IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/22716.html
   My bibliography  Save this paper

Bidding Dynamics in Auctions

Author

Listed:
  • Hugo Hopenhayn
  • Maryam Saeedi

Abstract

This paper studies bidding dynamics where values and bidding opportunities follow an unrestricted joint Markov process, independent across agents. Bids cannot be retracted, as is frequently the case in auctions. Our main methodological contribution is that we construct a mapping from this general stochastic process into a distribution of values that is independent of the type of auction considered. The equilibria of a static auction with this distribution of values is used to characterize the equilibria of the dynamic auction, making this general class very tractable. As a result of the option of future rebidding, early bids are shaded and under mild conditions increase toward the end of the auction. Our results are consistent with repeated bidding and skewness of the time distribution of winning bids, two puzzling observations in dynamic auctions. As an application, we estimate the model by matching moments from eBay auctions.

Suggested Citation

  • Hugo Hopenhayn & Maryam Saeedi, 2016. "Bidding Dynamics in Auctions," NBER Working Papers 22716, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22716
    Note: IO
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w22716.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Chernozhukov, Victor & Hong, Han, 2003. "An MCMC approach to classical estimation," Journal of Econometrics, Elsevier, vol. 115(2), pages 293-346, August.
    3. Susan Athey & Philip A. Haile, 2002. "Identification of Standard Auction Models," Econometrica, Econometric Society, vol. 70(6), pages 2107-2140, November.
    4. Tilman Börgers & Christian Dustmann, 2005. "Strange Bids: Bidding Behaviour in the United Kingdom's Third Generation Spectrum Auction," Economic Journal, Royal Economic Society, vol. 115(505), pages 551-578, July.
    5. Christopher Avery, 1998. "Strategic Jump Bidding in English Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 185-210.
    6. Milton Harris & Bengt Holmstrom, 1982. "A Theory of Wage Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(3), pages 315-333.
    7. Attila Ambrus & James Burns & Yuhta Ishii, 2012. "Gradual Bidding in eBay-Like Auctions," Working Papers 12-12, Duke University, Department of Economics.
    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. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," Working Papers tecipa-706, University of Toronto, Department of Economics.
    2. Freeman, David J. & Kimbrough, Erik O. & Reiss, J. Philipp, 2020. "Opportunity cost, inattention and the bidder’s curse," European Economic Review, Elsevier, vol. 129(C).
    3. Sofia Moroni, 2019. "Existence of trembling hand perfect and sequential equilibrium in games with stochastic timing of moves," Working Paper 6757, Department of Economics, University of Pittsburgh.
    4. Yuichiro Kamada & Michihiro Kandori, 2020. "Revision Games," Econometrica, Econometric Society, vol. 88(4), pages 1599-1630, July.
    5. Sofia Moroni, 2020. "Existence of Trembling hand perfect and sequential equilibrium in Stochastic Games," Working Paper 6837, Department of Economics, University of Pittsburgh.

    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. Philip A. Haile & Elie Tamer, 2003. "Inference with an Incomplete Model of English Auctions," Journal of Political Economy, University of Chicago Press, vol. 111(1), pages 1-51, February.
    2. Barkley, Aaron & Groeger, Joachim R. & Miller, Robert A., 2021. "Bidding frictions in ascending auctions," Journal of Econometrics, Elsevier, vol. 223(2), pages 376-400.
    3. David Ettinger & Fabio Michelucci, 2016. "Creating a winner’s curse via jump bids," Review of Economic Design, Springer;Society for Economic Design, vol. 20(3), pages 173-186, September.
    4. Marmer, Vadim & Shneyerov, Artyom & Xu, Pai, 2013. "What model for entry in first-price auctions? A nonparametric approach," Journal of Econometrics, Elsevier, vol. 176(1), pages 46-58.
    5. Isaac, R. Mark & Salmon, Timothy C. & Zillante, Arthur, 2007. "A theory of jump bidding in ascending auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 62(1), pages 144-164, January.
    6. Pallab Sanyal, 2016. "Characteristics and Economic Consequences of Jump Bids in Combinatorial Auctions," Information Systems Research, INFORMS, vol. 27(2), pages 347-364, June.
    7. David Grether & David Porter & Matthew Shum, 2011. "Intimidation or Impatience? Jump Bidding in On-line Ascending Automobile Auctions," Working Papers 11-07, Chapman University, Economic Science Institute.
    8. Ricardo Gonçalves, 2008. "A communication equilibrium in English auctions with discrete bidding," Working Papers de Economia (Economics Working Papers) 042008, Católica Porto Business School, Universidade Católica Portuguesa.
    9. Vadovič, Radovan, 2017. "Bidding behavior and price search in Internet auctions," International Journal of Industrial Organization, Elsevier, vol. 54(C), pages 125-147.
    10. repec:dau:papers:123456789/15048 is not listed on IDEAS
    11. Khoroshilov, Yuri, 2015. "An experimental study of signaling in auctions with a flexible reserve price," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 124-137.
    12. Sommervoll, Dag Einar, 2020. "Jump bids in real estate auctions," Journal of Housing Economics, Elsevier, vol. 49(C).
    13. Delnoij, Joyce & Rezaei, Sarah & Rijt, Arnout van de, 2023. "Jump bidding does not reduce prices: Field-experimental evidence from online auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 308-325.
    14. Yaron Raviv, 2008. "The Role Of The Bidding Process In Price Determination: Jump Bidding In Sequential English Auctions," Economic Inquiry, Western Economic Association International, vol. 46(3), pages 325-341, July.
    15. Laurent Lamy, 2009. "Ascending auctions: some impossibility results and their resolutions with final price discounts," Working Papers halshs-00575076, HAL.
    16. Thibaut Lamadon, 2014. "Productivity Shocks, Dynamic Contracts and Income Uncertainty," 2014 Meeting Papers 243, Society for Economic Dynamics.
    17. Dodonova, Anna & Khoroshilov, Yuri, 2014. "Can preemptive bidding in takeover auctions be socially optimal? Yes it can," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 34-47.
    18. Miettinen, Paavo, 2017. "Information acquisition during a descending price auction with asymmetrically informed players," Research Discussion Papers 5/2017, Bank of Finland.
    19. Yusuke Matsuki, 2016. "A Distribution-Free Test of Monotonicity with an Application to Auctions," Working Papers e110, Tokyo Center for Economic Research.
    20. Michael Waldman, 1990. "A Signalling Explanation for Seniority Based Promotions and Other Labor Market Puzzles," UCLA Economics Working Papers 599, UCLA Department of Economics.
    21. Patrick Bajari & Jeremy Fox & Stephen Ryan, 2008. "Evaluating wireless carrier consolidation using semiparametric demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 299-338, December.

    More about this item

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:22716. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.