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Information Acquisition in Interdependent Value Actions

Author

Listed:
  • Dirk Bergemann
  • Xianwen Shi
  • Juuso Valimaki

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. (JEL: C72, C73, D43, D83)

Suggested Citation

  • 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.
    • Handle: RePEc:tpr:jeurec:v:7:y:2009:i:1:p:61-89
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    Cited by:

    1. 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.
    2. Szech, Nora, 2011. "Optimal disclosure of costly information packages in auctions," Journal of Mathematical Economics, Elsevier, vol. 47(4-5), pages 462-469.
    3. Tatoutchoup, Francis Didier, 2017. "Forestry auctions with interdependent values: Evidence from timber auctions," Forest Policy and Economics, Elsevier, vol. 80(C), pages 107-115.
    4. 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.
    5. 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.
    6. 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.
    7. Matthew Ellman & Sjaak Hurkens, 2025. "The Limits of Crowdfunding with Common Values," Working Papers 1477, Barcelona School of Economics.
    8. Kyungmin Kim & Benjamin Lester & Braz Camargo, 2012. "Subsidizing Price Discovery," 2012 Meeting Papers 338, Society for Economic Dynamics.
    9. repec:grz:wpaper:2016-02 is not listed on IDEAS
    10. Li, Yunan, 2019. "Efficient mechanisms with information acquisition," Journal of Economic Theory, Elsevier, vol. 182(C), pages 279-328.
    11. Tingjun Liu & Dan Bernhardt, 2025. "Auctioning Control and Cash‐Flow Rights Separately," Econometrica, Econometric Society, vol. 93(3), pages 859-889, May.
    12. 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.
    13. 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.
    14. 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.
    15. Li, Shengyu & Tian, Guoqiang, 2008. "Equilibria in Second Price Auctions with Information Acquisition," MPRA Paper 41210, University Library of Munich, Germany.
    16. Vitali Gretschko & Alexander Rajko, 2015. "Excess information acquisition in auctions," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 335-355, September.

    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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