IDEAS home Printed from https://ideas.repec.org/p/uto/dipeco/201921.html
   My bibliography  Save this paper

Gender discrimination in academic careers in Italy

Author

Listed:

Abstract

The article analyses the effect of gender in Italian professors’ career advancement using data on the entire population of professors in the Italian university system, data on the National Scientific Qualification (NSQ) accreditation scheme, and data on scientific productivity (SciVal) for bibliometric scientific sectors. As NSQ accreditation is a prerequisite for career advancement in Italian universities, using this data makes it possible to rule out women’s reluctance to apply for promotions and low productivity as mechanisms for explaining the gender gap in academia. In fact, candidate professors must apply for accreditation and reach a minimum level of scientific productivity established by the accreditation committees. Among academics who obtained NSQ accreditation, our findings show that gender differences in productivity do not fully explain women’s lower rate of career advancement. The gender gap also remains after controlling for available resources and for the percentage of female full professors in the academic scientific sector.

Suggested Citation

  • Filandri, Marianna & Pasqua, Silvia, 2019. "Gender discrimination in academic careers in Italy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201921, University of Turin.
  • Handle: RePEc:uto:dipeco:201921
    as

    Download full text from publisher

    File URL: https://www.est.unito.it/do/home.pl/Download?doc=/allegati/wp2019dip/wp_21_2019.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Jacques Mairesse & Michele Pezzoni, 2015. "Does Gender Affect Scientific Productivity ?. A Critical Review of the Empirical Evidence and a Panel Data Econometric Analysis for French Physicists," Revue économique, Presses de Sciences-Po, vol. 66(1), pages 65-113.
    2. Beaudry, Catherine & Larivière, Vincent, 2016. "Which gender gap? Factors affecting researchers’ scientific impact in science and medicine," Research Policy, Elsevier, vol. 45(9), pages 1790-1817.
    3. Hassink, Wolter & Russo, Giovanni, 2010. "The Glass Door: The Gender Composition of Newly-Hired Workers Across Hierarchical Job Levels," IZA Discussion Papers 4858, Institute of Labor Economics (IZA).
    4. Kaiser, Lutz C., 2014. "The Gender-Career Estimation Gap," IZA Discussion Papers 8185, Institute of Labor Economics (IZA).
    5. Krawczyk, Michał & Smyk, Magdalena, 2016. "Author׳s gender affects rating of academic articles: Evidence from an incentivized, deception-free laboratory experiment," European Economic Review, Elsevier, vol. 90(C), pages 326-335.
    6. Maria De Paola & Vincenzo Scoppa, 2015. "Gender Discrimination and Evaluators’ Gender: Evidence from Italian Academia," Economica, London School of Economics and Political Science, vol. 82(325), pages 162-188, January.
    7. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 5-51.
    8. Lutz Kaiser, 2014. "The Gender-Career Estimation Gap," Proceedings of International Academic Conferences 0300349, International Institute of Social and Economic Sciences.
    9. Luca Nunziata & Francesca Marino, 2017. "The labor market in Italy, 2000–2016," IZA World of Labor, Institute of Labor Economics (IZA), pages 407-407, December.
    10. W.H.J. Hassink & G. Russo, 2010. "The Glass Door: The Gender Composition of Newly-Hired Workers Across Hierarchical Job Levels," Working Papers 10-06, Utrecht School of Economics.
    11. Marco Pautasso, 2015. "The Italian University Habilitation and the Challenge of Increasing the Representation of Women in Academia," Challenges, MDPI, Open Access Journal, vol. 6(1), pages 1-16, March.
    12. Giovanni Abramo & Ciriaco Andrea D’Angelo & Alessandro Caprasecca, 2009. "Gender differences in research productivity: A bibliometric analysis of the Italian academic system," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 517-539, June.
    13. Maria De Paola & Michela Ponzo & Vincenzo Scoppa, 2017. "Gender differences in the propensity to apply for promotion: evidence from the Italian Scientific Qualification," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 986-1009.
    14. Antecol, Heather & Cobb-Clark, Deborah A., 2013. "Do psychosocial traits help explain gender segregation in young people's occupations?," Labour Economics, Elsevier, vol. 21(C), pages 59-73.
    15. Jappelli, Tullio & Nappi, Carmela Anna & Torrini, Roberto, 2017. "Gender effects in research evaluation," Research Policy, Elsevier, vol. 46(5), pages 911-924.
    16. Daniele Checchi & Silvia Poli & Enrico Rettore, 2018. "Does Random Selection of Selectors Improve the Quality of Selected Candidates? An Investigation in the Italian Academia," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 4(2), pages 211-247, July.
    17. Grund, Christian, 2015. "Gender pay gaps among highly educated professionals — Compensation components do matter," Labour Economics, Elsevier, vol. 34(C), pages 118-126.
    18. Cathrine Seierstad & Geraldine Healy, 2012. "Women’s equality in the Scandinavian academy: a distant dream?," Work, Employment & Society, British Sociological Association, vol. 26(2), pages 296-313, April.
    19. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 52-83.
    Full references (including those not matched with items on IDEAS)

    More about this item

    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:uto:dipeco:201921. 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: (Piero Cavaleri) or (Marina Grazioli). General contact details of provider: http://edirc.repec.org/data/detorit.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.