142 research outputs found
Anti-Trust, Deregulation and the Identification of Predation
Institute of Transport and Logistics Studies. Business School. The University of Sydney
Penalising on the basis of the severity of the offence: A sophisticated revenue-based cartel penalty
In Katsoulacos et al. (2015) we examined the welfare properties of a number of monetary penalty regimes for tackling cartels, including revenue-based penalties, the most widely used regime. We showed that for a typical industry overcharge–based penalties welfare-dominate the others. However these penalties are subject to criticisms on the grounds of high implementation costs and lack of transparency/uncertainty. In this paper we propose a new sophisticated revenue-based penalty regime in which the penalty base is the revenue of the cartel but the penalty rate increases in a systematic way with the cartel overcharge. Thus, the proposed regime formalises how revenue can be used as the base while taking into account the severity of the offence. We show that this hybrid regime can replicate the desirable welfare properties of overcharge-based penalties while having relatively low levels of implementation costs and of uncertainty, concluding that the proposed penalty regime deserves very serious attention from Competition Authorities
Legal Uncertainty A Selective Deterrent
I show that legal uncertainty, i.e., uncertainty about the legality of a specific action, has positive welfare effects. Legal uncertainty works as a screening device provided that the threshold of legality is uncertain. The uncertainty discourages controversial actions, while it encourages socially beneficial actions. Legal uncertainty is a selective deterrent, because the uncertainty changes the probability of being convicted in opposite directions. Hence, in designing optimal rules there is no reason to avoid legal uncertainty at all costs. For example, the positive effect of legal uncertainty influences the balance between per-se rules and rules of reason in competition law
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