Behavioral Economics and Its Meaning for Antitrust Agency Decision Making
James C. Cooper
George Mason University School of Law - Law & Economics Center
William E. Kovacic
George Washington University - Law School
Journal of Law, Economics and Policy, Vol. 8, No. 4, Fall 2012
George Mason Law & Economics Research Paper No. 13-17
Of all fields of regulation in the United States, antitrust law relies most heavily on economics to inform the design and application of legal rules. When drafting antitrust statutes in the late 19th and early 20th centuries, Congress anticipated that courts and enforcement agencies would formulate and adjust operational standards to account for new learning. The field of economics — especially industrial organization economics — would give broad statutory commands much of their analytical content.
In principle, the flexibility of U.S. antitrust statutes makes competition policy adaptable and accommodates for upgrades over time. This evolutionary process is only effective if antitrust institutions can identify significant advances in economic learning and refine enforcement policy and doctrine accordingly. Owing to their expertise in economics and law, the two federal antitrust agencies — the Antitrust Division of the Department of Justice (DOJ) and the Federal Trade Commission (FTC) — are crucial instruments of adaptation. The antitrust system’s quality depends on the agencies’ commitment to reassess existing doctrine and policy in light of new developments.
Number of Pages in PDF File: 23
Keywords: Amos Tversky, Bayesian, Cass Sunstein, Christine Jolls, Coasian, Continental T.V., Inc. v. GTE Sylvania, confirmation, Daniel Kahneman, David Laibson, Farina, Hayek, Korobkin, Rachlinski, regulators, Ronald Coase, Schwinn, status quo bias, Stefano DellaVigna, Ulen, Ulrike Malmendier, Xavier Gabaix
JEL Classification: C11, C12, D21, D23, K21, L42, L44, L51, R38
Date posted: February 22, 2013
© 2016 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollobot1 in 0.234 seconds