This paper analyzes how data-driven vertical integration between a platform and one downstream seller affects market outcomes in a two-sided market where sellers with asymmetric targeting skills target advertisements to individuals who have varying privacy concerns. I show that data-driven...

We analyze platform competition where user data is collected to improve ad-targeting. Considering that users incur privacy costs, we show that the equilibrium level of data provision is distorted and can be inefficiently high or low: if overall competition is weak or if targeting benefits are...

This paper investigates how privacy regulation affects the structure of online markets. We provide a simple theoretical model capturing the basic trade-off between the degree of privacy intrusion and the informativeness of advertising. We derive empirically testable hypotheses regarding a...

Two duopolists compete in price on the market for a homogeneous product. They can ‘profile’ consumers, i.e., identify their valuations with some probability. If both firms can profile consumers but with different abilities, then they achieve positive expected profits at equilibrium. This...