Fame, What’s your name? quasi and statistical gender discrimination in an art valuation experimentc
Robert Hoffmann and
Bronwyn Coate
Journal of Economic Behavior & Organization, 2022, vol. 202, issue C, 184-197
Abstract:
We conduct five experimental studies to examine whether and what kind of gender discrimination explains deep and persistent gender gaps in the art market. 1112 participants chose between male and female-originated artworks with and without artist information. Gender-specific artist names did not affect personal preferences or preference norms. They did however cause significant swings towards male artworks when participants were incentivised to guess the more pedigreed or more expensive artwork. When artist name information was controlled, manipulating artist fame information shifted preference norms towards artworks of males, who are more famous on average. Overall we find no taste-based but significant statistical gender discrimination. We also find quasi gender discrimination, in which discrimination based on a particular characteristic (fame) may be falsely attributed to a highly-correlated one (gender).
Keywords: Gender; Discrimination; Art market; Experiment (search for similar items in EconPapers)
JEL-codes: C93 J16 J71 Z11 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167268122002669
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:jeborg:v:202:y:2022:i:c:p:184-197
DOI: 10.1016/j.jebo.2022.07.032
Access Statistics for this article
Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D.
More articles in Journal of Economic Behavior & Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().