A Dynamic Axiomatic Approach to First-Price Auctions
Darrell Hoy, Kamal Jain, and Christopher A. Wilkens

TL;DR
This paper introduces a dynamic, axiomatic approach to understanding first-price auctions, demonstrating how simple behavioral assumptions can yield robust revenue guarantees in complex, repeated auction settings.
Contribution
It develops a dynamic framework for analyzing first-price auctions, introduces the utility-target auction, and shows how behavioral axioms lead to strong performance guarantees.
Findings
A loser raising her bid quickly ensures revenue at least as high as second-price auctions.
The utility-target auction performs well in complex environments.
Pure-strategy equilibrium exists in the utility-target auction.
Abstract
The first-price auction is popular in practice for its simplicity and transparency. Moreover, its potential virtues grow in complex settings where incentive compatible auctions may generate little or no revenue. Unfortunately, the first-price auction is poorly understood in theory because equilibrium is not {\em a priori} a credible predictor of bidder behavior. We take a dynamic approach to studying first-price auctions: rather than basing performance guarantees solely on static equilibria, we study the repeated setting and show that robust performance guarantees may be derived from simple axioms of bidder behavior. For example, as long as a loser raises her bid quickly, a standard first-price auction will generate at least as much revenue as a second-price auction. We generalize this dynamic technique to complex pay-your-bid auction settings and show that progressively stronger…
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Taxonomy
TopicsAuction Theory and Applications · Experimental Behavioral Economics Studies · Consumer Market Behavior and Pricing
