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An Experimental Comparison of Linear and Nonlinear Price Combinatorial Auctions

Author

Listed:
  • Tobias Scheffel

    (Internet-Based Information Systems, Department of Informatics, Technische Universität München, 85478 München, Germany)

  • Alexander Pikovsky

    (Internet-Based Information Systems, Department of Informatics, Technische Universität München, 85478 München, Germany)

  • Martin Bichler

    (Internet-Based Information Systems, Department of Informatics, Technische Universität München, 85478 München, Germany)

  • Kemal Guler

    (Hewlett-Packard Laboratories, Palo Alto, California 94304)

Abstract

Combinatorial auctions are used for the efficient allocation of heterogeneous goods and services. They require appropriate software platforms that provide automated winner determination and decision support for bidders. Several promising ascending combinatorial auction formats have been developed throughout the past few years based on primal-dual algorithms and linear programming theory. The ascending proxy auction and iBundle result in Vickrey payoffs when the coalitional value function satisfies buyer submodularity conditions and bidders bid their best responses. These auction formats are based on nonlinear and personalized ask prices. In addition, there are a number of designs with linear prices that have performed well in experiments, the approximate linear prices auction, and the combinatorial clock auction. In this paper, we provide the results of lab experiments that tested these different auction formats in the same setting. We analyze aggregate metrics such as efficiency and auctioneer revenue for small- and medium-sized value models. In addition, we provide a detailed analysis not only of aggregate performance metrics but also of individual bidding behaviour under alternative combinatorial auction formats.

Suggested Citation

  • Tobias Scheffel & Alexander Pikovsky & Martin Bichler & Kemal Guler, 2011. "An Experimental Comparison of Linear and Nonlinear Price Combinatorial Auctions," Information Systems Research, INFORMS, vol. 22(2), pages 346-368, June.
  • Handle: RePEc:inm:orisre:v:22:y:2011:i:2:p:346-368
    DOI: 10.1287/isre.1090.0267
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    5. Pallab Sanyal, 2016. "Characteristics and Economic Consequences of Jump Bids in Combinatorial Auctions," Information Systems Research, INFORMS, vol. 27(2), pages 347-364, June.
    6. Dirk Briskorn & Kurt Jørnsten & Jenny Nossack, 2016. "Pricing combinatorial auctions by a set of linear price vectors," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 1043-1070, October.
    7. Martin Bichler & Pasha Shabalin & Georg Ziegler, 2013. "Efficiency with Linear Prices? A Game-Theoretical and Computational Analysis of the Combinatorial Clock Auction," Information Systems Research, INFORMS, vol. 24(2), pages 394-417, June.
    8. Kemal Guler & Martin Bichler & Ioannis Petrakis, 2016. "Ascending Combinatorial Auctions with Risk Averse Bidders," Group Decision and Negotiation, Springer, vol. 25(3), pages 609-639, May.
    9. Martin Bichler & Zhen Hao & Gediminas Adomavicius, 2017. "Coalition-Based Pricing in Ascending Combinatorial Auctions," Information Systems Research, INFORMS, vol. 28(1), pages 159-179, March.
    10. Vangerven, Bart & Goossens, Dries R. & Spieksma, Frits C.R., 2017. "Winner determination in geometrical combinatorial auctions," European Journal of Operational Research, Elsevier, vol. 258(1), pages 254-263.
    11. Martin Bichler & Vladimir Fux & Jacob Goeree, 2018. "A Matter of Equality: Linear Pricing in Combinatorial Exchanges," Information Systems Research, INFORMS, vol. 29(4), pages 1024-1043, December.
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    14. Gediminas Adomavicius & Alok Gupta & Mochen Yang, 2022. "Bidder Support in Multi-item Multi-unit Continuous Combinatorial Auctions: A Unifying Theoretical Framework," Information Systems Research, INFORMS, vol. 33(4), pages 1174-1195, December.
    15. Bart Vangerven & Dries R. Goossens & Frits C. R. Spieksma, 2021. "Using Feedback to Mitigate Coordination and Threshold Problems in Iterative Combinatorial Auctions," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(2), pages 113-127, April.
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