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 problem of information sharing in oligopoly, when sharing decisions are taken before the realization of private signals. Using the general model developed by Raith (1996), we show that if firms are allowed to make bilateral exclusive sharing agreements, then some degree of...

This paper establishes sufficient conditions for the existence of a stable coalition structure in the "coalition unanimity" game of coalition formation, first defined by Hart and Kurz (1983) and more recently studied by Yi (1997, 2000). Our conditions are defined on the strategic form game used...

This paper proposes a formulation of coalitional payoff possibilities in games with externalities, based on the assumption that forming coalitions can exploit a "first mover advantage". We derive a characteristic function and show that when outside players play their best response...

This paper revisits a particular behaviour for firms competing in imperfect competitive markets, underlying the well known model of kinked demand curve. We show that under some symmetry and regularity conditions, this asymmetric behaviour of firms sustains monopoly pricing, and possesses...

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...

We study the problem of information sharing in oligopoly, when sharing decisions are taken before the realization of private signals. Using the general model developed by Raith (1996), we show that if firms are allowed to make bilateral exclusive sharing agreements, then some degree of...