We experimentally study the effect of information about competitors ́actions on cartel stability and firms ́incentives to form cartels in Cournot markets. As in previous experiments, markets become very competitive when individualized information is available and participants cannot...

This paper considers the effects of raising the cost of entry for a potential competitor on infinite-horizon Markov-perfect duopoly dynamics with ongoing demand uncertainty. All entrants serving the model industry incur sunk costs, and exit avoids future fixed costs. We focus on the unique...

A start-up engages in an investment portfolio problem by choosing how much to invest in a "rival" project, which threatens the position of an existing incumbent, and a "non-rival" project. Anticipating its acquisition by the incumbent, the start-up strategically distorts its portfolio of...

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...

We examine recent claims that a particular Q-learning algorithm used by competitors 'autonomously' and systematically learns to collude, resulting in supracompetitive prices and extra profits for the firms sustained by collusive equilibria. A detailed analysis of the inner workings of this...