In most jurisdictions, antitrust fines are based on affected commerce rather than on collusive profits, and in some others, caps on fines are introduced based on total firm sales rather than on affected commerce. We uncover a number of distortions that these policies generate, propose simple...

This Article investigates whether all stakeholder groups share the same understanding and useof the relevant terms and concepts of the DSA and DMA. Leveraging the power ofcomputational text analysis, we find significant differences in the employment ofterms like “gatekeepers,”...

This paper investigates a dataset that codes key features of the competition laws of 102 countries. It first compares the scope of the laws overall, and of various subcomponents such as the law governing dominance, collusive conduct, and mergers. The second question examined in this paper is...

We show that the number of merger proposals (frequency-based deterrence) is a more appropriate indicator of underlying changes in merger policy than the relative anti-competitiveness of merger proposals (composition-based deterrence). This has strong implications for the empirical analysis of...

This paper discusses the theory and practice of leniency in antitrust enforcement, i.e. the granting of immunity from penalties or the reduction of penalties for antitrust violations in exchange for cooperation with the antitrust enforcement authorities. After a description of the practice of...

Doubtless Brexit is one of the most important regulatory challenges for an entire country since the beginning of the XXIst century. Equally important are the implications in terms of costs and benefits of such democratic decision on the UK's economy and for its regulatory environment. So far,...

Leniency programs as a tool for cartel detection and cartel destabilization, have been implemented since the early nineties. Theoretical work has shown that leniency programs can be effective in enhancing cartel detection and deterrence, but these effects are not straight-forward. It is even...