
Scott’s Mixtape is dedicated to teaching causal inference, econometrics, and applied empirical research with a focus on how AI agents are transforming how researchers work. Practical tutorials, live research, and documentation of what works and doesn’t.
| Platform | Pricing | Freemium | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 799 | Founded | 5 years ago | Last Issue | 10 days ago |
| Active | |||||

Hola!
Hola! Day one of my vacation has begun. To get ready, I’m closing some of these pesty tabs. (Is it “pesty”? That doesn’t sound right. Testy? Pesky! I’m closing some of these PESKY tabs).Scott's Mixtape Substack is a reader-supported...
Well, I am almost done!
Well, I am almost done! May 11th, I left Boston for Zurich. And June 26th, I am leaving Belgium for Madrid where my actual vacation begins. I spend three days in Madrid and four days in San Sebastián, then one day i...
This week is a hoot! Caitlin and I finally get some estimates of the different target parameters using continuous treatment diff-in-diff! We discuss in detail how the estimator works and then go through our analysis. Watch to the end to see...
Well, this was my second visit to Lucca Italy in two year.
Well, this was my second visit to Lucca Italy in two year. Last year I came for two weeks, after visiting Collegio Carlo Alberto. I asked ChatGPT last year to recommend somewhere t...
Today’s post will share some pictures from Berlin, but also pick up where an earlier post on covariates in diff-in-diff left off.
Today’s post will share some pictures from Berlin, but also pick up where an earlier post on covariates in di...
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The writers behind this newsletter.
Economist and Professor at Baylor University, author of Causal Inference: the Mixtape.
Faculty, IU O'Neill School. Health policy researcher using large-scale data. Writes from the perspective of someone who enjoys producing research, teaching, and building institutional research supports.
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