IDEAS home Printed from https://ideas.repec.org/p/aah/aarhec/2003-4.html
   My bibliography  Save this paper

Buy-Out Prices in Online Auctions: Multi-Unit Demand

Author

Listed:
  • Kirkegaard, René
  • Overgaard, Per Baltzer

    (Department of Economics, University of Aarhus, Denmark)

Abstract

On many online auction sites it is now possible for a seller to augment his auction with a maximum or buy-out price. The use of this instrument has been justified in "one-shot" auctions by appeal to impatience or risk aversion. Here we offer additional justification by observing that trading on Internet auctions is not of a "one-shot" nature, but that market participants expect more transactions in the future. This has important implications when bidders desire multiple objects. Specifically, it is shown that an early seller has an incentive to introduce a buy-out price, if similar products are offered later on by other sellers. The buy- ut price will increase revenue in the current auction, but revenue in future auctions will decrease, as will the sum of revenues. In contrast, if a single seller owns multiple units, overall revenue will increase, if buyers anticipate the use of buy-out prices in the future by this seller. In both cases, an optimally chosen buy-out price introduces potential inefficiencies in the allocation.

Suggested Citation

  • Kirkegaard, René & Overgaard, Per Baltzer, "undated". "Buy-Out Prices in Online Auctions: Multi-Unit Demand," Economics Working Papers 2003-4, Department of Economics and Business Economics, Aarhus University.
    • Handle: RePEc:aah:aarhec:2003-4
    as

    Download full text from publisher

    File URL: https://repec.econ.au.dk/repec/afn/wp/03/wp03_04.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Katzman, Brett, 1999. "A Two Stage Sequential Auction with Multi-Unit Demands," Journal of Economic Theory, Elsevier, vol. 86(1), pages 77-99, May.
    2. Mark Bagnoli & Ted Bergstrom, 2006. "Log-concave probability and its applications," Studies in Economic Theory, in: Charalambos D. Aliprantis & Rosa L. Matzkin & Daniel L. McFadden & James C. Moore & Nicholas C. Yann (ed.), Rationality and Equilibrium, pages 217-241, Springer.
    3. Jane Black & David de Meza, 1992. "Systematic Price Differences Between Successive Auctionsare no Anomaly," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 1(4), pages 607-628, December.
    4. Budish, Eric B. & Takeyama, Lisa N., 2001. "Buy prices in online auctions: irrationality on the internet?," Economics Letters, Elsevier, vol. 72(3), pages 325-333, September.
    5. Paul Klemperer, 1999. "Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-286, July.
    6. Klemperer, Paul, 1999. " Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-86, July.
    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. Timothy Mathews, 2006. "Bidder Welfare In An Auction With A Buyout Option," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 595-612.
    2. Stanley Reynolds & John Wooders, 2009. "Auctions with a buy price," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 38(1), pages 9-39, January.
    3. René Kirkegaard & Per Baltzer Overgaard, 2008. "Buy‐out prices in auctions: seller competition and multi‐unit demands," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 770-789, September.
    4. Jérémie Gallien & Shobhit Gupta, 2007. "Temporary and Permanent Buyout Prices in Online Auctions," Management Science, INFORMS, vol. 53(5), pages 814-833, May.
    5. Hai Yu & Chuangyin Dang & Shou-Yang Wang, 2006. "Game Theoretical Analysis Of Buy-It-Now Price Auctions," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 557-581.
    6. Olarte, Rafael & Haghani, Ali, 2018. "Introducing and testing a game-theoretic model for a lottery-based metering system in Minneapolis, United States," Transport Policy, Elsevier, vol. 62(C), pages 63-78.
    7. Axel Ockenfels & David Reiley & Abdolkarim Sadrieh, 2006. "Online Auctions," NBER Working Papers 12785, National Bureau of Economic Research, Inc.

    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. Axel Ockenfels & David Reiley & Abdolkarim Sadrieh, 2006. "Online Auctions," NBER Working Papers 12785, National Bureau of Economic Research, Inc.
    2. Zhang, Hanzhe, 2021. "The optimal sequence of prices and auctions," European Economic Review, Elsevier, vol. 133(C).
    3. 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.
    4. René Caldentey & Gustavo Vulcano, 2007. "Online Auction and List Price Revenue Management," Management Science, INFORMS, vol. 53(5), pages 795-813, May.
    5. Jiang, Zhong-Zhong & Fang, Shu-Cherng & Fan, Zhi-Ping & Wang, Dingwei, 2013. "Selecting optimal selling format of a product in B2C online auctions with boundedly rational customers," European Journal of Operational Research, Elsevier, vol. 226(1), pages 139-153.
    6. Leonid Polishchuk & Alexander Tonis, 2013. "Endogenous contest success functions: a mechanism design approach," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(1), pages 271-297, January.
    7. Gustavo Vulcano & Garrett van Ryzin & Costis Maglaras, 2002. "Optimal Dynamic Auctions for Revenue Management," Management Science, INFORMS, vol. 48(11), pages 1388-1407, November.
    8. Hagedorn, Marcus, 2009. "The value of information for auctioneers," Journal of Economic Theory, Elsevier, vol. 144(5), pages 2197-2208, September.
    9. Pitchik, Carolyn, 2009. "Budget-constrained sequential auctions with incomplete information," Games and Economic Behavior, Elsevier, vol. 66(2), pages 928-949, July.
    10. Andrea Canidio, 2023. "Auctions with Tokens: Monetary Policy as a Mechanism Design Choice," Papers 2301.13794, arXiv.org, revised Aug 2023.
    11. Vidyanand Choudhary & Shivendu Shivendu, 2017. "Targeted Couponing in Online Auctions," Information Systems Research, INFORMS, vol. 28(3), pages 490-510, September.
    12. Garrett van Ryzin & Gustavo Vulcano, 2004. "Optimal Auctioning and Ordering in an Infinite Horizon Inventory-Pricing System," Operations Research, INFORMS, vol. 52(3), pages 346-367, June.
    13. Jérémie Gallien, 2006. "Dynamic Mechanism Design for Online Commerce," Operations Research, INFORMS, vol. 54(2), pages 291-310, April.
    14. Edieal J. Pinker & Abraham Seidmann & Yaniv Vakrat, 2003. "Managing Online Auctions: Current Business and Research Issues," Management Science, INFORMS, vol. 49(11), pages 1457-1484, November.
    15. Shunda, Nicholas, 2009. "Auctions with a buy price: The case of reference-dependent preferences," Games and Economic Behavior, Elsevier, vol. 67(2), pages 645-664, November.
    16. Roberto Burguet, 2000. "Auction theory: a guided tour," Investigaciones Economicas, Fundación SEPI, vol. 24(1), pages 3-50, January.
    17. Ivanova-Stenzel, Radosveta & Kröger, Sabine, 2008. "Price formation in a sequential selling mechanism," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 832-843, September.
    18. Wang, Dazhong & Xu, Xinyi, 2022. "Optimal equity auction with interdependent valuations," Journal of Mathematical Economics, Elsevier, vol. 100(C).
    19. Doni Nicola & Menicucci Domenico, 2013. "Revenue Comparison in Asymmetric Auctions with Discrete Valuations," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 13(1), pages 429-461, September.
    20. Sonin Konstantin, 2004. "Private interest in public tenders: no revenue, no efficiency and no social benefits," EERC Working Paper Series 00-111e, EERC Research Network, Russia and CIS.

    More about this item

    Keywords

    Sequential Auctions; Multi-Unit Demand; Buy-Out Prices;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • 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:aah:aarhec:2003-4. 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: http://www.econ.au.dk/afn/ .

    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.