Code and Teaching Notes
Medicare Advantage Data Cleaning
Code to download, clean, and merge publicly available Centers for Medicare & Medicaid Services (CMS) data, plus a separate post-processing pipeline for the Jung et al. Medicare Advantage encounter data pipeline.
GitHub (Encounter Data), GitHub (Public Data)
Empirical Industrial Organization
Tutorials in Python and Julia on BLP, dynamic discrete choice, and auctions.
Featured on Victor Aguirregabiria's website!
Econometrics I
Solutions for textbook exercises and notes from weekly TA sessions for first year econometrics. It covers probability theory, basic mathematical statistics and regression analysis. The exercises are from Introduction to Econometrics and Econometrics.
Numerical Analysis
Solving exercises for numerical analysis including solving linear equations, approximation, solving differential equations in Julia.
Advanced Econometrics (with Machine learning)
Python tutorials and solutions to homework problems from An Introduction to Statistical Learning. It covers causal inference and machine learning.