As online information availability for products and services is increasing and as buyers engage in more online search prior to purchase decisions, it is becoming more important for firms to know when to invest to reduce buyer uncertainty. This article argues that today's firms should view...

As a common practice, various firms initially make information and access to their products/services scarce within a social network; identifying influential players that facilitate information dissemination emerges as a pivotal step for their success. In this paper, we tackle this problem using...

This paper studies the competition between firms for influencers in a network. Firms spend effort to convince influencers to recommend their products. The analysis identifies the offensive and defensive roles of spending on influencers. The value of an influencer only depends on the in-degree...

This paper proposes approximate variational inference methods for estimation of a strategic model of social interactions. Players interact in an exogenous network and sequentially choose a binary action. The utility of an action is a function of the choices of neighbors in the network. I prove...

The Internet has had profound effects on society, both positive and negative. In this paper we examine the effect of the Internet on a negative spillover: hate crime. In order to better understand the link, we study the extent to which broadband availability affects racial hatecrimes in the US...

Online platforms, such as Google, Facebook, or Amazon, are constantly expanding their activities, while increasing the overlap in their service offering. In this paper, we study the scope and overlap of online platforms' activities, when they are endogenously determined. We model an expansion...

We investigate theoretically and empirically the determinants of second-degree price discrimination in two-sided markets. We build a model in which a newspaper must attract both readers and advertisers. Readers are uncertain as to their future benefit from reading, and heterogeneous in their...

We develop a model of dynamic platform formation under positive platform externalities. Users can switch between an incumbent and entrant platforms, switching opportunities arise stochastically and users can choose whether to accept or reject an opportunity to switch. For homogeneous users, we...

While much is known about optimal design of auctions within the context of a single item for sale, little is known about optimal design of large platform markets like eBay and auto auction houses that house large numbers of concurrent auctions. We attempt a macro-level empirical market design...

Online labor markets are platforms that facilitate Buyer-Determined (BD) auctions in which buyers can identify and hire service providers who bid to offer IT services. We examine the effect of bid visibility (i.e., open bid versus sealed bid) on the bidders’ entry strategies (number of...