Chess girls don’t cry: Gender composition of games and effort in competitions among the super-elite
Maryam Dilmaghani ()
Journal of Economic Psychology, 2022, vol. 89, issue C
Abstract:
The deterministic nature of chess makes the outcome strongly predictable, especially among the elite. As a result, instead of ending in a checkmate or a forced tie, elite chess games end either in the resignation of the player in a losing position or a mutually agreed upon draw. Traits such as competitiveness, over-confidence, and risk tolerance, all more prevalent among males, likely prolong the games. In contrast, susceptibility to intimidation and stereotype threat, more relevant to females, likely accelerate the completion of games. Using a recent sample of super-elite chess games, the present paper shows that males are substantially quicker to quit when dominated by a female than by a male. In contrast, female players’ behaviour differs little as a function of the gender of opponents. The results are interpreted through the “mere effort” impact of stereotype threat and the self-handicapping concept.
Keywords: Gender; Chess; Competitiveness; Effort; Stereotype threat; Self-handicapping (search for similar items in EconPapers)
JEL-codes: J16 Z20 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167487022000010
Full text for ScienceDirect subscribers only
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:eee:joepsy:v:89:y:2022:i:c:s0167487022000010
DOI: 10.1016/j.joep.2022.102482
Access Statistics for this article
Journal of Economic Psychology is currently edited by G. Antonides and D. Read
More articles in Journal of Economic Psychology from Elsevier
Bibliographic data for series maintained by Catherine Liu ().