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5 - Combinatorial Auction Design

from Part II - The Combinatorial Clock Auction Designs

Published online by Cambridge University Press:  26 October 2017

David P. Porter
Affiliation:
Economic Science Institute, Chapman University
Stephen J. Rassenti
Affiliation:
Economic Science Institute, Chapman University
Anil Roopnarine
Affiliation:
Cybernomics Inc
Vernon L. Smith
Affiliation:
Economic Science Institute, Chapman University
Martin Bichler
Affiliation:
Technische Universität München
Jacob K. Goeree
Affiliation:
University of New South Wales, Sydney
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Summary

Introduction

Combinatorial auctions enhance our ability to efficiently allocate multiple resources in complex economic environments. They explicitly allow buyers and sellers of goods and services to bid on packages of items with related values or costs. For example, “I bid $10 to buy 1 unit of item A and 2 units of item B, but I won't pay anything unless I get everything.” They also allow buyers, sellers and the auctioneer to impose logical constraints that limit the feasible set of auction allocations. For example, “I bid $12 to buy 2 units of item C OR $15 to buy 3 units of item D, but I don't want both.” Finally, they can handle functional relationships amongst bids or allocations, such as budget constraints or aggregation limits that allow many bids to be connected together. For example, “I won't spend more than a total of $35 on all my bids” or “This auction will allocate no more than a total of 7 units of items F, G and H.”

There are several reasons to prefer to have the bidding message space expanded beyond the simple space used for traditional single commodity auctions. As Bykowsky et al. (2000) point out, when values have strong complementarities, there is a danger of ‘financial exposure’ that results in losses to bidders if combinatorial bidding is not allowed. For example, in the case of complementary items such as airport take-off and landing times, the ability to reduce uncertainty to the bidder by allowing him to precisely declare his object of value, a cycle of slots for an entire daily flight pattern, is obvious: one component slot not acquired ruins the value of the flight cycle. In the same situation substitution possibilities would also be important to consider: if flight cycle A is not won, cycle B may be an appropriate though less valuable substitute for the crew and equipment available. Allocation inefficiencies due to financial exposure in noncombinatorial auctions have been frequently demonstrated in experiments beginning with Rassenti et al. (1982) (see also Porter (1999), Banks et al. (1989), Ledyard et al. (2002) and Kwasnika et al. (1998)).

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Publisher: Cambridge University Press
Print publication year: 2017

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References

Banks, J., Ledyard, J., Porter, D., 1989. Allocating uncertain and unresponsive resources: an experimental approach. Rand Journal of Economics 20, 1–25.Google Scholar
Bykowsky, M., Cull, R., Ledyard, J., 2000. Mutually destructive bidding: the Federal Communications Commission auction design problem. Journal of Regulatory Economics 17(3), 205–228.Google Scholar
CRA –Charles River and Associates Inc. and Market Design Inc., 1998. Report 2: Simultaneous ascending auctions with package bidding. Charles River and Associates No. 1351-00.
Isaac, M. James, D. 2000. Robustness of the incentive compatible combinatorial auction ExperimentalEconomics 3(1): 31–53.Google Scholar
Kwasnica, A., John O., Ledyard, David, Porter and Christina, DeMartini, 1999 “A New and Improved Design for Multi-Object Iterative Auctions,” Caltech Social Science Working Paper No. 1054.
Ledyard, J., Olson, M., Porter, D., Swanson, J., Torma, D. 2002. “The Design of an Auction for Logistics Services,” Informs.
McCabe, K., Rassenti, S., Smith, V., 1988. Testing Vickrey's and other simultaneous multiple unit versions of the English auction, revised 1989. In: R. M., Isaac (Ed). Research in ExperimentalEconomics, Vol. 4, 1991. Greenwich, CT: JAI Press.
Porter, D., 1999. An experimental examination of bid withdrawal in a multi-object auction,” Reviewof Economic Design.
Rassenti, S., Smith, V., Bulfin, R., 1982. A combinatorial auction mechanism for airport time slot allocation. Bell Journal of Economics 13, 402–417.Google Scholar
Rothkopf, M. Pekec, A., Harstad, R. 1998. Computationally manageable combinational auctions Management Science Volume 44, Issue 8.Google Scholar

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