Courses and Notes

Last updated on Aug 13, 2021 1 min read

Here are some courses and notes that I have found useful for both my own research and teaching.

Courses

Ed Rubin: Machine Learning, PhD Metrics, Undergrad Metrics II

Stefanie Stantcheva: Public Economics & Fiscal Policy

Grant McDermott: Data Science for Economists

Ivan Rudik: Dynamic Optimization, Master’s Env Econ

Kyle Raze: Undergrad Metrics I, Intro Labor, Intro Micro

Notes

Miguel Á. Carreira-Perpiñán: Optimization Notes

Frank Pinter: Demand Estimation

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