Algorithmic Pricing: What Implications for Competition Policy?
19 Pages Posted: 28 Jul 2018
Date Written: July 7, 2018
Pricing decisions are increasingly in the “hands” of artificial algorithms. Scholars and competition authorities have voiced concerns that those algorithms are capable of sustaining collusive outcomes more effectively than human decision makers. If this is so, then our traditional policy tools for fighting collusion may have to be reconsidered. We discuss these issues by critically surveying the relevant law, economics and computer science literatures.
Keywords: Algorithmic Pricing, Competition Policy, Artifical Intellicence, Machine Learning, Collusion
JEL Classification: D42, D82, L42
Suggested Citation: Suggested Citation