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Sample Selection Bias and Time Instability of Hedonic Art Price Indexes

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  • A. Collins
  • A. E. Scorcu
  • R. Zanola

Abstract

The uniqueness of art objects need to be taken into account in the construction of any art market price index. Yet the most widely used methods typically rely on biased samples, discarding a very large proportion of the information available (the repeated sales approach) and/or require strong assumptions regarding the structure and time stability of the market (the hedonic regression approach). In this paper a refined hedonic index is developed that explicitly addresses these problems. An empirical illustration comparing these methods is presented using a dataset of symbolist paintings appearing at auction over the period 1990-2001.

Suggested Citation

  • A. Collins & A. E. Scorcu & R. Zanola, 2007. "Sample Selection Bias and Time Instability of Hedonic Art Price Indexes," Working Papers 610, Dipartimento Scienze Economiche, Universita' di Bologna.
    • Handle: RePEc:bol:bodewp:610
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    References listed on IDEAS

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    Cited by:

    1. Fedderke, Johannes W. & Chen, Tinghua, 2023. "Generalizing the “Masterpiece Effect” in fine art pricing: Quantile Hedonic regression results for the South African fine art market, 2009–2021," Economic Modelling, Elsevier, vol. 124(C).
    2. Ventura Charlin & Arturo Cifuentes, 2013. "A new financial metric for the art market," Papers 1309.6929, arXiv.org, revised Jul 2015.
    3. Marinelli, Nicoletta & Palomba, Giulio, 2011. "A model for pricing Italian Contemporary Art paintings at auction," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 212-224, May.

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