This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Last Minute Feedback

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Tobias J. Klein (University of Mannheim, Department of Economics, 68131 Mannheim, Germany. klein@econ.uni-mannheim.de)
Christian Lambertz (University of Mannheim, Department of Economics, 68131 Mannheim, Germany. lambertz@econ.uni-mannheim.de)
Giancarlo Spagnolo (Consip, Stockholm School of Economics, and C.E.P.R. giancaspagnolo@yahoo.com)
Konrad O. Stahl (University of Mannheim, Department of Economics, 68131 Mannheim, Germany; C.E.P.R., CESifo, and ZEW. kos@econ.uni-mannheim.de)

Additional information is available for the following registered author(s):

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
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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://www.sfbtr15.de/dipa/62.pdf
File Format: application/pdf
File Function:
Download Restriction: no

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

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Jul 2005
Date of revision: Mar 2006
Handle: RePEc:trf:wpaper:62

Contact details of provider:
Postal: D-68131 Mannheim
Fax: +49 621 181-2785
Email:
Web page: http://www.sfbtr15.de/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Claudia Jung).

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:
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:

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.:
  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. 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. [Downloadable!] (restricted)
    Other versions:
  3. 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. [Downloadable!] (restricted)
  4. 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. [Downloadable!] (restricted)
    Other versions:
  5. Daniel Houser & John Wooders, 2006. "Reputation in Auctions: Theory, and Evidence from eBay," Journal of Economics & Management Strategy, Blackwell Publishing, vol. 15(2), pages 353-369, 06. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, 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.)

  1. Bargagliotti, Anna E. & Li, Lingfang (Ivy), 2009. "Decision Making Using Rating Systems: When Scale Meets Binary," MPRA Paper 16947, University Library of Munich, Germany. [Downloadable!]
  2. 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. [Downloadable!]
Statistics
Access and download statistics

Did you know? IDEAS also indexes book chapters.

This page was last updated on 2009-12-1.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.