As the importance of addressing climate change increases the future global role for nuclear power, the demand for uranium will increase. Expanded uranium reserves will be needed to meet this increased demand, highlighting the importance of future exploratory efforts. To shed light on the social...

As addressing climate change becomes a high priority it seems likely that there will be a surge in interest in deploying nuclear power. Other fuel bases are too dirty (coal), too expensive (oil, natural gas) or too speculative (solar, wind) to completely supply the energy needs of the global...

We study whether households can distinguish persistent from transitory income shocks, and the implications for consumption-saving behavior. We construct a novel consumption-saving model where the household must infer the persistent component of its income process from actual income realizations...

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...

A classic argument in economics is that experience in the market place will eliminate mistakes and cognitive biases. Internet auctions are a popular market were some bidders gather extensive experience. In a unique data set from a Scandinavian auction site I question if and what bidders learn....

The objective of this paper is to propose a multidisciplinary approach for the analysis of demand and innovation. It combines insights from studies on technology diffusion, evolutionary economics and cognitive psychology to argue that consumption and demand are learning processes driven by...

Standard theoretical models of household saving behavior do not typically assume that household perceptions of the world change in response to observed events. In light of the potential importance of such perception changes (e.g., after a financial crisis), this paper considers the hypothesis...

I propose a flexible non-parametric method using Recurrent Neural Networks (RNN) to estimate a generalized model of expectation formation. This approach does not rely on restrictive assumptions of functional forms and parametric methods yet nests the standard approaches of empirical studies on...

This paper provides evidence that a firm's stock price movements affect its customer demand. I develop a model in which customers learn about a firm's product quality partially from its stock price. This learning induces feedback from the price to customer demand. Furthermore, the firm manager...

This paper studies the role of observational learning in search markets where buyers do not take the list price as a take-it-or-leave-it offer. Using a unique data from the Beijing housing market, we estimate a structural model in which buyers infer a seller’s reservation value from the...