We characterize a monopolist's optimal offer of service plans when only informed customers know already at the contracting stage whether their demand is high or low, while uninformed customers may learn their demand only after incurring some costs, if at all. While informed customers purchase...

We study optimal experimentation by a monopolistic platform in a two-sided market framework. The platform provider faces uncertainty about the strength of the externality each side is exerting on the other. It maximizes the expected present value of its profit stream in a continuous-time...

We study optimal experimentation by a monopolistic platform in a two-sided market. The platform provider is uncertain about the strength of the externality each side is exerting on the other. Setting participation fees on both sides, it gradually learns about these externalities by observing...

We analyze a model of monopolistic price discrimination where only some consumers are originally sufficiently informed about their preferences, e.g., about their future demand for a utility such as electricity or telecommunication. When more consumers become informed, we show that this benefits...

We study optimal experimentation by a monopolistic platform in a two-sided mar- ket. The platform provider faces uncertainty about the strength of the externality each side is exerting on the other. It maximizes the expected present value of its profit stream in a continuous-time...

We characterize a monopolist's optimal offer of service plans when only informed customers know already at the contracting stage whether their demand is high or low, while uninformed customers may learn their demand only after incurring some costs, if at all. While informed customers purchase...

We study optimal experimentation by a monopolistic platform in a two-sided market framework. The platform provider faces uncertainty about the strength of the externality each side is exerting on the other. It maximizes the expected present value of its profit stream in a continuous-time...