Algorithms, Collusion and Competition Law: A Comparative Approach

Is competition law able to deal with algorithmic collusion? This evaluative book provides an insight into tackling this important question for competition law, with contrasting critical perspectives, including theoretical, empirical, and doctrinal – the latter frequently from a comparative perspective.

Bringing together scholarly discussion on algorithmic collusion, the book questions whether competition law is adeptly equipped to deal with its various facets. With a comprehensive overview of the recent literature on algorithmic collusion, chapters offer a critical appraisal of the effectiveness of competition law to deal with algorithmic collusion. Covering a unique collection of legal, theoretical, and experimental case studies, it initiates debate among legal scholars for a better understanding of the data upon which algorithms decide prices.

With a comparative identification of both the potentialities and limitations of competition law in relation to algorithmic collusion, this book will be of key value to students and scholars of competition law, economics and finance. It will also be an invaluable resource for legal practitioners and policy makers in the field.

Edited by Steven Van Uytsel, Professor of International Business Law, Faculty of Law, Kyushu University, Japan, Salil K. Mehra, James E. Beasley Professor of Law, Beasley School of Law, Temple University, US and Yoshiteru Uemura, Professor of Competition Law, Faculty of Economics, Hannan University, Japan