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Slow Dutch Auctions

Author

Listed:
  • Octavian Carare

    (School of Management, University of Texas at Dallas, Richardson, Texas 75083-0688)

  • Michael Rothkopf

    (MSIS Department and RUTCOR, Rutgers University, 640 Bartholomew Road, Piscataway, New Jersey 08854-8003)

Abstract

Theorists have long believed that Dutch auctions are strategically equivalent to standard sealed bidding. However, in recent controlled experiments with actual Dutch and sealed-bid Internet auctions of collectibles, the Dutch auctions produced significantly more revenue. We believe that this happened, in part, because the Internet Dutch auctions are a slow process in which bidders incur incremental transaction costs if they delay bidding. This paper presents models of slow Dutch auctions that include these costs and explain this belief. We first present a decision-theoretic model of a slow Dutch auction. While simple, the decision-theoretic model is fairly general and provides the basic intuition underlying our revenue results. We then develop a game-theoretic model of a slow Dutch auction. We derive two symmetric, payoff-equivalent equilibria of the game in the absence of a cost of return and then consider the more general case of costly return. When the cost of return is in an appropriate range, the seller's expected revenue is an increasing function of that cost.

Suggested Citation

  • Octavian Carare & Michael Rothkopf, 2005. "Slow Dutch Auctions," Management Science, INFORMS, vol. 51(3), pages 365-373, March.
  • Handle: RePEc:inm:ormnsc:v:51:y:2005:i:3:p:365-373
    DOI: 10.1287/mnsc.1040.0328
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    References listed on IDEAS

    as
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    Citations

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    Cited by:

    1. Rasmusen Eric Bennett, 2006. "Strategic Implications of Uncertainty over One's Own Private Value in Auctions," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 6(1), pages 1-24, November.
    2. Amar Cheema & Peter Leszczyc & Rajesh Bagchi & Richard Bagozzi & James Cox & Utpal Dholakia & Eric Greenleaf & Amit Pazgal & Michael Rothkopf & Michael Shen & Shyam Sunder & Robert Zeithammer, 2005. "Economics, Psychology, and Social Dynamics of Consumer Bidding in Auctions," Marketing Letters, Springer, vol. 16(3), pages 401-413, December.
    3. Fugger, Nicolas & Gillen, Philippe & Rasch, Alexander & Zeppenfeld, Christopher, 2016. "Preferences and Decision Support in Competitive Bidding," VfS Annual Conference 2016 (Augsburg): Demographic Change 145849, Verein für Socialpolitik / German Economic Association.
    4. 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.
    5. Popkowski Leszczyc, Peter T.L. & Qiu, Chun & He, Yongfu, 2009. "Empirical Testing of the Reference-Price Effect of Buy-Now Prices in Internet Auctions," Journal of Retailing, Elsevier, vol. 85(2), pages 211-221.
    6. G. Anandalingam & Robert W. Day & S. Raghavan, 2005. "The Landscape of Electronic Market Design," Management Science, INFORMS, vol. 51(3), pages 316-327, March.
    7. Artyom Shneyerov, 2014. "An optimal slow Dutch auction," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 57(3), pages 577-602, November.
    8. Wedad J. Elmaghraby & Elena Katok & Natalia Santamaría, 2012. "A Laboratory Investigation of Rank Feedback in Procurement Auctions," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 128-144, January.
    9. Li, Zhen & Kuo, Ching-Chung, 2011. "Revenue-maximizing Dutch auctions with discrete bid levels," European Journal of Operational Research, Elsevier, vol. 215(3), pages 721-729, December.
    10. Amar Cheema & Dipankar Chakravarti & Atanu R. Sinha, 2012. "Bidding Behavior in Descending and Ascending Auctions," Marketing Science, INFORMS, vol. 31(5), pages 779-800, September.
    11. Wang, Hong, 2017. "Information acquisition versus information manipulation in multi-period procurement markets," Information Economics and Policy, Elsevier, vol. 40(C), pages 48-59.
    12. Adam, Marc T.P. & Krämer, Jan & Müller, Marius B., 2015. "Auction Fever! How Time Pressure and Social Competition Affect Bidders’ Arousal and Bids in Retail Auctions," Journal of Retailing, Elsevier, vol. 91(3), pages 468-485.
    13. Ronald M. Harstad & Aleksandar Saša Pekeč, 2008. "Relevance to Practice and Auction Theory: A Memorial Essay for Michael Rothkopf," Interfaces, INFORMS, vol. 38(5), pages 367-380, October.
    14. Axel Ockenfels & David Reiley & Abdolkarim Sadrieh, 2006. "Online Auctions," NBER Working Papers 12785, National Bureau of Economic Research, Inc.
    15. Balzer, Benjamin & Rosato, Antonio & von Wangenheim, Jonas, 2022. "Dutch vs. first-price auctions with expectations-based loss-averse bidders," Journal of Economic Theory, Elsevier, vol. 205(C).
    16. Przemysław Kaszyński & Aleksandra Komorowska & Krzysztof Zamasz & Grzegorz Kinelski & Jacek Kamiński, 2021. "Capacity Market and (the Lack of) New Investments: Evidence from Poland," Energies, MDPI, vol. 14(23), pages 1-17, November.

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    Keywords

    Dutch auction; transaction costs;

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