Policy Analysis, Data Science, and Causal Inference
Here are my blog posts that cover causal inference, econometrics, machine learning, and other data science topics.
Data Science for Policy Analysts: A Simple Introduction to Web Scraping
Web Scraping
Python
Forward Selected Synthetic Control
Machine Learning
Econometrics
Synthetic Controls With More Than One Outcome
Causal Inference
Econometrics
Synthetic Control Methods for Personalized Causal Inference
Causal Inference
Econometrics
Synthetic Controls Do Not Care What Your Donors Are. So Why Do You?
Econometric Theory
Synthetic Controls With Non-Linear Outcome Trends: A Principled Approach to Extrapolation
Causal Inference
Econometrics
The Iterative Synthetic Control Method
Econometrics
The Synthetic Historical Control Method
Econometrics
What is a Synthetic Control?
Econometrics
Causal Inference
Forward Augmented Synthetic Controls
Causal Inference
Econometrics
What Are We Weighting For?
Econometric Theory
Synthetic Controls for Marketing Experiments
Experiments
Econometrics
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