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 …

We argue that deep learning provides a promising avenue for taming the curse of
dimensionality in quantitative economics. We begin by exploring the unique challenges …

This paper presents a dynamic stochastic general equilibrium model of Ricardian business
cycles. Our model is Ricardian because countries (or, equivalently, regions) trade to take …

Solving dynamic economic models that capture salient real-world heterogeneity and non-
linearity requires the approximation of high-dimensional functions. As their dimensionality …

This paper introduces the concept of``self-justified equilibria" as a tractable alternative to
rational expectations equilibria in stochastic general equilibrium models with heterogeneous …

The thesis is an in-depth examination of the potential of machine learning and artificial
intelligence techniques to improve the accuracy of macroeconomic forecasting and real-time …