IDEAS home Printed from https://ideas.repec.org/p/oxf/wpaper/228.html
   My bibliography  Save this paper

Testing for Reference Dependence: An Application to the Art Market

Author

Listed:
  • Alan Beggs
  • Kathryn Graddy

Abstract

This paper tests for reference dependence, using data from Impressionist and Contemporary Art auctions. We distinguish reference dependence based on rule of thumb learning from reference dependence based on rational learning. Furthermore, we distinguish pure reference dependence from effects due to loss aversion. Thus, we use actual market data to test essential characteristics of Kahneman and Tversky`s Prospect Theory. The main methodological innovations of this paper are firstly, that reference dependence can be identified separately from loss aversion. Secondly, we introduce a consistent non-linear estimator to deal with measurement errors problems involved in testing for loss aversion. In this dataset, we find strong reference dependence but no loss aversion.

Suggested Citation

  • Alan Beggs & Kathryn Graddy, 2005. "Testing for Reference Dependence: An Application to the Art Market," Economics Series Working Papers 228, University of Oxford, Department of Economics.
    • Handle: RePEc:oxf:wpaper:228
    as

    Download full text from publisher

    File URL: https://ora.ox.ac.uk/objects/uuid:ffb89a33-7b18-42f5-8b87-2eb977c1080d
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Bruno Jullien & Bernard Salanie, 2000. "Estimating Preferences under Risk: The Case of Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 503-530, June.
    3. 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.
    4. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. Whitney K. Newey, 2001. "Flexible Simulated Moment Estimation Of Nonlinear Errors-In-Variables Models," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 616-627, November.
    7. 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.
    8. Susanne M. Schennach, 2004. "Estimation of Nonlinear Models with Measurement Error," Econometrica, Econometric Society, vol. 72(1), pages 33-75, January.
    9. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1233-1260.
    10. Victor Ginsburgh & Pierre-Michel Menger, 1996. "Economics of the arts: selected essays," ULB Institutional Repository 2013/1655, ULB -- Universite Libre de Bruxelles.
    11. Robert B. Davies, 2002. "Hypothesis testing when a nuisance parameter is present only under the alternative: Linear model case," Biometrika, Biometrika Trust, vol. 89(2), pages 484-489, June.
    12. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 1-53.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel A. J. Pownall, 2023. "Empirical evidence of anchoring and loss aversion from art auctions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(2), pages 279-301, June.
    2. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel A J Pownall, 2014. "Anchoring or Loss Aversion? Empirical Evidence from Art Auctions," ACEI Working Paper Series AWP-04-2014, Association for Cultural Economics International, revised Jun 2014.
    3. Erdős, Péter & Ormos, Mihály, 2012. "Pricing of collectibles: Baedeker guidebooks," Economic Modelling, Elsevier, vol. 29(5), pages 1968-1978.
    4. Erdos, Péter & Ormos, Mihály, 2010. "Random walk theory and the weak-form efficiency of the US art auction prices," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 1062-1076, May.
    5. Assaf, Ata, 2018. "Testing for bubbles in the art markets: An empirical investigation," Economic Modelling, Elsevier, vol. 68(C), pages 340-355.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel A. J. Pownall, 2023. "Empirical evidence of anchoring and loss aversion from art auctions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(2), pages 279-301, June.
    2. Graddy, Kathryn & Pownall, Rachel A J & Loewenstein, Lara & Mei, Jianping & Moses, Mike, 2014. "Anchoring or Loss Aversion? Empirical Evidence from Art Auctions," CEPR Discussion Papers 10048, C.E.P.R. Discussion Papers.
    3. Spaenjers, Christophe & Goetzmann, William N. & Mamonova, Elena, 2015. "The economics of aesthetics and record prices for art since 1701," Explorations in Economic History, Elsevier, vol. 57(C), pages 79-94.
    4. Jianping Mei & Michael A. Moses & Zur B. Shapira & Lawrence J. White, 2010. "Loss Aversion? What Loss Aversion? Some Surprising Evidence from the Art Market," Working Papers 10-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    5. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    6. Victor Ginsburgh & Jianping Mei & Michael Moses, 2006. "On the computation of art indices in art," ULB Institutional Repository 2013/7290, ULB -- Universite Libre de Bruxelles.
    7. 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.
    8. Arthur Korteweg & Roman Kräussl & Patrick Verwijmeren, 2016. "Does it Pay to Invest in Art? A Selection-Corrected Returns Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 29(4), pages 1007-1038.
    9. Kliger, Doron & Levy, Ori, 2009. "Theories of choice under risk: Insights from financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 330-346, August.
    10. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    11. A. Banerji & Neha Gupta, 2011. "Do Auction Bids Betray Expectations-Based Reference Dependent Preferences? A Test, Experimental Evidence, And Estimates Of Loss Aversion," Working papers 206, Centre for Development Economics, Delhi School of Economics.
    12. Barberis, Nicholas & Xiong, Wei, 2012. "Realization utility," Journal of Financial Economics, Elsevier, vol. 104(2), pages 251-271.
    13. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    14. Philip Bromiley, 2009. "A Prospect Theory Model of Resource Allocation," Decision Analysis, INFORMS, vol. 6(3), pages 124-138, September.
    15. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    16. K. Cuthbertson & D. Nitzsche & S. Hyde, 2007. "Monetary Policy And Behavioural Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 935-969, December.
    17. 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.
    18. Julien Pénasse & Luc Renneboog, 2022. "Speculative Trading and Bubbles: Evidence from the Art Market," Management Science, INFORMS, vol. 68(7), pages 4939-4963, July.
    19. Alan Beggs & Kathryn Graddy, 2008. "Failure to meet the reserve price: the impact on returns to art," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(4), pages 301-320, December.
    20. Grinblatt, Mark & Han, Bing, 2001. "The Disposition Effect and Momentum," University of California at Los Angeles, Anderson Graduate School of Management qt6qg5d62p, Anderson Graduate School of Management, UCLA.

    More about this item

    Keywords

    Reference Dependence; Loss Aversion; Prospect Theory; Art; Auctions;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oxf:wpaper:228. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anne Pouliquen (email available below). General contact details of provider: https://edirc.repec.org/data/sfeixuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.