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Competing sellers in online markets: reserve prices, shill bidding, and auction fees

Published: 09 May 2006 Publication History

Abstract

In this paper, we consider competition between sellers offering similar items in concurrent online auctions, where each seller must set its individual auction parameters (such as the reserve price) in such a way as to attract buyers. We show that in the case of two sellers with asymmetric production costs, there exists a pure Nash equilibrium in which both sellers set reserve prices above their production costs. In addition, we show that, rather than setting a reserve price, a seller can further improve its utility by shill bidding (i.e., pretending to be a buyer in order to bid in its own auction). But, through the use of an evolutionary simulation, we show that this shill bidding introduces inefficiences within the market. However, we then go on to show that these inefficiences can be reduced when the mediating auction institution uses appropriate auction fees that deter sellers from submitting shill bids. Specifically, we compare two types of auction fees and show that, in this respect, those based on the difference between the closing price and the reserve price are more effective than the commonly used fees that are based on closing price alone.

References

[1]
P. Anthony and N.R. Jennings. Developing a bidding agent for multiple heterogeneous auctions. ACM Trans. on Internet Technology, 3(3):185-217, 2003.
[2]
S. Bohte, E. Gerding, and H. La Poutré. Market-based recommendation: Agents that compete for consumer attention. ACM Trans. on Internet Technology, 4: 420-448, 2004.
[3]
R. Burguet and J. Sákovics. Imperfect competition in auction design. International Economic Review, 40(1):231-247, 1999.
[4]
A. Byde, C. Preist, and N.R. Jennings. Decision procedures for multiple auctions. In Proc. 1st Int. Joint Conf. on Autonomous Agents and Multi-Agent Systems, Bologna, Italy, pages 613-620. ACM Press, 2002.
[5]
S.H. Clearwater, editor. Market-Based Control: A Paradigm for Distributed Resource Allocation. World Scientific Publishing, 1996.
[6]
E.H. Gerding and H. La Poutré. Bilateral bargaining with multiple opportunities: Knowing your opponent's bargaining position. IEEE Transactions on System, Man, and Cybernetics: Part C, to appear.
[7]
Á. Hernando-Veciana. Competition among auctioneers in large markets. Journal of Economic Theory, 121:107-127, 2005.
[8]
R.J. Kauffman and C.A. Wood. The effects of shilling on final bid prices in online auctions. Electronic Commerce Research and Applications, 4:21-34, 2005.
[9]
V. Krishna. Auction Theory. Academic Press, 2002.
[10]
R. Preston McAfee. Mechanism design by competing sellers. Econometrica, 61(6):1281-1312, 1993.
[11]
M. Peters and S. Severinov. Competition among sellers who offer auctions instead of prices. Journal of Economic Theory, 75:141-179, 1997.
[12]
A. Rogers, E. David, and N.R. Jennings. Self organised routing for wireless micro-sensor networks. IEEE Trans. on Systems, Man and Cybernetics: Part A, 35(3):349-359, 2005.
[13]
W. Wang, Z. Hidvégi, and A.B. Whinston. Shill-proof fee (SPF) schedule: The sunscreen against seller self-collusion in online english auctions. Working Paper, 2004.

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Published In

cover image Guide Proceedings
TADA/AMEC'06: Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
May 2006
248 pages
ISBN:9783540725015
  • Editors:
  • Maria Fasli,
  • Onn Shehory

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 09 May 2006

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