teaching
ph.d.
first year
I currently teach two first-year Ph.D. courses at Columbia. Both are part of the Columbia Economics first-year core curriculum.
Math Methods for Economists
Introduction to mathematical tools and methods for economists
In particular, I focus on recursive methods/dynamic programming.
Macroeconomic Analysis I
Introduction to business cycle facts, theory, and methods
I cover business cycle facts, the Real Business Cycle (RBC) model, applications of dynamic programming to the NGM and RBC, calibration/evaluation of the RBC, early extensions of the RBC, complete markets, aggregation, asset pricing, the consumption CAPM, welfare costs of business cycles, incomplete markets, self-insurance and precautionary savings, and heterogeneous agent models.
In the past (2014-2017) I have taught a second-year PhD course.
Advanced Macroeconomic Analysis
Topics in Macro Theory
I focus on informational frictions in macro (including global games, beauty contest games), production networks, asset pricing and information aggregation, and optimal fiscal and monetary policy with the primal approach.
ph.d.
second year
undergraduate
Advanced Macroeconomics
Advanced Undergraduate Elective
An introduction for highly-motivated undergrads to growth, business cycles, and modern macro theory.