In a model of incomplete, heterogeneous information, with externalities and strategic interactions, we analyze the possibility for learning to act as coordination device. We build on the framework proposed by Angeletos and Pavan (2007) and extend it to a dynamic multiperiod setting where agents...

This paper approaches the problem of knowledge accumulation by the management team of organizations, but specially that ones focused on obtaining profit in order to obtain competitive advantage. After a brief presentation of the general context, the idea of continuing learning as investment is...

The paper analyzes a dynamic model of rational strategic learning in a network. It complements existing literature by providing a detailed picture of short-run dynamics in a game of strategic experimentation where agents are located in a social network. We show that the delay in information...

As by product of economic growth, jobs are indeed transformational. In other words, efficiency increases as workers get better at what they do (as more productive jobs appear and less productive one disappear). In fact societies flourish as jobs bring together people from different ethnic and...

This paper considers a model of observational learning in social networks. Every period, the agents observe the actions of their neighbors and their realized outcomes, and they imitate the most successful. First, we study the case where the network has finite population and we show that,...

In this paper I will examine the growth models of Romer (1986) and Lucas (1988) which constitute an important first core to the endogenous growth theory, in order to understand the characteristics, to highlight the relationship between knowledge and economic growth and / or emphasize the...

The present paper proposes a new way of thinking regarding the relation between innovation and knowledge using a Physics-borrowed model, trying to prove whether knowledge resources can „flow” (be percolated) in a network or a grid, in order to be transformed in technological innovation. In...

We introduce a computer program which calculates an agent’s optimal behavior according to Case-based Decision Theory (Gilboa and Schmeidler, 1995) and use it to test CBDT against a benchmark set of problems from the psychological literature on human classification learning (Shepard et al.,...

Using data from a randomized experiment in rural China, this paper studies the influence of social networks on weather insurance adoption and the mechanisms through which social networks operate. To quantify network effects, the experiment offers intensive information sessions about the...

In this paper we investigate how cognitive ability influences behavior, success and the evolution of play towards Nash equilibrium in repeated strategic interactions. We study behavior in a p-beauty contest experiment and find striking differences according to cognitive ability: more cognitively...