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A Heckit Model of Sales Dynamics in Turkish Art Auctions: 2005-2008

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  • Seçkin Aylin

    (Istanbul Bilgi University)

  • Atukeren Erdal

    (ETH Zurich, SBS Swiss Business School, BSL Business School Lausanne, University of Applied Sciences Northwestern Switzerland (FHNW))

Abstract

Unsold artworks are excluded from a traditional hedonic price index as no observable price can be attached to them. The question is whether the exclusion of unsold artworks lead to a sample selection bias in the traditionally constructed art price indices. In this paper, we examine the art auction sales performance in Turkey for the period between January 2005 and February 2008 using a unique database which contains 11,212 sales records including unsold items. We employ the two-stage Heckit model. Our empirical model combines demand-side influences with supply-side characteristics as well as the auction microstructure. We find that there is no sample selection bias created by unsold works. This finding also provides an explanation for why the attempts in the literature to identify which works are (not) sold turned out to be largely unsuccessful. On the behavioural side, we confirm the existence of the âafternoon effectâ in both sales rates and in sales prices in Turkish art auctions. There is also some evidence for the âdeath effectâ and âmaster effectâ in both sales rates and sales prices. Finally, we find that the returns in the Turkish art market serve as a hedge against inflation in our sample period.

Suggested Citation

  • Seçkin Aylin & Atukeren Erdal, 2012. "A Heckit Model of Sales Dynamics in Turkish Art Auctions: 2005-2008," Review of Middle East Economics and Finance, De Gruyter, vol. 7(3), pages 1-32, May.
  • Handle: RePEc:bpj:rmeecf:v:7:y:2012:i:3:n:2
    DOI: 10.1515/1475-3693.1304
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    1. George Deltas & Georgia Kosmopoulou, 2004. "'Catalogue' vs 'Order-of-sale' effects in sequential auctions: theory and evidence from a rare book sale," Economic Journal, Royal Economic Society, vol. 114(492), pages 28-54, January.
    2. Ginsburgh, Victor & Jeanfils, Philippe, 1995. "Long-term comovements in international markets for paintings," European Economic Review, Elsevier, vol. 39(3-4), pages 538-548, April.
    3. Ashenfelter, Orley, 1989. "How Auctions Work for Wine and Art," Journal of Economic Perspectives, American Economic Association, vol. 3(3), pages 23-36, Summer.
    4. Alan Beggs & Kathryn Graddy, 1997. "Declining Values and the Afternoon Effect: Evidence from Art Auctions," RAND Journal of Economics, The RAND Corporation, vol. 28(3), pages 544-565, Autumn.
    5. Victor A. Ginsburgh, 1998. "Absentee Bidders and the Declining Price Anomaly in Wine Auctions," Journal of Political Economy, University of Chicago Press, vol. 106(6), pages 1302-1331, December.
    6. Clare M D'Souza & David Prentice, 2001. "Auctioneer Strategy and Pricing: Evidence from an Art Auction," Working Papers 2001.05 EDIRC Provider-In, School of Economics, La Trobe University.
    7. Nauro F. Campos & Renata Leite Barbosa, 2009. "Paintings and numbers: an econometric investigation of sales rates, prices, and returns in Latin American art auctions," Oxford Economic Papers, Oxford University Press, vol. 61(1), pages 28-51, January.
    8. BAUWENS, Luc & GINSBURGH, Victor, 2000. "Art experts and auctions are pre-sale estimates unbiased and fully informative?," LIDAM Reprints CORE 1485, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Lusht, Kenneth M, 1994. "Order and Price in a Sequential Auction," The Journal of Real Estate Finance and Economics, Springer, vol. 8(3), pages 259-266, May.
    10. Orley Ashenfelter & Kathryn Graddy, 2003. "Auctions and the Price of Art," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 763-787, September.
    11. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    12. Olivier Chanel & Louis-André Gérard-Varet & Victor Ginsburgh, 1996. "The relevance of hedonic price indices," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 20(1), pages 1-24, March.
    13. 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.
    14. McAfee R. Preston & Vincent Daniel, 1993. "The Declining Price Anomaly," Journal of Economic Theory, Elsevier, vol. 60(1), pages 191-212, June.
    15. Victor Ginsburgh & Pierre-Michel Menger, 1996. "Economics of the arts: selected essays," ULB Institutional Repository 2013/1655, ULB -- Universite Libre de Bruxelles.
    16. Chanel, O. & Gerard, L.A. & Ginsburgh, V., 1992. "The Relevence of Hedonic Price Indices the Case of Paintings," G.R.E.Q.A.M. 92a19, Universite Aix-Marseille III.
    17. Jianping Mei & Michael Moses, 2002. "Art as an Investment and the Underperformance of Masterpieces," American Economic Review, American Economic Association, vol. 92(5), pages 1656-1668, December.
    18. Erdal Atukeren & Aylin Seçkin, 2006. "Art and the Economy: A First Look at the Market for Paintings in Turkey," Economics Bulletin, AccessEcon, vol. 26(3), pages 1-13.
    19. Lucio Picci & Antonello Scorcu, 2003. "Bidders' and Sellers' Strategies in Sequential Auctions. New Evidence about the Afternoon Effect," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(2), pages 163-178, June.
    20. R. Ekelund & Rand Ressler & John Watson, 2000. "The ``Death-Effect'' in Art Prices: A Demand-Side Exploration," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 24(4), pages 283-300, November.
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