Aug 14, 2018 · We investigate how the platform can estimate the dependence of the observable agents' outcomes on their covariates, taking the latent agents into account.

Jun 22, 2023 · This paper asks the following fundamental questions: (i) How can network effects be estimated in the absence of data on some agents? (ii) How ...

A subset of the agents participate on a platform, and hence, are observable to it. The rest are not observable to the platform and are called the latent agents.

We provide an algorithm that estimates this matrix using historical data of covariates and outcomes for the observable agents under a suitable approximate ...

It is established that by using the estimated matrix the seller can construct prices that lead to a small revenue loss relative to revenue-maximizing prices ...

Jun 22, 2023 · In this setting, the observable agents influence each other's outcomes both directly and indirectly through their influence on the latent agents ...

Mar 21, 2024 · In this setting, the observable agents influence each other's outcomes both directly and indirectly through their influence on the latent agents ...

The authors provide an estimation algorithm that performs well in high-dimensional settings and demonstrate the application of their algorithm to a targeted ...

Abstract:We focus on a setting where agents in a social network consume a product that exhibits positive local network externalities.

We study the optimal pricing strategies of a monopolist selling a divisible good (service) to consumers that are embedded in a social network. A key feature of ...