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

Author

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  • Krawczyk, Michał
  • Smyk, Magdalena
Abstract
Even though women׳s position in academia has changed dramatically over the last few decades, there is still some evidence that when it comes to evaluation of scientific achievements, gender may play a significant role. Gender bias is particularly likely to take the form of statistical discrimination. In this study we sought to verify the hypothesis that researcher׳s gender affects evaluation of his or her work, especially in a field where women only represent a minority. Towards this end we asked a sample of subjects, mostly economics majors, to evaluate a paper written by mixed-gender couples, indicating that it was (co-)authored by a “female economist”, “male economist”, “young female economist” or “young male economist” or giving no information about the author at all. While age factor played no role, female authors appeared to be seen as less competent than males, in that subjects (being incentivized to give their best judgment) less often believed that their papers have been published. This effect did not interact strongly with the gender of the subject.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:eecrev:v:90:y:2016:i:c:p:326-335
    DOI: 10.1016/j.euroecorev.2016.02.017
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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, Lin & Shang, Yuanyuan & HUANG, Ying & Sivertsen, Gunnar, 2021. "Gender differences among active reviewers: an investigation based on Publons," SocArXiv 4z6w8, Center for Open Science.
    3. 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.
    4. 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.
    5. Michał Krawczyk, 2017. "Are all researchers male? Gender misattributions in citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1397-1402, March.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. Auriol, Emmanuelle & Friebel, Guido & Weinberger, Alisa & ,, 2021. "Women in Economics: Europe and the World," CEPR Discussion Papers 16686, C.E.P.R. Discussion Papers.
    11. 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.
    12. Emre Özel, 2024. "What is Gender Bias in Grant Peer review?," Working Papers halshs-03862027, HAL.
    13. 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.

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    More about this item

    Keywords

    Gender equality; Women in science; Laboratory experiment;
    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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