July 2014
Article
ACM Transactions on Economics and Computation

Convergence of Position Auctions under Myopic Best-Response Dynamics

By: Matthew Cary, Aparna Das, Benjamin Edelman, Ioannis Giotis, Kurtis Heimerl, Anna Karlin, Scott Duke Kominers, Claire Mathieu and Michael Schwarz

Format:Print

Abstract

We study the dynamics of multi-round position auctions, considering both the case of exogenous click-through rates and the case in which click-through rates are determined by an endogenous consumer search process. In both contexts, we demonstrate that the dynamic auctions converge to their associated static, envy-free equilibria. Furthermore, convergence is efficient, and the entry of low-quality advertisers does not slow convergence. Because our approach predominantly relies on assumptions common in the sponsored search literature, our results suggest that dynamic position auctions converge more generally.

Keywords

Sponsored Search; Advertising; Google; Equilibrium Selection; Online Advertising; Advertising Industry

Citation

Cary, Matthew, Aparna Das, Benjamin Edelman, Ioannis Giotis, Kurtis Heimerl, Anna Karlin, Scott Duke Kominers, Claire Mathieu, and Michael Schwarz. "Convergence of Position Auctions under Myopic Best-Response Dynamics." ACM Transactions on Economics and Computation 2, no. 3 (July 2014): 1–20.