We propose a new method for computing equilibria in heterogeneous-agent models with aggregate uncertainty. The idea relies on an assumption that linearization offers a good approximation; we share this assumption with existing linearization methods. However, unlike those methods, the approach...

We use a new micro data set to estimate a stochastic industry-equilibrium model of the oil industry. This effort is a first step towards studying the importance of ongoing structural changes in the oil market in a general-equilibrium model of the world economy. We analyze the impact of the...

This paper employs the benchmark heterogeneous-agent model used in macroeconomics to examine drivers of the rise in wealth inequality in the U.S. over the last thirty years. Several plausible candidates are formulated, calibrated to data, and examined through the lens of the model. There is one...