Last Minute Feedback
AbstractFeedback 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 5693.
Date of creation: Jun 2006
Date of revision:
Contact details of provider:
Postal: Centre for Economic Policy Research, 77 Bastwick Street, London EC1V 3PZ
Phone: 44 - 20 - 7183 8801
Fax: 44 - 20 - 7183 8820
Other versions of this item:
- Klein, Tobias J. & Lambertz, Christian & Spagnolo, Giancarlo & Stahl, Konrad O., 2006. "Last Minute Feedback," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 62, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
- D44 - Microeconomics - - Market Structure and Pricing - - - 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
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Resnick, Paul & Zeckhauser, Richard & Swanson, John & Lockwood, Kate, 2003.
"The Value of Reputation on eBay: A Controlled Experiment,"
Working Paper Series
rwp03-007, Harvard University, John F. Kennedy School of Government.
- Paul Resnick & Richard Zeckhauser & John Swanson & Kate Lockwood, 2006. "The value of reputation on eBay: A controlled experiment," Experimental Economics, Springer, vol. 9(2), pages 79-101, June.
- Cabral, Luís M B & Hortaçsu, Ali, 2004.
"The Dynamics of Seller Reputation: Theory and Evidence from eBay,"
CEPR Discussion Papers
4345, C.E.P.R. Discussion Papers.
- Luís Cabral & Ali Hortacsu, 2004. "The Dynamics of Seller Reputation: Theory and Evidence from eBay," Working Papers 04-05, New York University, Leonard N. Stern School of Business, Department of Economics.
- 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.
- 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, 06.
- 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.
- 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 329-55, Summer.
- Werner GÃ¼th & 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.
- 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.
- Klein, Tobias & Lambertz, Christian & Stahl, Konrad O, 2013.
"Adverse Selection and Moral Hazard in Anonymous Markets,"
CEPR Discussion Papers
9501, C.E.P.R. Discussion Papers.
- 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.
- Klein, Tobias J. & Lambertz, Christian & Stahl, Konrad O., 2013. "Adverse selection and moral hazard in anonymous markets," ZEW Discussion Papers 13-050, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- 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.
- Klein, Tobias J. & Lambertz, Christian & Stahl, Konrad O., 2013. "Market Transparency, Adverse Selection, and Moral Hazard," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 426, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
- Li, Lingfang (Ivy), 2010. "What is the cost of venting? Evidence from eBay," Economics Letters, Elsevier, vol. 108(2), pages 215-218, August.
- 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.
- Bargagliotti, Anna E. & Li, Lingfang (Ivy), 2009. "Decision Making Using Rating Systems: When Scale Meets Binary," MPRA Paper 16947, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.