IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/41214.html

Endogenous Information Acquisition on Opponents' Valuations in Multidimensional First Price Auctions

Author

Listed:
  • Tian, Guoqiang
  • Xiao, Mingjun

Abstract

This paper investigates bidder's covert behavior of endogenous information acquisition on her opponents' valuations in first price auction model with independent private values. Such an information acquisition setting leads to bidimensional type space and bidimensional strategy space. We consider two different specifications of the environments: the ex ante information acquisition setting and the interim information acquisition setting. In equilibria the expected payoffs of the bidder under these specifications could exceed the counterpart payoffs of the corresponding standard sealed-bid auctions without information acquisition as long as the cost is small, but the auctioneer has lower payoffs in these models than those of the standard ones. Moreover, the incurred information cost becomes the deadweight loss, resulting in ine±cient outcomes.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:41214
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/41214/1/MPRA_paper_41214.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hausch, Donald B & Li, Lode, 1993. "A Common Value Auction Model with Endogenous Entry and Information Acquisition," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(2), pages 315-334, April.
    2. Guzman, Rolando M & Kolstad, Charles D., 1997. "Auction Equilibrium with Costly Information Acquisition," University of California at Santa Barbara, Economics Working Paper Series qt4w0787ng, Department of Economics, UC Santa Barbara.
    3. Eric Maskin & John Riley, 2000. "Equilibrium in Sealed High Bid Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 439-454.
    4. Nicola Persico, 2000. "Information Acquisition in Auctions," Econometrica, Econometric Society, vol. 68(1), pages 135-148, January.
    5. Paul Klemperer, 2002. "What Really Matters in Auction Design," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 169-189, Winter.
    6. Milgrom, Paul R, 1981. "Rational Expectations, Information Acquisition, and Competitive Bidding," Econometrica, Econometric Society, vol. 49(4), pages 921-943, June.
    7. Hernando-Veciana, Ángel, 2009. "Information acquisition in auctions: Sealed bids vs. open bids," Games and Economic Behavior, Elsevier, vol. 65(2), pages 372-405, March.
    8. Juan José Ganuza, 2003. "Ignorance promotes competition: An auction model with endogenous private valuations," Economics Working Papers 671, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Tian, Guoqiang, 1994. "On informational efficiency and incentive aspects of generalized ratio equilibria," Journal of Mathematical Economics, Elsevier, vol. 23(4), pages 323-337, July.
    10. Mount, Kenneth & Reiter, Stanley, 1974. "The informational size of message spaces," Journal of Economic Theory, Elsevier, vol. 8(2), pages 161-192, June.
    11. Paul Klemperer, 2004. "Auctions: Theory and Practice," Online economics textbooks, SUNY-Oswego, Department of Economics, number auction1.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Moshe Babaioff & Nicole Immorlica & Yingkai Li & Brendan Lucier, 2021. "Making Auctions Robust to Aftermarkets," Papers 2107.05853, arXiv.org, revised Nov 2022.
    2. Kim, Jinwoo & Koh, Youngwoo, 2020. "Learning rivals' information in interdependent value auctions," Journal of Economic Theory, Elsevier, vol. 187(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vitali Gretschko & Alexander Rajko, 2015. "Excess information acquisition in auctions," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 335-355, September.
    2. Li, Shengyu & Tian, Guoqiang, 2008. "Equilibria in Second Price Auctions with Information Acquisition," MPRA Paper 41210, University Library of Munich, Germany.
    3. Luciano De Castro, 2010. "Affiliation, Equilibrium Existence and Revenue Ranking of Auctions," Discussion Papers 1530, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    4. Kaplan, Todd R. & Zamir, Shmuel, 2015. "Advances in Auctions," Handbook of Game Theory with Economic Applications,, Elsevier.
    5. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    6. Hanming Fang & Stephen Morris, 2012. "Multidimensional Private Value Auctions," World Scientific Book Chapters, in: Robust Mechanism Design The Role of Private Information and Higher Order Beliefs, chapter 9, pages 319-356, World Scientific Publishing Co. Pte. Ltd..
    7. Ronald M. Harstad, 2007. "Does a Seller Really Want Another Bidder?," Working Papers 0711, Department of Economics, University of Missouri.
    8. Nobel Prize Committee, 2020. "Improvements to auction theory and inventions of new auction formats," Nobel Prize in Economics documents 2020-2, Nobel Prize Committee.
    9. Olivier Compte & Philippe Jehiel, 2007. "Auctions and information acquisition: sealed bid or dynamic formats?," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 355-372, June.
    10. Luciano I. de Castro, 2009. "Affiliation and Dependence in Economic Models," Discussion Papers 1479, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    11. Gretschko, Vitali & Simon, Jasmina, 2024. "An efficient dynamic mechanism with covert information acquisition," ZEW Discussion Papers 24-081, ZEW - Leibniz Centre for European Economic Research.
    12. Cantillon, Estelle, 2008. "The effect of bidders' asymmetries on expected revenue in auctions," Games and Economic Behavior, Elsevier, vol. 62(1), pages 1-25, January.
    13. Vitali Gretschko & Achim Wambach, 2014. "Information acquisition during a descending auction," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 55(3), pages 731-751, April.
    14. Mares, Vlad & Swinkels, Jeroen M., 2014. "On the analysis of asymmetric first price auctions," Journal of Economic Theory, Elsevier, vol. 152(C), pages 1-40.
    15. Elbittar, Alexander, 2009. "Impact of valuation ranking information on bidding in first-price auctions: A laboratory study," Journal of Economic Behavior & Organization, Elsevier, vol. 69(1), pages 75-85, January.
    16. Kim, Jinwoo & Koh, Youngwoo, 2020. "Learning rivals' information in interdependent value auctions," Journal of Economic Theory, Elsevier, vol. 187(C).
    17. Miettinen, Paavo, 2017. "Information acquisition during a descending price auction with asymmetrically informed players," Research Discussion Papers 5/2017, Bank of Finland.
    18. Tian, Guoqiang, 2004. "On the Informational Requirements of Decentralized Pareto-Satisfactory Mechanisms in Economies with Increasing Returns," MPRA Paper 41226, University Library of Munich, Germany, revised Oct 2006.
    19. Obara Ichiro, 2008. "The Full Surplus Extraction Theorem with Hidden Actions," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-28, March.
    20. Hu, Audrey & Offerman, Theo & Zou, Liang, 2011. "Premium auctions and risk preferences," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2420-2439.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:41214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.