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...

The unprecedented access of firms to consumer level data facilitates more precisely targeted individual pricing. We study the incentives of a data broker to sell data about a segment of the market to three competing firms. The segment only includes a share of the consumers in the market around...

The literature on the licensing of an innovation has mainly focused on some specific contract types. We show within the framework of a fairly general model that removing these contractual limitations will lead to extreme market outcomes. Specifically, we find that when the patentee can employ...