We study the consequences of leniency - reduced legal sanctions for wrongdoers who spontaneously self-report to law enforcers - on sequential, bilateral, illegal transactions such as corruption, manager-auditor collusion, or drug deals. It is known that leniency helps to deter illegal...

Leniency programmes (or policies) reduce sanctions against cartel members that self-report to the Antitrust Authority. We focus on their ability to directly deter cartels and analogous criminal organizations by undermining internal trust, increasing individual incentives to ‘cheat’ on...

We model networks of relational (or implicit) contracts, exploring how sanctioning power and equilibrium conditions change under different network configurations and information transmission technologies. In our model relations are the links, and the value of the network lies in its ability to...

The paper reviews the recent evolution of leniency programs for cartels in the US and EU, surveys their theoretical economic analyses, and discusses the empirical and experimental evidence available, also looking briefly at related experiences of rewarding whistleblowers in other fields of law...

Collusive agreements and relational contracts are commonly modeled as equilibria of dynamic games with the strategic features of the repeated Prisoner's Dilemma. The pay-offs agents obtain when being ‘cheated upon’ by other agents play no role in these models. We propose a way to take these...