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Gender Inequality and Returns to Reputation in Art Markets

Author

Listed:
  • Giuseppe Attanasi
  • Giuseppe Ciccarone
  • Giovanni Di Bartolomeo
  • Valentina Peruzzi
  • Marilena Vecco

Abstract

This paper studies how gender and reputation jointly shape valuation in the visual art market. We develop a microfounded benchmark auction model in which artwork prices depend on artists' effort, reputation, and gender. The model predicts that the price discount for female artists should decline with reputation and become negligible at sufficiently high levels of reputation. We test these predictions using two complementary approaches. First, we examine 67,615 auction sales by 686 living contemporary artists over 1996-2014. Conditional on rich artwork and artist characteristics, nationality fixed effects, and year-by-location auction fixed effects, we find that works by female artists sell for less than comparable works by male artists, but this discount shrinks substantially with formal recognition and market standing. Second, we conduct a pre-registered experiment in a controlled auction setting to isolate demand-side valuation mechanisms. The experimental evidence confirms the same pattern: bids for works attributed to female artists are lower on average, and the gap narrows sharply when the artist is presented as highly reputed.

Suggested Citation

  • Giuseppe Attanasi & Giuseppe Ciccarone & Giovanni Di Bartolomeo & Valentina Peruzzi & Marilena Vecco, 2026. "Gender Inequality and Returns to Reputation in Art Markets," CIMEO Working Paper Series 196, Centre for Investigation and Modelling of Experimental Observations (CIMEO).
  • Handle: RePEc:ter:wpaper:00196
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    References listed on IDEAS

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    1. Trine Bille & Søren Jensen, 2018. "Artistic education matters: survival in the arts occupations," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(1), pages 23-43, February.
    2. Lucien Karpik, 2010. "Valuing the Unique: The Economics of Singularities," Economics Books, Princeton University Press, edition 1, number 9215, December.
    3. Fabian Y. R. P. Bocart & Marina Gertsberg & Rachel A. J. Pownall, 2022. "An empirical analysis of price differences for male and female artists in the global art market," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 46(3), pages 543-565, September.
    4. Heinrich W. Ursprung & Christian Wiermann, 2011. "Reputation, Price, And Death: An Empirical Analysis Of Art Price Formation," Economic Inquiry, Western Economic Association International, vol. 49(3), pages 697-715, July.
    5. Maria Marchenko & Hendrik Sonnabend, 2022. "Artists' labour market and gender: Evidence from German visual artists," Kyklos, Wiley Blackwell, vol. 75(3), pages 456-471, August.
    6. Jinsu Park & Yoonjin Lee & Daewon Yang & Jongho Park & Hohyun Jung, 2024. "Artwork pricing model integrating the popularity and ability of artists," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(4), pages 889-913, December.
    7. Laurie Cameron & William N. Goetzmann & Milad Nozari, 2019. "Art and gender: market bias or selection bias?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 279-307, June.
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    More about this item

    Keywords

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    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

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