Bayesian and Randomized Clock Auctions
Michal Feldman, Vasilis Gkatzelis, Nick Gravin, Daniel Schoepflin

TL;DR
This paper explores how prior information or randomization can improve the performance of clock auctions in single-parameter mechanism design, achieving better social welfare approximations under various information scenarios.
Contribution
It introduces new clock auction mechanisms that attain an $O(\log\log k)$ approximation across different information models, including full, partial, and no prior knowledge.
Findings
Deterministic clock auctions cannot guarantee bounded approximation without prior info.
Randomized clock auctions achieve $O(\log\log k)$ approximation with no prior info.
Simple deterministic auctions perform well with full prior knowledge.
Abstract
In a single-parameter mechanism design problem, a provider is looking to sell a service to a group of potential buyers. Each buyer has a private value for receiving the service and a feasibility constraint restricts which sets of buyers can be served simultaneously. Recent work in economics introduced clock auctions as a superior class of auctions for this problem, due to their transparency, simplicity, and strong incentive guarantees. Subsequent work focused on evaluating the social welfare approximation guarantees of these auctions, leading to strong impossibility results: in the absence of prior information regarding the buyers' values, no deterministic clock auction can achieve a bounded approximation, even for simple feasibility constraints with only two maximal feasible sets. We show that these negative results can be circumvented by using prior information or by…
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Taxonomy
TopicsAuction Theory and Applications · Experimental Behavioral Economics Studies · Economic and Environmental Valuation
