In this paper we provide a simple locally interactive dynamic model of technology choice and output production. We assume a Cobb-Douglas type production function for two available technologies. The returns to technology 0 are not affected by local spillovers. Technology 1 is more costly, as...

Abstract In this paper we provide a simple locally interactive dynamic model of technology choice and output production. We assume a Cobb-Douglas type production function for two available technologies. The returns to technology 0 are not affected by local spillovers. Technology 1 is more...

This paper studies the analytical properties of the reinforcement learning model proposed in Erev and Roth (1998), also termed cumulative reinforcement learning in Laslier et al. (2001).

In this paper we provide a simple locally interactive dynamic model of technology choice and output production. We assume a Cobb-Douglas type production function for two available technologies. The returns to technology 0 are not affected by local spillovers. Technology 1 is more costly, as...

We study social learning in a large population of agents who only observe the actions taken by their neighbours. Agents have to choose one, out of two, reversible actions, each optimal in one, out of two, unknown states of the world. Each agent chooses rationally, on the basis of private...

We develop a model of unforeseen contingencies. These are contingencies that are understood by economic agents — their consequences and probabilities are known — but are such that every description of such events necessarily leaves out relevant features that have a non-negligible impact on...

We study a contracting model with unforeseen contingencies in which the court is an active player. Ex-ante, the contracting parties cannot include the risky unforeseen contingencies in the contract they draw up. Ex-post the court observes whether an unforeseen contingency occurred, and decides...