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Author's gender affects the rating of academic articles: Evidence from an incentivized, deception-free laboratory experiment

Author

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  • Michał Krawczyk

    (Faculty of Economic Sciences, University of Warsaw)

  • Magdalena Smyk

    (Faculty of Economic Sciences, University of Warsaw)

Abstract

In this study we sought to verify the hypothesis that a researcher’s gender affects evaluation of his or her work, especially in fields in which women are a small minority. To this end we asked a sample of economics majors to rate papers written by mixed-gender couples, indicating that they were (co-) authored by a “female economist”, “male economist”, “young female economist” or “young male economist”. While the age factor played no role, female authors received lower ratings. This effect was independent of the subject's gender.

Suggested Citation

  • Michał Krawczyk & Magdalena Smyk, 2014. "Author's gender affects the rating of academic articles: Evidence from an incentivized, deception-free laboratory experiment," Working Papers 2014-07, Faculty of Economic Sciences, University of Warsaw.
    • Handle: RePEc:war:wpaper:2014-07
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    File URL: http://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP124.pdf
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    References listed on IDEAS

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    Cited by:

    1. Lin Zhang & Yuanyuan Shang & Ying Huang & Gunnar Sivertsen, 2022. "Gender differences among active reviewers: an investigation based on publons," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 145-179, January.
    2. Zhang, Ning & He, Guangye & Shi, Dongbo & Zhao, Zhenyue & Li, Jiang, 2022. "Does a gender-neutral name associate with the research impact of a scientist?," Journal of Informetrics, Elsevier, vol. 16(1).
    3. Zhang, Lin & Shang, Yuanyuan & HUANG, Ying & Sivertsen, Gunnar, 2021. "Gender differences among active reviewers: an investigation based on Publons," SocArXiv 4z6w8, Center for Open Science.
    4. Auriol, Emmanuelle & Friebel, Guido & Weinberger, Alisa & ,, 2021. "Women in Economics: Europe and the World," CEPR Discussion Papers 16686, C.E.P.R. Discussion Papers.
    5. 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.
    6. Laura Hospido & Carlos Sanz, 2019. "Gender gaps in the evaluation of research: evidence from submissions to economics conferences (Updated March 2020)," Working Papers 1918, Banco de España, revised Mar 2020.
    7. Friederike Mengel & Jan Sauermann & Ulf Zölitz, 2019. "Gender Bias in Teaching Evaluations," Journal of the European Economic Association, European Economic Association, vol. 17(2), pages 535-566.
    8. Laura Hospido & Carlos Sanz, 2021. "Gender Gaps in the Evaluation of Research: Evidence from Submissions to Economics Conferences," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 590-618, June.
    9. Michał Krawczyk, 2017. "Are all researchers male? Gender misattributions in citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1397-1402, March.
    10. Silva Goncalves, Juliana & van Veldhuizen, Roel, 2020. "Subjective Judgment and Gender Bias in Advice: Evidence from the Laboratory," Working Papers 2020:27, Lund University, Department of Economics.
    11. Emre Özel, 2024. "What is Gender Bias in Grant Peer review?," Working Papers halshs-03862027, HAL.
    12. Friederike Mengel, 2021. "Gender Bias In Opinion Aggregation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 1055-1080, August.
    13. Hengel, E., 2017. "Publishing while Female. Are women held to higher standards? Evidence from peer review," Cambridge Working Papers in Economics 1753, Faculty of Economics, University of Cambridge.

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    More about this item

    Keywords

    women in science; laboratory experiment; gender bias;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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