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Gender Stereotype in Academia: Evidence from Economics Job Market Rumors Forum

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  • Alice Wu

    (Princeton University)

Abstract

This paper examines whether people in academia portray and judge women and men differently in everyday "conversations" that take place online. I combine methods from text mining, machine learning and econometrics to study the existence and extent of gender stereotyping on the Economics Job Market Rumors forum. I first design a propensity score model to infer the gender a post mainly refers to from text, and simultaneously identify the individual words with the strongest association with gender. The words selected provide a direct look into the gender stereotyped language on this forum. Through a topic analysis of the posts, I find that when women are under discussion, the discourse tends to become significantly less academic or professionally oriented, and more about personal information and physical appearance. Moreover, a panel data analysis reveals the state dependence between the content of posts within a thread. In particular, once women are mentioned in a thread, the topic is likely to shift from academic to personal. Finally, I restrict the analysis to discussions about specific economists, and find that high-profile female economists tend to receive more attention on EJMR than their male counterparts.

Suggested Citation

  • Alice Wu, 2017. "Gender Stereotype in Academia: Evidence from Economics Job Market Rumors Forum," Working Papers 2017-09, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
    • Handle: RePEc:pri:cheawb:2017-09
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    Citations

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    Cited by:

    1. Katherine A. Moos, 2020. "Making the Case for Equitable Growth: Comments on the 2020 David Gordon Memorial Lecture," Review of Radical Political Economics, Union for Radical Political Economics, vol. 52(4), pages 610-615, December.
    2. Scoles, Brooke & Nicodemo, Catia, 2022. "Doctors’ attitudes toward specific medical conditions," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 182-199.
    3. Lorenzo Ductor & Sanjeev Goyal & Anja Prummer, 2018. "Gender & Collaboration," Working Papers 856, Queen Mary University of London, School of Economics and Finance.
    4. 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.
    5. Lorenzo Ductor & Bauke Visser, 2021. "When a coauthor joins an editorial board," Tinbergen Institute Discussion Papers 21-043/VII, Tinbergen Institute.
    6. Valerie K. Bostwick & Bruce A. Weinberg, 2022. "Nevertheless She Persisted? Gender Peer Effects in Doctoral STEM Programs," Journal of Labor Economics, University of Chicago Press, vol. 40(2), pages 397-436.
    7. Stéphanie Combes & Pauline Givord, 2018. "Selective matching: gender gap and network formation in research," Working Papers 2018-07, Center for Research in Economics and Statistics.
    8. Jana Hilsenroth & Anna Josephson & Kelly A. Grogan & Lurleen M. Walters & Zoë T. Plakias & Leah H. Palm‐Forster & Simanti Banerjee & Tara Wade, 2022. "Past, present, and future: Status of women and minority faculty in agricultural and applied economics," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 71-91, March.
    9. Ductor, Lorenzo & Visser, Bauke, 2022. "When a coauthor joins an editorial board," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 576-595.
    10. Lorenzo Ductor & Sanjeev Goyal & Anja Prummer, 2023. "Gender and Collaboration," ThE Papers 23/01, Department of Economic Theory and Economic History of the University of Granada..
    11. Stephan Puehringer & Theresa Hager, 2023. "Gendered Competitive Practices in Economics. A Multi-Layer Model of Womens Underrepresentation," ICAE Working Papers 148, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    12. Prummer, Anja & goyal, sanjeev & Ductor, Lorenzo, 2021. "Gender and Collaboration," CEPR Discussion Papers 15673, C.E.P.R. Discussion Papers.
    13. Della Giusta, Marina & Vukadinovic-Greetham, Danica & Jaworska, Sylvia, 2018. "Tweeting Economists: Antisocial in the socials?," MPRA Paper 89527, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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