We analyse firms' sourcing decisions under institutional uncertainty in foreign countries. Firms can reduce their uncertainty by observing offshoring firms' behaviour. The model characterises a sequential offshoring equilibrium path, led by the most productive firms in the market. With multiple...

We analyse firms’ sourcing decisions under institutional uncertainty in foreign countries. Firms can reduce their uncertainty by observing offshoring firms’ behaviour. The model characterises a sequential offshoring equilibrium path, led by the most productive firms in the market. With...

We propose a dynamic structural model that illuminates the economic mechanisms shaping individual behavior and outcomes on crowdsourced ideation platforms. We estimate the model using a rich data set obtained from IdeaStorm.com, a crowdsourced ideation initiative affiliated with Dell. We find...

Why are some people more optimistic about their life than others? Literature on locus of control suggests that optimism is associated with the belief that one's life outcomes are controlled by internal factors, such as ability, instead of external factors, such as powerful others or chance....

Why are some people more optimistic about their life than others? Literature on locus of control suggests that optimism is associated with the belief that one’s life outcomes are controlled by internal factors, such as ability, instead of external factors, such as powerful others or chance....

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 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...

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 develop a dynamic model of opinion formation in social networks. Relevant information is spread throughout the network in such a way that no agent has enough data to learn a payoff-relevant parameter. Individuals engage in communication with their neighbors in order to learn from their...

We study learning and influence in a setting where agents communicate according to an arbitrary social network and naively 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...