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First impression biases in the performing arts: taste-based discrimination and the value of blind auditioning

Journal of cultural economics, 2022-09, Vol.46 (3), p.391-437 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-2545 ;EISSN: 1573-6997 ;DOI: 10.1007/s10824-021-09428-1

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  • Title:
    First impression biases in the performing arts: taste-based discrimination and the value of blind auditioning
  • Author: Droege, Jasmin
  • Subjects: Affirmative action ; Applicants ; Arts ; Auditions ; Bias ; Cultural Economics ; Decision making ; Discrimination ; Economic Policy ; Economics ; Economics and Finance ; Females ; Gender ; Microeconomics ; Music ; Orchestras ; Original Article ; Performing arts ; Regional and Cultural Studies ; Uncertainty
  • Is Part Of: Journal of cultural economics, 2022-09, Vol.46 (3), p.391-437
  • Description: I develop a game-theoretic framework to study the repercussions of an evaluator’s bias against a specific group of applicants. The evaluator decides upfront between holding an informed or a blind audition. In the latter, the evaluator learns neither the applicant’s ability nor the gender. I show that, above a threshold bias, the evaluator prefers a blind audition to provide high effort incentives exclusively for high-ability applicants. Consequently, committing to no information can be beneficial for the evaluator. I also show that a highly biased evaluator’s preferences align with those of a highly able female. I extend the framework to performance uncertainty and gender-blind CVs and compare blind auditions to affirmative action. The framework is relevant for auditory-based applications: my results can explain why blind auditions have increased the probability of a female orchestra musician being hired via taste-based discrimination and challenge explanations grounded in statistical discrimination.
  • Publisher: New York: Springer US
  • Language: English
  • Identifier: ISSN: 0885-2545
    EISSN: 1573-6997
    DOI: 10.1007/s10824-021-09428-1
  • Source: Springer Nature OA/Free Journals
    ProQuest Central
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