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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
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    Citations

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    Cited by:

    1. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Are Migrants More Productive Than Stayers? Some Evidence From A Set Of Highly Productive Academic Economists," Economic Inquiry, Western Economic Association International, vol. 55(3), pages 1308-1323, July.
    2. 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.
    3. repec:hal:spmain:info:hdl:2441/1seuirq4ak9b9bouu1j29ebui7 is not listed on IDEAS
    4. 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.
    5. 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.
    6. 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.
    7. Schmal, W. Benedikt & Haucap, Justus & Knoke, Leon, 2023. "The role of gender and coauthors in academic publication behavior," Research Policy, Elsevier, vol. 52(10).
    8. Marina Pilkina & Andrey Lovakov, 2022. "Gender disparities in Russian academia: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3577-3591, June.
    9. 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.
    10. Anne Boring, 2015. "Gender Biases in student evaluations of teachers," Documents de Travail de l'OFCE 2015-13, Observatoire Francais des Conjonctures Economiques (OFCE).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Michele Pezzoni & Fabiana Visentin, 2024. "Gender bias in team formation: the case of the European Science Foundation’s grants," Science and Public Policy, Oxford University Press, vol. 51(2), pages 247-260.
    16. 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.
    17. 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.
    18. 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.
    19. repec:spo:wpmain:info:hdl:2441/1seuirq4ak9b9bouu1j29ebui7 is not listed on IDEAS
    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

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