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

Michal Krawczyk and Natalia Starzykowska

No 2017-15, Working Papers from 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.

Keywords: taste-based discrimination; belief-based discrimination; gender; games (search for similar items in EconPapers)
JEL-codes: C99 D03 J16 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2017
New Economics Papers: this item is included in nep-gen
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.wne.uw.edu.pl/index.php/download_file/3619/ First version, 2017 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:war:wpaper:2017-15

Access Statistics for this paper

More papers in Working Papers from Faculty of Economic Sciences, University of Warsaw Contact information at EDIRC.
Bibliographic data for series maintained by Marcin Bąba ().