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Power-laws in art

Author

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  • Etro, Federico
  • Stepanova, Elena

Abstract

We provide evidence of a cubic law of art prices that hints to a general pattern for the distribution of artistic talent. The persistence across heterogeneous markets from historical ones to contemporary art auctions of a power law in the distribution of the average price per artist suggests the possibility of a universal law for talent distribution. We explore scale-free networks of teacher–students to investigate the diffusion of talent over time.

Suggested Citation

  • Etro, Federico & Stepanova, Elena, 2018. "Power-laws in art," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 217-220.
  • Handle: RePEc:eee:phsmap:v:506:y:2018:i:c:p:217-220
    DOI: 10.1016/j.physa.2018.04.057
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    References listed on IDEAS

    as
    1. Federico Etro & Elena Stepanova, 2015. "The Market for Paintings in Paris between Rococo and Romanticism," Kyklos, Wiley Blackwell, vol. 68(1), pages 28-50, February.
    2. Etro, Federico, 2018. "The Economics of Renaissance Art," The Journal of Economic History, Cambridge University Press, vol. 78(2), pages 500-538, June.
    3. Federico Etro & Elena Stepanova, 2016. "Entry of painters in the Amsterdam market of the Golden Age," Journal of Evolutionary Economics, Springer, vol. 26(2), pages 317-348, May.
    4. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Etro, Federico & Marchesi, Silvia & Stepanova, Elena, 2020. "Liberalizing art. Evidence on the Impressionists at the end of the Paris Salon," European Journal of Political Economy, Elsevier, vol. 62(C).
    2. Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.
    3. Aloys Leo Prinz, 2022. "The concentration of power in the market for contemporary art: an empirical analysis of ArtReview’s “Power 100”," SN Business & Economics, Springer, vol. 2(1), pages 1-32, January.
    4. Etro, Federico & Stepanova, Elena, 2021. "Art return rates from old master paintings to contemporary art," Journal of Economic Behavior & Organization, Elsevier, vol. 181(C), pages 94-116.
    5. Reyes-Santias, Francisco & Reboredo, Juan C. & de Assis, Edilson Machado & Rivera-Castro, Miguel A., 2021. "Does length of hospital stay reflect power-law behavior? A q-Weibull density approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).

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    More about this item

    Keywords

    Power laws; Art prices; Talent distribution; Scale-free networks;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

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