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Auctions in Markets: Common Outside Options and the Continuation Value Effect

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  • Stephan Lauermann
  • Gábor Virág

Abstract

In this paper, we study auctions with outside options provided by future market interaction focusing on the revenue effects of some information revelation policies. We show that auctions with less information revelation may yield higher revenues. In particular, we show that it is never optimal for the auctioneer to reveal information after the auction. Moreover, it is also not optimal to reveal information before the auction unless bidders already have precise information on their own. Our model provides a novel explanation for the prevalence of opaque trading mechanisms, and it offers insights into information sharing in dynamic models of trade. (JEL D44, D83)

Suggested Citation

  • Stephan Lauermann & Gábor Virág, 2012. "Auctions in Markets: Common Outside Options and the Continuation Value Effect," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 107-130, November.
    • Handle: RePEc:aea:aejmic:v:4:y:2012:i:4:p:107-30
    Note: DOI: 10.1257/mic.4.4.107
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    References listed on IDEAS

    as
    1. Paul Schultz, 2001. "Corporate Bond Trading Costs: A Peek Behind the Curtain," Journal of Finance, American Finance Association, vol. 56(2), pages 677-698, April.
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    4. Satterthwaite, Mark & Shneyerov, Artyom, 2008. "Convergence to perfect competition of a dynamic matching and bargaining market with two-sided incomplete information and exogenous exit rate," Games and Economic Behavior, Elsevier, vol. 63(2), pages 435-467, July.
    5. Motty Perry & Philip J. Reny, 1999. "On The Failure of the Linkage Principle in Multi-Unit Auctions," Econometrica, Econometric Society, vol. 67(4), pages 895-900, July.
    6. Mares, Vlad & Harstad, Ronald M., 2003. "Private information revelation in common-value auctions," Journal of Economic Theory, Elsevier, vol. 109(2), pages 264-282, April.
    7. Darrell Duffie, 2012. "Dark Markets: Asset Pricing and Information Transmission in Over-the-Counter Markets," Economics Books, Princeton University Press, edition 1, number 9623.
    8. Wolfram Merzyn & Gabor Virag & Stephan Lauermann, 2010. "Aggregate uncertainty and learning in a search model," 2010 Meeting Papers 1235, Society for Economic Dynamics.
    9. Simon Board, 2009. "Revealing information in auctions: the allocation effect," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 38(1), pages 125-135, January.
    10. Hendrik Bessembinder & William Maxwell, 2008. "Markets: Transparency and the Corporate Bond Market," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 217-234, Spring.
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    Cited by:

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    2. Alp E. Atakan & Mehmet Ekmekci, 2021. "Market Selection and the Information Content of Prices," Econometrica, Econometric Society, vol. 89(5), pages 2049-2079, September.
    3. Piotr Dworczak, 2020. "Mechanism Design With Aftermarkets: Cutoff Mechanisms," Econometrica, Econometric Society, vol. 88(6), pages 2629-2661, November.
    4. Wataru Tamura, 2013. "Auction Platform Design and the Linkage Principle," CARF F-Series CARF-F-330, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    5. Kesten, Onur & Kurino, Morimitsu, 2019. "Strategy-proof improvements upon deferred acceptance: A maximal domain for possibility," Games and Economic Behavior, Elsevier, vol. 117(C), pages 120-143.
    6. Wataru Tamura, 2016. "Auction Platform Design and the Linkage Principle," Journal of Industrial Economics, Wiley Blackwell, vol. 64(2), pages 201-225, June.

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    More about this item

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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