Joseph Farrell is a professor of economics at the Graduate School in the Department of Economics at the University of California, Berkeley, and a partner at Bates White. From 2009 to 2012, Joseph Farrell served as director of the Bureau of Economics at the Federal Trade Commission, where he was responsible for economic analysis relating to the bureau’s antitrust and consumer protection portfolios, and was a key member of the team that revised the FTC/Department of Justice Horizontal Merger Guidelines. His prior government experience includes serving as Deputy Assistant Attorney General for Economic Analysis for the Antitrust Division of the US Department of Justice and as Chief Economist for the Federal Communications Commission. Dr. Farrell has been retained by US and international government and private clients for internal advice and expert testimony. His widely cited academic research has focused on the economics of competition, mergers, innovation, and network effects. He is an internationally recognized leader for his contributions in industrial organization, regulation and antitrust enforcement, intellectual property, and game theory. Earlier in his academic career, Joseph Farrell was Chair of the Competition Policy Center at UC Berkeley. Joseph Farrell is a Fellow of the Econometric Society, past President of the Industrial Organization Society, former Editor of the Journal of Industrial Economics, and former Board Member for the National Academies’ Computer Science and Telecommunications Board.
1999 | Events
Change is in the air and it is coming to antitrust and competition policy in the United States. The unexpected election of President-elect Donald J. Trump opened wide the speculation or mystery about what he and his advisors are planning concerning his administration’s antitrust policy. During (...)
Merger analysis draws inferences from quantitative study of market data, and it does so in several ways whose contrasts are often stressed. But it also draws inferences from the views of customers and other participants. Both types of inference are valuable, and they are used together more (...)