IDEAS home Printed from https://ideas.repec.org/a/tpr/restat/v95y2013i1p273-285.html
   My bibliography  Save this article

Top Research Productivity and Its Persistence: Gender as a Double-Edged Sword

Author

Listed:
  • Stijn Kelchtermans

    (University of Leuven and Hogeschool-Universiteit Brussel)

  • Reinhilde Veugelers

    (University of Leuven, CEPR, and ECOOM)

Abstract

The paper contributes to the debate on top performance in research productivity, its persistence over time, and the impact of gender. It uses a panel data set comprising the publications of all biomedical and exact scientists at the University of Leuven in the period 1992 to 2001. We find that women have a significant lower probability of reaching top performance for the first time in their career, particularly for top performance measured through citations, but there is no evidence for a gender bias hindering repeated top performance. On the contrary, women seem to persist in top performance more easily than men do. © 2013 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Suggested Citation

  • Stijn Kelchtermans & Reinhilde Veugelers, 2013. "Top Research Productivity and Its Persistence: Gender as a Double-Edged Sword," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 273-285, March.
  • Handle: RePEc:tpr:restat:v:95:y:2013:i:1:p:273-285
    as

    Download full text from publisher

    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/REST_a_00275
    File Function: link to full text PDF
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. repec:hal:spmain:info:hdl:2441/1seuirq4ak9b9bouu1j29ebui7 is not listed on IDEAS
    2. Guironnet, Jean-Pascal & Peypoch, Nicolas, 2018. "The geographical efficiency of education and research: The ranking of U.S. universities," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 44-55.
    3. Bosquet, Clément & Combes, Pierre-Philippe & Garcia-Penalosa, Cecilia, 2013. "Gender and competition: evidence from academic promotions in France," LSE Research Online Documents on Economics 58350, London School of Economics and Political Science, LSE Library.
    4. Schmal, W. Benedikt & Haucap, Justus & Knoke, Leon, 2023. "The role of gender and coauthors in academic publication behavior," Research Policy, Elsevier, vol. 52(10).
    5. repec:hal:spmain:info:hdl:2441/1mv0mm6vqb8dibn34slm9vhu6d is not listed on IDEAS
    6. Clément Bosquet & Pierre‐Philippe Combes & Cecilia García‐Peñalosa, 2019. "Gender and Promotions: Evidence from Academic Economists in France," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(3), pages 1020-1053, July.
    7. Anne Boring, 2015. "Gender Biases in student evaluations of teachers," Documents de Travail de l'OFCE 2015-13, Observatoire Francais des Conjonctures Economiques (OFCE).
    8. Carrasco, Raquel & Ruiz-Castillo, Javier, 2016. "The gender productivity gap : some evidence for a set of highly productive academic economists," UC3M Working papers. Economics 23525, Universidad Carlos III de Madrid. Departamento de Economía.
    9. repec:hal:wpspec:info:hdl:2441/6ggbvnr6munghes9oc99l12b6 is not listed on IDEAS
    10. Karin Hoisl & Myriam Mariani, 2017. "It’s a Man’s Job: Income and the Gender Gap in Industrial Research," Management Science, INFORMS, vol. 63(3), pages 766-790, March.
    11. Robert H. Bernstein & Michael W. Macy & Wendy M. Williams & Christopher J. Cameron & Sterling Chance Williams-Ceci & Stephen J. Ceci, 2022. "Assessing Gender Bias in Particle Physics and Social Science Recommendations for Academic Jobs," Social Sciences, MDPI, vol. 11(2), pages 1-29, February.
    12. repec:hal:spmain:info:hdl:2441/6ggbvnr6munghes9oc99l12b6 is not listed on IDEAS
    13. Marina Pilkina & Andrey Lovakov, 2022. "Gender disparities in Russian academia: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3577-3591, June.
    14. Creso Sá & Summer Cowley & Magdalena Martinez & Nadiia Kachynska & Emma Sabzalieva, 2020. "Gender gaps in research productivity and recognition among elite scientists in the U.S., Canada, and South Africa," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
    15. Juho Jokinen & Jaakko Pehkonen, 2017. "Promotions and Earnings – Gender or Merit? Evidence from Longitudinal Personnel Data," Journal of Labor Research, Springer, vol. 38(3), pages 306-334, September.
    16. Nafukho, Fredrick Muyia & Wekullo, Caroline S. & Muyia, Machuma Helen, 2019. "Examining research productivity of faculty in selected leading public universities in Kenya," International Journal of Educational Development, Elsevier, vol. 66(C), pages 44-51.
    17. Sebastian Hoenen & Christos Kolympiris, 2020. "The Value of Insiders as Mentors: Evidence from the Effects of NSF Rotators on Early-Career Scientists," The Review of Economics and Statistics, MIT Press, vol. 102(5), pages 852-866, December.
    18. Marek Kwiek, 2018. "High research productivity in vertically undifferentiated higher education systems: Who are the top performers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 415-462, April.
    19. Frandsen, Tove Faber & Jacobsen, Rasmus Højbjerg & Wallin, Johan A. & Brixen, Kim & Ousager, Jakob, 2015. "Gender differences in scientific performance: A bibliometric matching analysis of Danish health sciences Graduates," Journal of Informetrics, Elsevier, vol. 9(4), pages 1007-1017.
    20. Basma Albanna & Julia Handl & Richard Heeks, 2021. "Publication outperformance among global South researchers: An analysis of individual-level and publication-level predictors of positive deviance," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8375-8431, October.

    More about this item

    Keywords

    economics of science; top research productivity; persistency; hazard models; gender;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs; Social Entrepreneurship
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:tpr:restat:v:95:y:2013:i:1:p:273-285. 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: Kelly McDougall (email available below). General contact details of provider: https://direct.mit.edu/journals .

    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.