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 can 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 literature.

Algorithmic Pricing: What Implications for Competition Policy?

Vincenzo Denicolò;Giacomo Calzolari;Emilio Calvano;Sergio Pastorello
2019

Abstract

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 can 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 literature.
Vincenzo Denicolò, Giacomo Calzolari, Emilio Calvano, Sergio Pastorello
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/663367
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