," TEPP Research Report 2016-06, TEPP.

    More about this item

    Keywords

    discrimination; evaluation bias; gender stereotypes; natural experiment; gender gap in science; preference for opposite gender;

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:iza:izadps:dp10079. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: http://www.iza.org .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.