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Belief-based and taste-based gender discrimination. Evidence from a game show

Author

Listed:
  • Michał Krawczyk

    (Faculty of Economic Sciences, University of Warsaw)

  • Natalia Starzykowska

    (Faculty of Economic Sciences, University of Warsaw)

Abstract

Gender discrimination, based on taste or on perception of competence, remains to be a likely contributor to females’ lower wages and slower professional advancement. In this project we use a novel data set of decisions made by participants of the Ten to One TV show. During the game, contestants repeatedly nominate the next person to answer a question. Being nominated reduces one’s probability of eventually winning the game. General tendency to nominate one gender more often than the other signifies taste-based discrimination against this gender. The construction of the game makes it relatively more profitable to nominate the most competent rather than the least competent opponents in some strategic circumstances, which allows to identify biased perception of the two genders’ competence. Having analyzed over 6000 decisions from 117 episodes aired in the last 21 years we find clear evidence of belief-based discrimination against females, yet taste-based in favor of them.

Suggested Citation

  • Michał Krawczyk & Natalia Starzykowska, 2017. "Belief-based and taste-based gender discrimination. Evidence from a game show," Working Papers 2017-15, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2017-15
    as

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    File URL: https://www.wne.uw.edu.pl/index.php/download_file/3619/
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    References listed on IDEAS

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    More about this item

    Keywords

    taste-based discrimination; belief-based discrimination; gender; games;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other

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