In this essay, we discuss the emerging literature in macroeconomics that combines
heterogeneous agent models, nominal rigidities, and aggregate shocks. This literature …

We propose a general and highly efficient method for solving and estimating general
equilibrium heterogeneous‐agent models with aggregate shocks in discrete time. Our …

This chapter provides an overview of solution and estimation techniques for dynamic
stochastic general equilibrium models. We cover the foundations of numerical …

We postulate a continuous‐time heterogeneous agent model with a financial sector and
households to study the nonlinear linkages between aggregate and financial variables. In …

Uncertainty is critical to questions about climate change policy. Recently developed
recursive integrated assessment models have become the primary tools for studying and …

We show how to enhance the performance of a Smolyak method for solving dynamic
economic models. First, we propose a more efficient implementation of the Smolyak method …

We introduce deep equilibrium nets (DEQNs)—a deep learning‐based method to compute
approximate functional rational expectations equilibria of economic models featuring a …

Dynamic programming (DP) is a powerful tool for solving a wide class of sequential decision-
making problems under uncertainty. In principle, it enables us to compute optimal decision …

We propose a new method for solving high-dimensional dynamic programming problems
and recursive competitive equilibria with a large (but finite) number of heterogeneous agents …

A rigorous and example-driven introduction to topics in economic dynamics, with an
emphasis on mathematical and computational techniques for modeling dynamic systems …