This is a paper about “big data” and antitrust law. For my purposes, big data refers to digital platforms that enable the discovery and sharing of information by consumers, and the harvesting and analysis of data on those consumers by the platform. The obvious example of such a platform is...

Antitrust enforcement regimes rely on two types of penalties for deterrence: penalties against the violating firm and penalties against the agents of the violating firm. In this paper I examine the economics of punishing agents versus firms. My area of application is antitrust, but the argument...

Intellectual property law and antitrust have been described as conflicting bodies of law, and the reason is easy to see. Antitrust law aims to protect consumers from the consequences of monopolization. Intellectual property law seeks to enhance incentives to innovate by granting monopolies in...

The antitrust laws of the United States have, from their inception, allowed firms to acquire significant market power, to charge prices that reflect that market power, and to enjoy supra-competitive returns. This article shows that this policy, which was established by the U.S. Congress and...

The recent financial crisis and recession provide an opportunity to reexamine the dynamic versus static efficiency tradeoff in antitrust enforcement policy. We examine implications of the optimal antitrust enforcement model when dynamic efficiency is incorporated. The “dynamic enforcement...

This paper modifies the optimal penalty analysis by incorporating investment incentives with external benefits. In the models examined, the recommendation that the optimal penalty should internalize the marginal social harm is no longer valid as a general rule. We focus on antitrust...