We investigate collusive pricing in laboratory markets when human players interact with an algorithm. We compare the degree of (tacit) collusion when exclusively humans interact to the case of one firm in the market delegating its decisions to an algorithm. We further vary whether participants...

In a capacity-then-price-setting game we experimentally identify capacity precommitment, the possibility to communicate before price choices, and prior competition experience as crucial factors for collusive pricing. The theoretical analysis determines the capacity thresholds above which firms...

A usual assumption in the theory of collusion is that cartels are all-inclusive. In contrast, most real-world collusive agreements do not include all firms that are active in the relevant industry. This paper studies both theoretically and experimentally the formation and behavior of partial...

This paper investigates the collusive and competitive effects of algorithmic price recommendations on market outcomes. These recommendations are often non-binding and common in many markets, especially on online platforms. We develop a theoretical framework and derive two algorithms that...