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The value of information for auctioneers

  • Hagedorn, Marcus

An auctioneer wants to sell an indivisible object to one of multiple bidders, who have private information about their valuations of the object. A bidder's information structure determines the accuracy with which the bidder knows her private valuation. The main result of the paper is that the auctioneer's revenue is a convex function of bidders' information structures. One implication is that assigning asymmetric information structures instead of symmetric information structures to bidders is always revenue-enhancing. This paper generalizes a result of Bergemann and Pesendorfer [D. Bergemann, M. Pesendorfer, Information structures in optimal auctions, J. Econ. Theory 137 (2007) 580-609], who show that revenue-maximizing information structures are asymmetric.

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Article provided by Elsevier in its journal Journal of Economic Theory.

Volume (Year): 144 (2009)
Issue (Month): 5 (September)
Pages: 2197-2208

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Handle: RePEc:eee:jetheo:v:144:y:2009:i:5:p:2197-2208
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/622869

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  1. Jehiel, Phillipe & Moldovanu, Benny, 1999. "Efficient Design with Interdependent Valuations," Sonderforschungsbereich 504 Publications 99-74, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
  2. Cremer, J. & Khalil, F. & Rochet, J-C., 1997. "Contracts and productive information gathering," Discussion Paper Series In Economics And Econometrics 9707, Economics Division, School of Social Sciences, University of Southampton.
  3. Cremer, Jacques & Khalil, Fahad & Rochet, Jean-Charles, 1998. "Strategic Information Gathering before a Contract Is Offered," Journal of Economic Theory, Elsevier, vol. 81(1), pages 163-200, July.
  4. Cremer, J. & Khalil, F., 1991. "Gathering Information Before Signing a Contract," Working Papers 91-16, University of Washington, Department of Economics.
  5. Jeremy Bulow & Ming Huang & Paul Klemperer, 1996. "Toeholds and Takeovers," Finance 9608001, EconWPA.
  6. Olivier Compte & Philippe Jehiel, 2005. "Auctions and Information acquisition: Sealed-bid or Dynamic Formats?," Levine's Bibliography 784828000000000495, UCLA Department of Economics.
  7. Dirk Bergemann & Martin Pesendorfer, 2001. "Information Structures in Optimal Auctions," Cowles Foundation Discussion Papers 1323, Cowles Foundation for Research in Economics, Yale University.
  8. Jacques Cremer & Yossi Spiegel & Charles Z. Zheng, 2005. "Optimal Search Auctions," Discussion Papers 1421, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  9. Paul Klemperer, 1999. "Auction Theory: A Guide to the Literature," Economics Series Working Papers 1999-W12, University of Oxford, Department of Economics.
  10. Sobel, Joel, 1993. "Information Control in the Principal-Agent Problem," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 34(2), pages 259-69, May.
  11. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680, March.
  12. Glaeser, Edward L. & Kallal, Hedi D., 1997. "Thin Markets, Asymmetric Information, and Mortgage-Backed Securities," Journal of Financial Intermediation, Elsevier, vol. 6(1), pages 64-86, January.
  13. Dirk Bergemann & Juuso Valimaki, 2002. "Information Acquisition and Efficient Mechanism Design," Econometrica, Econometric Society, vol. 70(3), pages 1007-1033, May.
  14. Crémer, Jacques & Spiegel, Yossi & Zheng, Charles Zhoucheng, 2007. "Auctions with Costly Information Acquisition," Staff General Research Papers 12709, Iowa State University, Department of Economics.
  15. Bikhchandani, Sushil & Riley, John G., 1991. "Equilibria in open common value auctions," Journal of Economic Theory, Elsevier, vol. 53(1), pages 101-130, February.
  16. Lewis Tracy R. & Sappington David E. M., 1993. "Ignorance in Agency Problems," Journal of Economic Theory, Elsevier, vol. 61(1), pages 169-183, October.
  17. John G. Riley & William Samuelson, 1979. "Optimal Auctions," UCLA Economics Working Papers 152, UCLA Department of Economics.
  18. Cremer, Jacques & McLean, Richard P, 1988. "Full Extraction of the Surplus in Bayesian and Dominant Strategy Auctions," Econometrica, Econometric Society, vol. 56(6), pages 1247-57, November.
  19. Nicola Persico, 1997. "Information Acquisition in Auctions," UCLA Economics Working Papers 762, UCLA Department of Economics.
  20. Paul Klemperer, 1997. "Auctions with Almost Common Values: The Wallet Game and its Applications," Economics Series Working Papers 1998-W03, University of Oxford, Department of Economics.
  21. Bulow, Jeremy & Roberts, John, 1989. "The Simple Economics of Optimal Auctions," Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1060-90, October.
  22. Maskin, Eric S & Riley, John G, 1984. "Optimal Auctions with Risk Averse Buyers," Econometrica, Econometric Society, vol. 52(6), pages 1473-1518, November.
  23. Drew Fudenberg & Jean Tirole, 1991. "Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061414, June.
  24. Péter Eső & Bal�zs Szentes, 2007. "Optimal Information Disclosure in Auctions and the Handicap Auction," Review of Economic Studies, Oxford University Press, vol. 74(3), pages 705-731.
  25. Lewis, Tracy R & Sappington, David E M, 1997. "Information Management in Incentive Problems," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 796-821, August.
  26. Arnoud W A Boot & Anjan V Thakor, 1992. "Security Design," CEPR Financial Markets Paper 0020, European Science Foundation Network in Financial Markets, c/o C.E.P.R, 77 Bastwick Street, London EC1V 3PZ..
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