This paper investigates the design of incentives in a dynamic adverse selection framework when agents’ production technologies display learning effects and agents’ rate of learning is private knowledge. In a simple two-period model with full commitment available to the principal, we show...

We study learning and influence in a setting where agents communicate according to an arbitrary social network and naïvely update their beliefs by repeatedly taking weighted averages of their neighbors' opinions. A focus is on conditions under which beliefs of all agents in large societies...

Syndication, which is a joint realization of one project/one investment by several capital providers, is a long existing phenomenon that plays a central role in many financial market segments. Within this paper we develop a theoretical model focusing on the dynamic aspect of syndication, namely...

We propose a theory that explains why rational agents start to believe in a causal relationship between unrelated events. Agents send and collect messages through a communication network. If they are convinced of a relationship between two events, they send messages confirming their belief with...

This paper investigates opinion dynamics and social influence in directed communication networks. We study the theoretical properties of a boundedly rational model of opinion formation in which individuals aggregate the information they receive from their neighbors by using weights that are a...

We study learning and influence in a setting where agents communicate according to an arbitrary social network and naïvely update their beliefs by repeatedly taking weighted averages of their neighbors’ opinions. A focus is on conditions under which beliefs of all agents in large societies...

Using French firm-level trade data, we provide empirical support for a heterogenous firm model in which exporting requires finding a local partner in each market. In the model, contracts are incomplete, exporters must learn the reliability of their partners through experience and export...

This paper investigates opinion dynamics and social influence in directed communication networks. We study the properties of a generalized boundedly rational model of opinion formation in which individuals aggregate the information they receive by using weights that are a function of their...

We develop a dynamic model of opinion formation in social networks when the information required for learning a parameter may not be at the disposal of any single agent. Individuals engage in communication with their neighbors in order to learn from their experiences. However, instead of...