Posts
Here are my blog posts that cover causal inference, econometrics, machine learning, and other data science topics.
Artificial Counterfactuals in Dense Settings: the \(\ell_2\) relaxer
Causal Inference
Econometrics
Data Science for Policy Analysts: A Simple Introduction to Web Scraping
Web Scraping
Python
On the Use of Clustering for Synthetic Controls
Causal Inference
Machine Learning
Why Data Generating Processes Matter for Causal Infernece
Econometric Theory
Econometrics
Causal Inference
Applying Forward DID to Construction and Tourism Policy
Causal Inference
Machine Learning
Econometrics
Causal Inference Runs the World: Actionable Insights, Econometrics Style
Econometrics
Causal Inference
Data Science
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