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Characterizing Truthful Market Design

  • Conference paper
Internet and Network Economics (WINE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4858))

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Abstract

This paper characterizes the family of truthful double-sided auctions. Despite the importance of double-sided auctions to market design, to date no characterization of truthful double-sided auctions was made. This paper characterizes truthful mechanisms for double-sided auctions by generalizing Roberts’ classic result [18], to show that truthful double-sided auctions must ”almost” be affine maximizers.

Our main result of characterizing double-sided auctions required the creation of a new set of tools, reductions that preserve economic properties. This paper utilizes two such reductions; a truth-preserving reduction and a non-affine preserving reduction. The truth-preserving reduction is used to reduce the double-sided auction to a special case of a combinatorial auction to make use of the impossibility result proved in [11]. Intuitively, our proof shows that truthful double-sided auctions are as hard to design as truthful combinatorial auctions.

Two important concepts are developed in addition to the main result. First, the form of reduction used in this paper is of independent interest as it provides a means for comparing mechanism design problems by design difficulty. Second, we define the notion of extension of payments; which given a set of payments for some players finds payments for the remaining players. The extension payments maintain the truthful and affine maximization properties.

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Xiaotie Deng Fan Chung Graham

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Gonen, M., Gonen, R., Pavlov, E. (2007). Characterizing Truthful Market Design. In: Deng, X., Graham, F.C. (eds) Internet and Network Economics. WINE 2007. Lecture Notes in Computer Science, vol 4858. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77105-0_65

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  • DOI: https://doi.org/10.1007/978-3-540-77105-0_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77104-3

  • Online ISBN: 978-3-540-77105-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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