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Does politicizing ‘gender’ influence the possibility of conducting academic research? Evidence from a randomized controlled trial


  • Lénárd, Tünde
  • Horn, Dániel
  • Kiss, Hubert János


We detect a significant negative effect of mentioning ‘gender’ as a research topic on conducting academic research in Hungary. Using a randomized information treatment involving a comprehensive sample of Hungarian education providers we find that they are less willing to cooperate in a gender-related future research compared to a research without this specification. Our results also indicate that this negative sentiment is clearly against gender and not against any topic covering social inequalities in general.

Suggested Citation

  • Lénárd, Tünde & Horn, Dániel & Kiss, Hubert János, 2020. "Does politicizing ‘gender’ influence the possibility of conducting academic research? Evidence from a randomized controlled trial," Economics Letters, Elsevier, vol. 189(C).
  • Handle: RePEc:eee:ecolet:v:189:y:2020:i:c:s0165176520300458
    DOI: 10.1016/j.econlet.2020.109022

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    References listed on IDEAS

    1. Booth, Alison & Leigh, Andrew, 2010. "Do employers discriminate by gender? A field experiment in female-dominated occupations," Economics Letters, Elsevier, vol. 107(2), pages 236-238, May.
    2. Damian Clarke & Joseph P. Romano & Michael Wolf, 2020. "The Romano–Wolf multiple-hypothesis correction in Stata," Stata Journal, StataCorp LP, vol. 20(4), pages 812-843, December.
    3. Romano, Joseph P. & Wolf, Michael, 2016. "Efficient computation of adjusted p-values for resampling-based stepdown multiple testing," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 38-40.
    4. repec:feb:natura:0058 is not listed on IDEAS
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    Cited by:

    1. Horn, Dániel & Kiss, Hubert Janos & Lénárd, Tünde, 2020. "Economic preferences in the classroom - research documentation," MPRA Paper 100815, University Library of Munich, Germany.

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    More about this item


    Randomized experiment; Gender; Information treatment;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • H39 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Other
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination


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