Topics in Empirical Macroeconomic Research (Spring 2026)
Design and teach a course on empirical methods in macroeconomic research for advanced undergraduate students. Cover key topics such as impulse response analysis, identifying macroeconomic shocks, local projections versus VARs, and the distinction between description, causal interpretation, and policy.
Intermediate Macroeconomics (Fall 2025)
With: Ori Heffetz
Design and teach a comprehensive course on macroeconomic theory and policy for undergraduate students. Cover key topics such as business cycles, inflation, unemployment, and monetary and fiscal policy.
Machine Learning for Economists (Spring 2024)
(No longer active) Delivered an advanced graduate course on Machine Learning for Economists (ml4econ), bridging econometrics with ML techniques. Focus on causal inference and real-world applications, guiding students to apply algorithms to economic datasets. Continuously update content to reflect latest developments in ML and economic research.
Introduction to Bayesian Econometrics [Notes]