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Last Minute Feedback

Author

Listed:
  • Stahl, Konrad
  • Spagnolo, Giancarlo
  • Klein, Tobias
  • Lambertz, Christian

Abstract

Feedback mechanisms that allow partners to rate each other after a transaction are considered crucial for the success of anonymous internet trading platforms. We document an asymmetry in the feedback behaviour on eBay, propose an explanation based on the micro structure of the feedback mechanism and the time when feedbacks are given, and support this explanation by findings from a large data set. Our analysis implies that the informational content of feedback records is likely to below. The reason for this is that agents appear to leave feedbacks strategically. Negative feedbacks are given late, in the "last minute", or not given at all, because of the fear of retaliative negative feedback. Conversely, positive feedbacks are given early in order to encourage reciprocation. Towards refining our insights into the observed pattern, we look separately at buyers and sellers, and relate the magnitude of the effects to the trading partners' experience.

Suggested Citation

  • Stahl, Konrad & Spagnolo, Giancarlo & Klein, Tobias & Lambertz, Christian, 2006. "Last Minute Feedback," CEPR Discussion Papers 5693, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:5693
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    References listed on IDEAS

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    1. Ernst Fehr & Klaus M. Schmidt, 1999. "A Theory of Fairness, Competition, and Cooperation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 817-868.
    2. Alvin E. Roth & Axel Ockenfels, 2002. "Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet," American Economic Review, American Economic Association, vol. 92(4), pages 1093-1103, September.
    3. Paul Resnick & Richard Zeckhauser & John Swanson & Kate Lockwood, 2006. "The value of reputation on eBay: A controlled experiment," Experimental Economics, Springer;Economic Science Association, vol. 9(2), pages 79-101, June.
    4. Bajari, Patrick & Hortacsu, Ali, 2003. "The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 329-355, Summer.
    5. Daniel Houser & John Wooders, 2006. "Reputation in Auctions: Theory, and Evidence from eBay," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 353-369, June.
    6. Luis Cabral & Ali Hortacsu, 2004. "The Dynamics of Seller Reputation: Theory and Evidence from eBay," NBER Working Papers 10363, National Bureau of Economic Research, Inc.
    7. Alvin E. Roth, 2002. "The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics," Econometrica, Econometric Society, vol. 70(4), pages 1341-1378, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Tobias J. Klein & Christian Lambertz & Konrad O. Stahl, 2016. "Market Transparency, Adverse Selection, and Moral Hazard," Journal of Political Economy, University of Chicago Press, vol. 124(6), pages 1677-1713.
    2. Li, Lingfang (Ivy) & Xiao, Erte, 2010. "Money Talks? An Experimental Study of Rebate in Reputation System Design," MPRA Paper 22401, University Library of Munich, Germany.
    3. Klein, T.J. & Lambertz, C. & Stahl, K., 2013. "Adverse Selection and Moral Hazard in Anonymous Markets," Discussion Paper 2013-032, Tilburg University, Center for Economic Research.
    4. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    5. David Masclet & Thierry Pénard, 2008. "Is the ebay feedback system really efficient ? an experimental study," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 200803, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    6. Halliday, Simon D. & Lafky, Jonathan, 2019. "Reciprocity through ratings: An experimental study of bias in evaluations," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 83(C).
    7. Friederike Mengel & Axel Ockenfels & Werner Güth, 2006. "The Dynamics of Trust and Trustworthiness on EBay. An Evolutionary Analysis of Buyer Insurance and Seller Reputation," Papers on Strategic Interaction 2006-03, Max Planck Institute of Economics, Strategic Interaction Group.
    8. Werner Güth & Friederike Mengel & Axel Ockenfels, 2007. "An Evolutionary Analysis of Buyer Insurance and Seller Reputation in Online Markets," Theory and Decision, Springer, vol. 63(3), pages 265-282, November.
    9. Li, Lingfang (Ivy), 2010. "What is the cost of venting? Evidence from eBay," Economics Letters, Elsevier, vol. 108(2), pages 215-218, August.
    10. Klein, Tobias & Lambertz, C. & Stahl, K.O., 2016. "Market transparency, adverse selection, and moral hazard," Other publications TiSEM e1b72b65-7277-4991-8880-4, Tilburg University, School of Economics and Management.
    11. David Masclet & Thierry P鮡rd, 2012. "Do reputation feedback systems really improve trust among anonymous traders? An experimental study," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4553-4573, December.
    12. Bargagliotti, Anna E. & Li, Lingfang (Ivy), 2009. "Decision Making Using Rating Systems: When Scale Meets Binary," MPRA Paper 16947, University Library of Munich, Germany.

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    More about this item

    Keywords

    Ebay; Reputation mechanism; Strategic feedback behaviour; Informational content; Reciprocity; Fear of retaliation;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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