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Effects of Information-Revelation Policies Under Market-Structure Uncertainty

Listed author(s):
  • Ashish Arora

    ()

    (Heinz School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Amy Greenwald

    ()

    (Computer Science Department, Brown University, Providence, Rhode Island 02912)

  • Karthik Kannan

    ()

    (Krannert School of Management, Purdue University, West Lafayette, Indiana 47907)

  • Ramayya Krishnan

    ()

    (Heinz School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Geographically dispersed sellers in electronic reverse marketplaces such as those hosted by market-makers like Ariba are uncertain about the number of competitors they face in any given market session. We refer to this uncertainty about the number of competitors as market-structure uncertainty. Over the course of several market sessions sellers learn about the competitive nature of the marketplace. How they learn to reduce the market-structure uncertainty depends on the market-transparency scheme, or the revelation policy adopted. A revelation policy determines the extent to which information--the number of sellers in a session, their bidding patterns, etc.--is revealed to sellers. Because these policies control what sellers learn and how they bid in future sessions, they determine buyer surplus. Possibly because market-structure uncertainty is more prevalent in information technology-enabled marketplaces than traditional ones, prior work has not addressed the impact of revelation policies on this type of uncertainty. Currently, there is little guidance available to buyers in choosing the appropriate revelation policy. To address this information-technology-enabled problem, we use game theory to compare the buyer surplus generated under a set of revelation policies commonly used in electronic reverse marketplaces. We demonstrate that the policy that generates the least amount of market-structure uncertainty for the sellers always maximizes buyer surplus. We further investigate to provide intuition regarding how bidders' reactions to overcome uncertainty differs with the nature of uncertainty, and how those reactions impact buyer surplus.

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File URL: http://dx.doi.org/10.1287/mnsc.1060.0688
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Article provided by INFORMS in its journal Management Science.

Volume (Year): 53 (2007)
Issue (Month): 8 (August)
Pages: 1234-1248

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Handle: RePEc:inm:ormnsc:v:53:y:2007:i:8:p:1234-1248
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  1. Janssen, Maarten & Rasmusen, Eric, 2002. "Bertrand Competition under Uncertainty," Journal of Industrial Economics, Wiley Blackwell, vol. 50(1), pages 11-21, March.
  2. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
  3. Dekel, Eddie & Fudenberg, Drew & Levine, David K., 2004. "Learning to play Bayesian games," Games and Economic Behavior, Elsevier, vol. 46(2), pages 282-303, February.
  4. Hon-Snir, Shlomit & Monderer, Dov & Sela, Aner, 1998. "A Learning Approach to Auctions," Journal of Economic Theory, Elsevier, vol. 82(1), pages 65-88, September.
  5. Guzman, Rolando M & Kolstad, Charles D., 1997. "Auction Equilibrium with Costly Information Acquisition," University of California at Santa Barbara, Economics Working Paper Series qt4w0787ng, Department of Economics, UC Santa Barbara.
  6. Foster, F Douglas & Viswanathan, S, 1993. " Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models," Journal of Finance, American Finance Association, vol. 48(1), pages 187-211, March.
  7. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
  8. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
  9. Milgrom, Paul R, 1981. "Rational Expectations, Information Acquisition, and Competitive Bidding," Econometrica, Econometric Society, vol. 49(4), pages 921-943, June.
  10. Schweizer, Urs & von Ungern-Sternberg, Thomas, 1983. "Sealed Bid Auctions and the Search for Better Information," Economica, London School of Economics and Political Science, vol. 50(197), pages 79-85, February.
  11. Holden, Craig W & Subrahmanyam, Avanidhar, 1992. " Long-Lived Private Information and Imperfect Competition," Journal of Finance, American Finance Association, vol. 47(1), pages 247-270, March.
  12. Scott M. Carr, 2003. "Note on Online Auctions with Costly Bid Evaluation," Management Science, INFORMS, vol. 49(11), pages 1521-1528, November.
  13. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
  14. Hausch, Donald B., 1988. "A model of sequential auctions," Economics Letters, Elsevier, vol. 26(3), pages 227-233.
  15. Madhavan, Ananth, 1992. " Trading Mechanisms in Securities Markets," Journal of Finance, American Finance Association, vol. 47(2), pages 607-641, June.
  16. Harstad, Ronald M, 1990. "Alternative Common-Value Auction Procedures: Revenue Comparisons with Free Entry," Journal of Political Economy, University of Chicago Press, vol. 98(2), pages 421-429, April.
  17. Foster, F Douglas & Viswanathan, S, 1993. "The Effect of Public Information and Competition on Trading Volume and Price Volatility," Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 23-56.
  18. Kolstad, Charles D., 1997. "A Model of Auction Equilibrium with Costly Information Acquisition," University of California at Santa Barbara, Economics Working Paper Series qt4502p3n4, Department of Economics, UC Santa Barbara.
  19. Kevin Zhu, 2004. "Information Transparency of Business-to-Business Electronic Markets: A Game-Theoretic Analysis," Management Science, INFORMS, vol. 50(5), pages 670-685, May.
  20. Robert Wilson, 1977. "A Bidding Model of Perfect Competition," Review of Economic Studies, Oxford University Press, vol. 44(3), pages 511-518.
  21. Foster, F Douglas & Viswanathan, S, 1996. " Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-1478, September.
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