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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. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    2. 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.
    3. Etro, Federico, 2018. "The Economics of Renaissance Art," The Journal of Economic History, Cambridge University Press, vol. 78(2), pages 500-538, June.
    4. 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.
    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. 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.
    3. 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.
    4. 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.
    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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