This paper studies the effects of leniency programs on the behavior of firms participating in illegal cartel agreements. The main contribution of the paper is that we consider asymmetric firms. In general, firms differ in size and operate in several different markets. In our model, they form a...

Data-driven AI pricing algorithms in on-line markets collect consumer information and use it in their pricing technologies. In the simplest symmetric Hotelling's model such technologies reduce prices and profits. We extend Hotelling's model with vertically differentiated products, cost...

An entrant and an incumbent engage in an investment portfolio problem where each chooses how to allocate its research funds across a rival market, where they compete with one another, and a non-rival market, where they do not interact. Allowing for acquisitions distorts both players' incentives...

For a general class of oligopoly models with price competition, we analyze the impact of ex-ante leniency programs in antitrust regulation on the endogenous maximal-sustainable cartel price. This impact depends upon industry characteristics including its cartel culture. Our analysis disentangles...

We analyze maximal cartel prices in infinitely-repeated oligopoly models under leniency where fines are linked to illegal gains, as often outlined in existing antitrust regulation, and detection probabilities depend on the degree of collusion. We introduce cartel culture that describes how...