Here are my blog posts that cover causal inference, econometrics, machine learning, and other data science topics.
Difference-in-Differences Is a Synthetic Control With Uniform Weights
Econometric Theory
Causal Inference
Artificial Counterfactuals in Dense Settings: now with prediction intervals
Causal Inference
Econometrics
Shake it to the Max? Using the \(\ell_\infty\) norm for Synthetic Control Methods
Machine Learning
Econometrics
What Is An Average?
Econometric Theory
Statistics
Synthetic Controls for Marketing Experiments
Experiments
Econometrics
What is a Synthetic Control?
Econometrics
Causal Inference
The Synthetic Historical Control Method
Econometrics
The Iterative Synthetic Control Method
Econometrics
Synthetic Controls With Non-Linear Outcome Trends: A Principled Approach to Extrapolation
Causal Inference
Econometrics
Synthetic Controls Do Not Care What Your Donors Are. So Why Do You?
Econometric Theory
Synthetic Control Methods for Personalized Causal Inference
Causal Inference
Econometrics
Synthetic Controls With More Than One Outcome
Causal Inference
Econometrics
Forward Selected Synthetic Control
Machine Learning
Econometrics
Data Science for Policy Analysts: A Simple Introduction to Web Scraping
Web Scraping
Python
Artificial Counterfactuals in Dense Settings: the \(\ell_2\) relaxer
Causal Inference
Econometrics
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