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An ordinal regression approach for analyzing consumer preferences in the art market

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  • Grigoroudis, Evangelos
  • Noel, Laurent
  • Galariotis, Emilios
  • Zopounidis, Constantin

Abstract

From its origin at the Renaissance, the art market is part of the global economy. Arts and cultural production add significant real values on the Gross Domestic Product (GDP) of several countries and a strong symbolic contribution in prestige for owners, either private collectors or cities and countries. The significant price fluctuations that may be observed in the market of artistic goods can be explained not only by the uniqueness of works of art and the economic conditions, but also by the changing preferences of buyers. The main aim of this paper is to develop an ordinal regression analysis model for studying the preferences of artistic goods buyers. The applied approach assumes that the price of a work of art depends on a set of criteria aiming to infer additive value functions that aggregate these criteria in such a way that these functions are optimally consistent with a given price. The presented study uses a large set of auction data from the Art Deco furniture market and considers several different criteria that may influence buyers’ preferences. These criteria are related to the physical or intangible characteristics of artistic goods. The results are mainly focused on analyzing buyer's preferences (e.g., contribution of several factors to the price of artistic goods), while the ordinal regression model has been applied in different time periods in order to study how preferences evolve over time. Finally, stability analysis has been performed, with the aim of evaluating the robustness of the results.

Suggested Citation

  • Grigoroudis, Evangelos & Noel, Laurent & Galariotis, Emilios & Zopounidis, Constantin, 2021. "An ordinal regression approach for analyzing consumer preferences in the art market," European Journal of Operational Research, Elsevier, vol. 290(2), pages 718-733.
  • Handle: RePEc:eee:ejores:v:290:y:2021:i:2:p:718-733
    DOI: 10.1016/j.ejor.2020.08.031
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    1. Forrest Young & Jan Leeuw & Yoshio Takane, 1976. "Regression with qualitative and quantitative variables: An alternating least squares method with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 41(4), pages 505-529, December.
    2. Grigoroudis, E. & Siskos, Y., 2002. "Preference disaggregation for measuring and analysing customer satisfaction: The MUSA method," European Journal of Operational Research, Elsevier, vol. 143(1), pages 148-170, November.
    3. E. A. Kiountouzis, 1973. "Linear Programming Techniques in Regression Analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 22(1), pages 69-73, March.
    4. Jacquet-Lagreze, E. & Siskos, J., 1982. "Assessing a set of additive utility functions for multicriteria decision-making, the UTA method," European Journal of Operational Research, Elsevier, vol. 10(2), pages 151-164, June.
    5. Luc Renneboog & Christophe Spaenjers, 2013. "Buying Beauty: On Prices and Returns in the Art Market," Management Science, INFORMS, vol. 59(1), pages 36-53, February.
    6. Angelopoulos, Dimitrios & Siskos, Yannis & Psarras, John, 2019. "Disaggregating time series on multiple criteria for robust forecasting: The case of long-term electricity demand in Greece," European Journal of Operational Research, Elsevier, vol. 275(1), pages 252-265.
    7. Goetzmann, William N, 1993. "Accounting for Taste: Art and the Financial Markets over Three Centuries," American Economic Review, American Economic Association, vol. 83(5), pages 1370-1376, December.
    8. Evangelos Grigoroudis & Yannis Siskos, 2010. "Customer Satisfaction Evaluation," International Series in Operations Research and Management Science, Springer, number 978-1-4419-1640-2, April.
    9. Victor Ginsburgh & David Throsby, 2006. "Handbook of the economics of art and culture," ULB Institutional Repository 2013/1673, ULB -- Universite Libre de Bruxelles.
    10. Siskos, Eleftherios & Tsotsolas, Nikos, 2015. "Elicitation of criteria importance weights through the Simos method: A robustness concern," European Journal of Operational Research, Elsevier, vol. 246(2), pages 543-553.
    11. A. Charnes & W. W. Cooper & R. O. Ferguson, 1955. "Optimal Estimation of Executive Compensation by Linear Programming," Management Science, INFORMS, vol. 1(2), pages 138-151, January.
    12. Alpagu, Hasan, 2014. "Economy and Art: Why are Economy and Art Closely Linked?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 1(1), pages 3-8.
    13. Peter C. Fishburn, 1967. "Methods of Estimating Additive Utilities," Management Science, INFORMS, vol. 13(7), pages 435-453, March.
    14. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    15. Guido Candela & Massimiliano Castellani & Pierpaolo Pattitoni, 2012. "Tribal art market: signs and signals," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(4), pages 289-308, November.
    16. Benhamou, Francoise & Ginsburgh, Victor, 2006. "Copies of Artworks: The Case of Paintings and Prints," Handbook of the Economics of Art and Culture, in: V.A. Ginsburgh & D. Throsby (ed.), Handbook of the Economics of Art and Culture, edition 1, volume 1, chapter 8, pages 253-283, Elsevier.
    17. Peter C. Fishburn, 1966. "Letter to the Editor—A Note on Recent Developments in Additive Utility Theories for Multiple-Factor Situations," Operations Research, INFORMS, vol. 14(6), pages 1143-1148, December.
    18. Hasan ALPAGU, 2014. "Economy and Art: Why are Economy and Art Closely Linked?," Journal of Economics Library, KSP Journals, vol. 1(1), pages 3-8, December.
    19. Siskos, J., 1982. "A way to deal with fuzzy preferences in multi-criteria decision problems," European Journal of Operational Research, Elsevier, vol. 10(3), pages 314-324, July.
    20. Federica Codignola, 2003. "The Art Market, Global Economy and Information Transparency," Symphonya. Emerging Issues in Management, Niccolò Cusano University, issue 2 Marketi.
    21. Baumol, William J, 1986. "Unnatural Value: Or Art Investment as Floating Crap Game," American Economic Review, American Economic Association, vol. 76(2), pages 10-14, May.
    22. Goetzmann, W.N., 1990. "Accounting For Taste: An Analysis Of Art Returns Over Three Centuries," Papers fb-_90-11, Columbia - Graduate School of Business.
    23. Chanel, Olivier, 1995. "Is art market behaviour predictable?," European Economic Review, Elsevier, vol. 39(3-4), pages 519-527, April.
    24. Freed, Ned & Glover, Fred, 1981. "Simple but powerful goal programming models for discriminant problems," European Journal of Operational Research, Elsevier, vol. 7(1), pages 44-60, May.
    25. Stein, John Picard, 1977. "The Monetary Appreciation of Paintings," Journal of Political Economy, University of Chicago Press, vol. 85(5), pages 1021-1035, October.
    26. Jacquet-Lagreze, Eric & Siskos, Yannis, 2001. "Preference disaggregation: 20 years of MCDA experience," European Journal of Operational Research, Elsevier, vol. 130(2), pages 233-245, April.
    27. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    28. V. Srinivasan & Allan Shocker, 1973. "Linear programming techniques for multidimensional analysis of preferences," Psychometrika, Springer;The Psychometric Society, vol. 38(3), pages 337-369, September.
    29. Anderson, Robert C, 1974. "Paintings as an Investment," Economic Inquiry, Western Economic Association International, vol. 12(1), pages 13-26, March.
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