Strategies to mitigate global climate change should be grounded in a rigorous
understanding of energy systems, particularly the factors that drive energy demand. Agent …

Many discrete decisions are made with an eye toward how they will affect future outcomes.
Formulating and estimating the underlying models that generate these decisions is difficult …

We develop a dynamic trade model with spatially distinct labor markets facing varying
exposure to international trade. The model captures the role of labor mobility frictions, goods …

This paper develops and estimates an equilibrium model where heterogeneous firms can
exploit two margins of informality:(i) not register their business, the extensive margin; and (ii) …

We use a randomized experiment and a structural model to test whether monitoring and
financial incentives can reduce teacher absence and increase learning in India. In treatment …

Reinforcement learning algorithms describe how an agent can learn an optimal action policy
in a sequential decision process, through repeated experience. In a given environment, the …

I survey the male and female labor supply literatures, focusing on implications for effects of
wages and taxes. For males, I describe and contrast results from three basic types of model …

This paper shows the endogeneity of amenities plays a crucial role in determining the
welfare distribution of a city's residents. We quantify this mechanism by building a dynamic …

We document the hidden costs of a popular nudge and show how these costs distort policy
making when neglected. In a field experiment with a charity, we find reminders increasing …

This paper considers the path choice problem, formulating and discussing an econometric
random utility model for the choice of path in a network with no restriction on the choice set …