In the context of diffusion of innovations, we propose a probabilistic model based on interacting populations connected through new communication channels. The potential adopters are heterogeneous in the connectivity levels and in their taste for innovation. The proposed framework can model the...

We analyze a class of dynamic binary choice models with social interaction. Agents are heterogeneous and their degree of conformism (taste externality) changes over time endogenously. We show that social interaction in itself is not enough to observe multiple equilibria and that the equilibrium...

We study the impact of contagion in a network of firms facing credit risk. We describe an intensity based model where the homogeneity assumption is broken by introducing a random environment that makes it possible to take into account the idiosyncratic characteristics of the firms. We shall see...