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Information Acquisition in Interdependent Value Auctions

Author

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  • Dirk Bergemann
  • Juuso Välimäki
  • Xianwen Shi
Abstract
We consider an auction environment with interdependent values. Each bidder can learn her payoff type through costly information acquisition. We contrast the socially optimal decision to acquire information with the equilibrium solution in which each agent has to privately bear the cost of information acquisition. In the context of the generalized Vickrey-Clarke-Groves mechanism, we establish that the equilibrium level exceeds the socially optimal level of information with positive interdependence. The individual decisions to acquire information are strategic substitutes. The difference between the equilibrium and the efficient level of information acquisition is increasing in the interdependence of the bidders' valuations and decreasing in the number of informed bidders.
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Suggested Citation

  • Dirk Bergemann & Juuso Välimäki & Xianwen Shi, 2007. "Information Acquisition in Interdependent Value Auctions," Levine's Bibliography 843644000000000320, UCLA Department of Economics.
    • Handle: RePEc:cla:levrem:843644000000000320
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    References listed on IDEAS

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    Cited by:

    1. Li, Yunan, 2019. "Efficient mechanisms with information acquisition," Journal of Economic Theory, Elsevier, vol. 182(C), pages 279-328.
    2. Yunan Li, 2017. "Efficient Mechanisms with Information Acquisition," PIER Working Paper Archive 16-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 23 Jun 2017.
    3. Szech, Nora, 2011. "Optimal disclosure of costly information packages in auctions," Journal of Mathematical Economics, Elsevier, vol. 47(4-5), pages 462-469.
    4. Kyungmin Kim & Benjamin Lester & Braz Camargo, 2012. "Subsidizing Price Discovery," 2012 Meeting Papers 338, Society for Economic Dynamics.
    5. Tatoutchoup, Francis Didier, 2017. "Forestry auctions with interdependent values: Evidence from timber auctions," Forest Policy and Economics, Elsevier, vol. 80(C), pages 107-115.
    6. Liu, Tingjun & Bernhardt, Dan, 2024. "Auctioning control and cash-flow rights separately," The Warwick Economics Research Paper Series (TWERPS) 1516, University of Warwick, Department of Economics.
    7. Hitoshi Matsushima & Shunya Noda, 2016. "Mechanism Design in Hidden Action and Hidden Information: Richness and Pure Groves," CIRJE F-Series CIRJE-F-1015, CIRJE, Faculty of Economics, University of Tokyo.
    8. Braz Camargo & Kyungmin Kim & Benjamin Lester, 2016. "Information Spillovers, Gains from Trade, and Interventions in Frozen Markets," The Review of Financial Studies, Society for Financial Studies, vol. 29(5), pages 1291-1329.
    9. Dirk Bergemann & Xianwen Shi & Juuso Valimaki, 2009. "Information Acquisition in Interdependent Value Actions," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 61-89, March.
    10. Tian, Guoqiang & Xiao, Mingjun, 2007. "Endogenous Information Acquisition on Opponents' Valuations in Multidimensional First Price Auctions," MPRA Paper 41214, University Library of Munich, Germany, revised Jan 2010.
    11. Sushil Bikhchandani & Ichiro Obara, 2017. "Mechanism design with information acquisition," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 63(3), pages 783-812, March.
    12. Florian Gauer & Christoph Kuzmics, 2020. "Cognitive Empathy In Conflict Situations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1659-1678, November.
    13. Li, Shengyu & Tian, Guoqiang, 2008. "Equilibria in Second Price Auctions with Information Acquisition," MPRA Paper 41210, University Library of Munich, Germany.
    14. repec:grz:wpaper:2016-02 is not listed on IDEAS
    15. Vitali Gretschko & Alexander Rajko, 2015. "Excess information acquisition in auctions," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 335-355, September.

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    More about this item

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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