Advanced Search
MyIDEAS: Login

Last Minute Feedback

Contents:

Author Info

  • Klein, Tobias J.
  • Lambertz, Christian
  • Spagnolo, Giancarlo
  • Stahl, Konrad O.

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 behavior 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 be low. 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, most likely 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 Info

If 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.
File URL: http://epub.ub.uni-muenchen.de/13488/1/62.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich in its series Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems with number 62.

as in new window
Length:
Date of creation: Mar 2006
Date of revision:
Handle: RePEc:trf:wpaper:62

Contact details of provider:
Postal: Geschwister-Scholl-Platz 1, D-80539 Munich, Germany
Phone: +49-(0)89-2180-3405
Fax: +49-(0)89-2180-3510
Web page: http://www.sfbtr15.de/
More information through EDIRC

Related research

Keywords: eBay; reputation mechanism; strategic feedback behavior; informational content; reciprocity; fear of retaliation;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
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.:
as in new window
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
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 in new window

Cited by:
  1. Tobias J. Klein & Christian Lambertz & Konrad O. Stahl, 2013. "Market Transparency, Adverse Selection, and Moral Hazard," CESifo Working Paper Series 4552, CESifo Group Munich.
  2. 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.
  3. Li, Lingfang (Ivy), 2010. "What is the cost of venting? Evidence from eBay," Economics Letters, Elsevier, vol. 108(2), pages 215-218, August.
  4. 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.
  5. 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.
  6. Bargagliotti, Anna E. & Li, Lingfang (Ivy), 2009. "Decision Making Using Rating Systems: When Scale Meets Binary," MPRA Paper 16947, University Library of Munich, Germany.
  7. 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.
  8. 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.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:trf:wpaper:62. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alexandra Frank).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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