Theoretical Economics

Journal of the Econometric Society

Edited by: Federico Echenique • ISSN (e): 1555-7561 • ISSN (print): 1933-6837

Theoretical Economics: Nov, 2024, Volume 19, Issue 4

Auction design with data-driven misspecifications: inefficiency in private value auctions with correlation

https://doi.org/10.3982/TE5655
p. 1543-1579

Philippe Jehiel, Konrad Mierendorff

We study the existence of efficient auctions in private value settings in which some bidders form their expectations about the distribution of their competitor’s bids based on the accessible data from past similar auctions consisting of bids and ex post values. We consider steady-states in such environments with a mix of rational and data-driven bidders, and we allow for correlation across bidders in the signal distributions about the ex post values. After reviewing the working of the approach in second-price and first-price auctions, we show our main result that there is no efficient auction in such environments.


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