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Code for "The Trickling Up of Excess Savings" (Auclert, Rognlie, Straub 2023)
A unified framework to solve and analyze heterogeneous-agent macro models.
Code for "New Pricing Models, Same Old Phillips Curves?" (Auclert, Rigato, Rognlie, Straub 2023)
Python package for downloading data from the Bureau of Economic Analysis (BEA) data API.
Interactive guide to Fernández-Villaverde, Hurtado, and Nuño (2019): "Financial Frictions and the Wealth Distribution".
Code for the Spring 2023 NBER heterogeneous-agent macro workshop
Code for the Spring 2022 heterogeneous-agent macro workshop
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Python utilities for working with Kilts-Nielsen files
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
ECON 833: Computational Methods for Economists
Outline and materials for Forecasting and Predictive Analytics