The effectiveness of social interaction depends strongly on an ability to coordinate actions efficiently. In large networks, such coordination may be very difficult to achieve and may depend on the communication technology and the network structure. We examine how pre-play communication and...

We study the bilateral exchange of information in the context of linear quadratic games. An information structure is here represented by a non directed network, whose nodes are agents and whose links represent sharing agreements. We first study the equilibrium use of information in any given...

In this paper, we describe a series of laboratory experiments that implement specific examples of a more general network structure and we examine equilibrium selection. Specifically, actions are either strategic substitutes or strategic complements, and participants have either complete or...

We study the incentives of oligoplistic firms to share private information on demand parameters. Differently from previous studies, we consider bilateral sharing agreements, by which firms commit at the ex-ante stage to truthfully share information. We show that if signals are i.i.d., then...

We study the incentives of oligopolistic firms to share private information on demand parameters. Differently from previous studies, we consider bilateral sharing agreements, by which firms commit at the ex-ante stage to truthfully share information. We show that if signals are i.i.d., then...

The trade-off between the costs and benefits of disclosing a firm's private information has been the object of a vast literature. The absence of incentives to share information on a common market demand prior to competition has been advocated to interpret information sharing as evidence of...

We study the incentives of oligoplistic firms to share private information on demand parameters. Differently from previous studies, we consider bilateral sharing agreements, by which firms commit at the ex-ante stage to truthfully share information. We show that if signals are i.i.d., then...