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Auctions, Actions, and the Failure of Information Aggregation

Author

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  • Alp E. Atakan
  • Mehmet Ekmekci

Abstract

We study a uniform-price auction where k identical common-value objects are allocated amongst z > k bidders who have imperfect signals about the state of the world. The common valuation is determined jointly by the state and an action that is chosen after winning an object. In large auctions, there are symmetric equilibria where the auction price aggregates no information. Moreover, market statistics other than price (e.g., the amount of rationing or the bid distribution) contain extra information about the state. In contrast, in standard large auctions without actions, the price aggregates all relevant information.

Suggested Citation

  • Alp E. Atakan & Mehmet Ekmekci, 2014. "Auctions, Actions, and the Failure of Information Aggregation," American Economic Review, American Economic Association, vol. 104(7), pages 2014-2048, July.
  • Handle: RePEc:aea:aecrev:v:104:y:2014:i:7:p:2014-48
    Note: DOI: 10.1257/aer.104.7.2014
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    References listed on IDEAS

    as
    1. Michael Ostrovsky, 2012. "Information Aggregation in Dynamic Markets With Strategic Traders," Econometrica, Econometric Society, vol. 80(6), pages 2595-2647, November.
    2. Stephan Lauermann & Asher Wolinsky, 2016. "Search With Adverse Selection," Econometrica, Econometric Society, vol. 84, pages 243-315, January.
    3. Stephan Lauermann, 2013. "Dynamic Matching and Bargaining Games: A General Approach," American Economic Review, American Economic Association, vol. 103(2), pages 663-689, April.
    4. Wolfgang Pesendorfer & Jeroen M. Swinkels, 1997. "The Loser's Curse and Information Aggregation in Common Value Auctions," Econometrica, Econometric Society, vol. 65(6), pages 1247-1282, November.
    5. Hong, Han & Shum, Matthew, 2004. "Rates of information aggregation in common value auctions," Journal of Economic Theory, Elsevier, vol. 116(1), pages 1-40, May.
    6. Marzena Rostek & Marek Weretka, 2012. "Price Inference in Small Markets," Econometrica, Econometric Society, vol. 80(2), pages 687-711, March.
    7. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
    8. Philip J Reny & Motty Perry, 2006. "Toward a Strategic Foundation for Rational Expectations Equilibrium," Econometrica, Econometric Society, vol. 74(5), pages 1231-1269, September.
    9. Bond, Philip & Eraslan, Hülya, 2010. "Information-based trade," Journal of Economic Theory, Elsevier, vol. 145(5), pages 1675-1703, September.
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    Citations

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    Cited by:

    1. Aliakbari, Elmira & McKitrick, Ross, 2018. "Information aggregation in a prediction market for climate outcomes," Energy Economics, Elsevier, vol. 74(C), pages 97-106.
    2. Kerry Back & Pierre Collin‐Dufresne & Vyacheslav Fos & Tao Li & Alexander Ljungqvist, 2018. "Activism, Strategic Trading, and Liquidity," Econometrica, Econometric Society, vol. 86(4), pages 1431-1463, July.
    3. Boleslavsky, Raphael & Kelly, David L. & Taylor, Curtis R., 2017. "Selloffs, bailouts, and feedback: Can asset markets inform policy?," Journal of Economic Theory, Elsevier, vol. 169(C), pages 294-343.
    4. Sharma, Priyanka, 2017. "Is more information always better? A case in credit markets," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 269-283.
    5. Anne-Sophie V. E. Radermecker, 2019. "Artworks without names: an insight into the market for anonymous paintings," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(3), pages 443-483, September.
    6. Heumann, Tibor, 2019. "An ascending auction with multi-dimensional signals," Journal of Economic Theory, Elsevier, vol. 184(C).
    7. Debin Fang & Qiyu Ren & Qian Yu, 2018. "How Elastic Demand Affects Bidding Strategy in Electricity Market: An Auction Approach," Energies, MDPI, vol. 12(1), pages 1-13, December.
    8. Montiel Olea, José Luis & Ortoleva, Pietro & Pai, Mallesh & Prat, Andrea, 2019. "Competing Models," CEPR Discussion Papers 14066, C.E.P.R. Discussion Papers.
    9. Jose Luis Montiel Olea & Pietro Ortoleva & Mallesh M Pai & Andrea Prat, 2019. "Competing Models," Papers 1907.03809, arXiv.org, revised Nov 2021.
    10. Chahrour, Ryan & Gaballo, Gaetano, 2017. "Learning from prices: amplication and business fluctuations," Working Paper Series 2053, European Central Bank.
    11. Chahrour, Ryan & Gaballo, Gaetano, 2019. "Learning from House Prices: Amplification and Business Fluctuations," CEPR Discussion Papers 14120, C.E.P.R. Discussion Papers.
    12. Anne-Sophie Radermecker, 2019. "Artworks without names: an insight into the market for anonymous paintings," ULB Institutional Repository 2013/296529, ULB -- Universite Libre de Bruxelles.

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    More about this item

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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