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Market Research and Market Design

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  • Sandeep Baliga
  • Rakesh Vohra

Abstract

We study trading models when the distribution of signals such as costs or values is not known to traders or the mechanism designer when the profit-maximizing trading procedure is designed. We present adaptive mechanisms that simultaneously elicit this information (market research) while maintaining incentive compatibility and maximizing profits when the set of traders is large (market design). First, we study a monopoly pricing model where neither the seller nor the buyers know the distribution of values. Second, we study a model with a broker intermediating trade between a large number of buyers and sellers with private information about their valuations and costs. We show that when the set of traders becomes large our adaptive mechanisms achieve the same expected profits for the monopolist and the broker as when the distribution of signals is common knowledge.

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Bibliographic Info

Paper provided by David K. Levine in its series Levine's Working Paper Archive with number 506439000000000336.

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Date of creation: 11 Dec 2010
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Handle: RePEc:cla:levarc:506439000000000336

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  1. Gresik, Thomas A. & Satterthwaite, Mark A., 1989. "The rate at which a simple market converges to efficiency as the number of traders increases: An asymptotic result for optimal trading mechanisms," Journal of Economic Theory, Elsevier, vol. 48(1), pages 304-332, June.
  2. Dirk Bergemann & Stephen Morris, 2005. "Robust Mechanism Design," Econometrica, Econometric Society, vol. 73(6), pages 1771-1813, November.
  3. Wilson, Robert B, 1985. "Incentive Efficiency of Double Auctions," Econometrica, Econometric Society, vol. 53(5), pages 1101-15, September.
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Cited by:
  1. Pierangelo Mori, 2008. "Design of Multidimensional Franchise Auctions by an Ignorant Principal," Working Papers - Economics wp2008_13.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  2. Simon Loertscher & Andras Niedermayer, 2007. "When is Seller Price Setting with Linear Fees Optimal for Intermediaries?," Department of Economics - Working Papers Series 1014, The University of Melbourne.
  3. Goldberg, Andrew V. & Hartline, Jason D. & Karlin, Anna R. & Saks, Michael & Wright, Andrew, 2006. "Competitive auctions," Games and Economic Behavior, Elsevier, vol. 55(2), pages 242-269, May.
  4. Simon Loertscher & Andras Niedermayer, 2008. "Fee Setting Intermediaries: On Real Estate Agents, Stock Brokers, and Auction Houses," Discussion Papers 1472, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

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