Revising the U.S. DOJ-FTC Horizontal Merger Guidelines – Accounting for Algorithmic Coordination
Michal Gal & Daniel L. Rubinfeld, University of Haifa & University of California at Berkeley
This Comment is written in response to DOJ-FTC Request for Information on Merger Enforcement. We explain that the use of pricing algorithms based on artificial intelligence methodologies (hereinafter: “pricing algorithms”), by one or both parties, should be taken into account in the merger analysis. This is due to the fact that the use of such algorithms might substantially increase the possibility of explicit or tacit collusive behavior. We then suggest several ways in which merger review and the Horizontal Merger Guidelines can incorporate such effects.
Featured News
UK Probes Lindab’s Acquisition of HAS-Vent Amid Fears of Market Monopoly
Apr 28, 2024 by
CPI
Shein Faces EU Regulations Over User Data
Apr 28, 2024 by
CPI
Google Fights Back Against US Antitrust Lawsuit
Apr 28, 2024 by
CPI
US Homeland Security Establishes Blue-Ribbon Board with Tech CEOs to Advise on AI
Apr 28, 2024 by
CPI
FTC Accuses Amazon Executives of Using Disappearing Messaging Apps to Conceal Evidence
Apr 28, 2024 by
CPI
Antitrust Mix by CPI
Antitrust Chronicle® – Economics of Criminal Antitrust
Apr 19, 2024 by
CPI
Navigating Economic Expert Work in Criminal Antitrust Litigation
Apr 19, 2024 by
CPI
The Increased Importance of Economics in Cartel Cases
Apr 19, 2024 by
CPI
A Law and Economics Analysis of the Antitrust Treatment of Physician Collective Price Agreements
Apr 19, 2024 by
CPI
Information Exchange In Criminal Antitrust Cases: How Economic Testimony Can Tip The Scales
Apr 19, 2024 by
CPI