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Fast Convergence in the Double Oral Auction

Published: 22 December 2017 Publication History

Abstract

A classical trading experiment consists of a set of unit demand buyers and unit supply sellers with identical items. Each agent’s value or opportunity cost for the item is his private information, and preferences are quasilinear. Trade between agents employs a double oral auction (DOA) in which both buyers and sellers call out bids or offers that an auctioneer recognizes. Transactions resulting from accepted bids and offers are recorded. This continues until there are no more acceptable bids or offers. Remarkably, the experiment consistently terminates in a Walrasian price. The main result of this article is a mechanism in the spirit of the DOA that converges to a Walrasian equilibrium in a polynomial number of steps, thus providing a theoretical basis for the empirical phenomenon described previously. It is well known that computation of a Walrasian equilibrium for this market corresponds to solving a maximum weight bipartite matching problem. The uncoordinated but mildly rational responses of agents thus solve in a distributed fashion a maximum weight bipartite matching problem that is encoded by their private valuations. We show, furthermore, that every Walrasian equilibrium is reachable by some sequence of responses. This is in contrast to the well-known auction algorithms for this problem that only allow one side to make offers and thus essentially choose an equilibrium that maximizes the surplus for the side making offers. Our results extend to the setting where not every agent pair is allowed to trade with each other.

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Published In

cover image ACM Transactions on Economics and Computation
ACM Transactions on Economics and Computation  Volume 5, Issue 4
Special Issue on Wine'15
November 2017
146 pages
ISSN:2167-8375
EISSN:2167-8383
DOI:10.1145/3174276
Issue’s Table of Contents
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 December 2017
Accepted: 01 April 2017
Revised: 01 December 2016
Received: 01 July 2016
Published in TEAC Volume 5, Issue 4

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