Increasingly, algorithms are supplanting human decision-makers in pricing goods and
services. To analyze the possible consequences, we study experimentally the behavior of …

We provide the first empirical analysis of the relationship between algorithmic pricing (AP)
and competition by studying the impact of adoption in Germany's retail gasoline market …

We document new facts about pricing technology using high-frequency data, and we
examine the implications for competition. Some online retailers employ technology that …

As businesses become more sophisticated and welcome new technologies, artificial
intelligence (AI)-based methods are increasingly being used for firms' pricing decisions. In …

DEVELOPING COMPETITION LAW FOR COLLUSION BY AUTONOMOUS ARTIFICIAL
AGENTS† | Journal of Competition Law & Economics | Oxford Academic Skip to Main Content …

Prices are increasingly set by algorithms. One concern is that intelligent algorithms may
learn to collude on higher prices even in the absence of the kind of coordination necessary …

This paper discusses whether self-learning price-setting algorithms can coordinate their
pricing behavior to achieve a collusive outcome that maximizes the joint profits of the firms …

A new and urgently needed guide to making the American economy more competitive at a
time when tech giants have amassed vast market power. The US economy is growing less …

We investigate the ability of a platform to design its marketplace to promote competition,
improve consumer surplus, and increase its own payoff. We consider demand‐steering rules …

We build a game-theoretic model to examine how better demand forecasting resulting from
algorithms, machine learning, and artificial intelligence affects the sustainability of collusion …