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Reputational effects on third-party agents: A study of the market for fine and rare wines

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  • Barbos, Andrei
  • Hartman, John

Abstract

We examine the effectiveness of a quality assurance mechanism that relies on a third-party's reputation. We focus on the market for fine and rare wines where auction houses intermediating between sellers and buyers have also claimed expertise to assess product authenticity. An auction house's reputation can sustain product quality in this market only if consumers absorb relevant information and reduce demand through houses who fail at screening out counterfeits. We test the existence of such reputational effects by studying the market responses to a major disclosure from 2012 of three auction houses having auctioned thousands of bottles of fake wine. We find that these houses did suffer reputational losses. These losses are demonstrated over the following year by a decrease in equilibrium sales prices of all wines, and a decrease in sales quantities of older wines, relative to other houses.

Suggested Citation

  • Barbos, Andrei & Hartman, John, 2023. "Reputational effects on third-party agents: A study of the market for fine and rare wines," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 359-372.
  • Handle: RePEc:eee:jeborg:v:208:y:2023:i:c:p:359-372
    DOI: 10.1016/j.jebo.2023.02.010
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    as
    1. Taco C.R. van Someren & Shuhua van Someren-Wang, 2017. "Strategic Innovation in Russia," Springer Books, Springer, number 978-3-319-41081-4, July.
    2. Winand Emons, 1997. "Credence Goods and Fraudelent Experts," RAND Journal of Economics, The RAND Corporation, vol. 28(1), pages 107-119, Spring.
    3. Gregory Lewis, 2011. "Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors," American Economic Review, American Economic Association, vol. 101(4), pages 1535-1546, June.
    4. Maria De Paola & Vincenzo Scoppa, 2013. "Consumers’ Reactions to Negative Information on Product Quality: Evidence from Scanner Data," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 42(3), pages 235-280, May.
    5. Ashenfelter, Orley, 2010. "Predicting the Quality and Prices of Bordeaux Wine," Journal of Wine Economics, Cambridge University Press, vol. 5(1), pages 40-52, April.
    6. Seth Freedman & Melissa Kearney & Mara Lederman, 2012. "Product Recalls, Imperfect Information, and Spillover Effects: Lessons from the Consumer Response to the 2007 Toy Recalls," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 499-516, May.
    7. Wolfram Schlenker & Sofia B. Villas-Boas, 2009. "Consumer and Market Responses to Mad Cow Disease," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1140-1152.
    8. Daniel W. Elfenbein & Raymond Fisman & Brian McManus, 2015. "Market Structure, Reputation, and the Value of Quality Certification," American Economic Journal: Microeconomics, American Economic Association, vol. 7(4), pages 83-108, November.
    9. Ginger Zhe Jin & Andrew Kato, 2006. "Price, quality, and reputation: evidence from an online field experiment," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 983-1005, December.
    10. Sanjeev Dewan & Vernon Hsu, 2004. "Adverse Selection In Electronic Markets: Evidence From Online Stamp Auctions," Journal of Industrial Economics, Wiley Blackwell, vol. 52(4), pages 497-516, December.
    11. David W. Prince & Paul H. Rubin, 2002. "The Effects of Product Liability Litigation on the Value of Firms," American Law and Economics Review, American Law and Economics Association, vol. 4(1), pages 44-87, January.
    12. Anders Aslund, 2017. "Russia’s Crony Capitalism: Stagnant But Stable," mBank - CASE Seminar Proceedings 0148, CASE-Center for Social and Economic Research.
    13. Schlenker, Wolfram & Villas-Boas, Sofia, 2009. "AJAE appendix for ‘Consumer and Market Responses to Mad-Cow Disease’," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(4), pages 1-12, March.
    14. Mkrtchyan G. & Tagaeva T. & Tsvelodub Yu., 2017. "Analysis and forecast of environmental load in Russia," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 17(1), pages 57-69.
    15. Zhukova Olesia A. & Ivashkova N.I., 2017. "Marketing Strategies Of Low-Cost Airlines In Russia," Annals of marketing-mba, Department of Marketing, Marketing MBA (RSconsult), vol. 2, June.
    16. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    17. Soham Baksi & Pinaki Bose, 2007. "Credence Goods, Efficient Labelling Policies, and Regulatory Enforcement," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(2), pages 411-430, June.
    18. Wujin Chu & Woosik Chu, 1994. "Signaling Quality by Selling Through a Reputable Retailer: An Example of Renting the Reputation of Another Agent," Marketing Science, INFORMS, vol. 13(2), pages 177-189.
    19. Antonello E. Scorcu & Laura Vici & Roberto Zanola, 2021. "To fake or not to fake: An empirical investigation on the fine art market," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(1), pages 143-152, March.
    20. Mikhail I. Melnik & James Alm, 2005. "Seller Reputation, Information Signals, and Prices for Heterogeneous Coins on eBay," Southern Economic Journal, John Wiley & Sons, vol. 72(2), pages 305-328, October.
    21. Klein, Benjamin & Leffler, Keith B, 1981. "The Role of Market Forces in Assuring Contractual Performance," Journal of Political Economy, University of Chicago Press, vol. 89(4), pages 615-641, August.
    22. Bocart, Fabian & Oosterlinck, Kim, 2011. "Discoveries of fakes: Their impact on the art market," Economics Letters, Elsevier, vol. 113(2), pages 124-126.
    23. Darby, Michael R & Karni, Edi, 1973. "Free Competition and the Optimal Amount of Fraud," Journal of Law and Economics, University of Chicago Press, vol. 16(1), pages 67-88, April.
    24. Rizhamadze M.O., 2017. "Russian Floor Coverings Market Overview And Perspectives," Annals of marketing-mba, Department of Marketing, Marketing MBA (RSconsult), vol. 3, November.
    25. Schlenker, Wolfram & Villas-Boas, Sofia B, 2008. "Consumer and Market Responses to Mad-Cow Disease," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7995j7cm, Department of Agricultural & Resource Economics, UC Berkeley.
    26. Mikhail I. Melnik & James Alm, 2005. "Seller Reputation, Information Signals, and Prices for Heterogeneous Coins on eBay," Southern Economic Journal, John Wiley & Sons, vol. 72(2), pages 305-328, October.
    27. Ginger Zhe Jin & Andrew Kato, 2006. "Price, quality, and reputation: evidence from an online field experiment," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 983-1005, December.
    28. David Dranove & Subramaniam Ramanarayanan & Yasutora Watanabe, 2012. "Delivering Bad News: Market Responses to Negligence," Journal of Law and Economics, University of Chicago Press, vol. 55(1), pages 1-25.
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    More about this item

    Keywords

    Reputation; Quality assurance mechanisms; Wine auctions;
    All these keywords.

    JEL classification:

    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General

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