Bayesian and Randomized Clock Auctions

The recently introduced and highly practical class of deferred acceptance clock auctions offers a unique combination of desirable properties, including obvious strategy-proofness, unconditional winner privacy, and transparency. Early excitement around these auctions was dampened due to a result demonstrating that no deterministic and prior-free clock auction can guarantee better than a logarithmic approximation of the optimal social welfare, even in simple settings. In “Bayesian and Randomized Clock Auctions,” Feldman, Gkatzelis, Gravin, and Schoepflin reignite this excitement by demonstrating that one can achieve improved results for a wide class of instances if a clock auction can either use randomization or has access to prior information. The authors provide three different clock auctions that achieve these improved guarantees given access to different amounts of prior information, exhibiting how additional information can further simplify the auction design.

Authors

Institutions

Publication Details

Journal
Operations Research
Published
2025-02-06
DOI
https://doi.org/10.1287/opre.2022.0421
Primary Topic
Auction Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bayesian and Randomized Clock Auctions

Nick Gravin, Daniel Schoepflin, Vasilis Gkatzelis, Michal Feldman
Operations Research
Auction Theory and Applications
article

Bayesian and Randomized Clock Auctions

Nick Gravin, Daniel Schoepflin, Vasilis Gkatzelis, Michal Feldman
article en

Abstract

The recently introduced and highly practical class of deferred acceptance clock auctions offers a unique combination of desirable properties, including obvious strategy-proofness, unconditional winner privacy, and transparency. Early excitement around these auctions was dampened due to a result demonstrating that no deterministic and prior-free clock auction can guarantee better than a logarithmic approximation of the optimal social welfare, even in simple settings. In “Bayesian and Randomized Clock Auctions,” Feldman, Gkatzelis, Gravin, and Schoepflin reignite this excitement by demonstrating that one can achieve improved results for a wide class of instances if a clock auction can either use randomization or has access to prior information. The authors provide three different clock auctions that achieve these improved guarantees given access to different amounts of prior information, exhibiting how additional information can further simplify the auction design.

Operations ResearchVol. 73(4)
Rutgers, The State University of New Jersey (US), Tel Aviv University (IL), Shanghai University of Finance and Economics (CN), Center for Discrete Mathematics and Theoretical Computer Science (US), Microsoft (Israel) (IL), Drexel University (US)
Reduced inequalities
Openalex Percentile: Top 98%
Auction Theory and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Bayesian and Randomized Clock Auctions — Nick Gravin, Daniel Schoepflin, et al. · Operations Research (2025) | TGRS Research Map | TGRS