
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 | 778 | Founded | 5 years ago | Last Issue | 5 days ago |
| Active | |||||

It’s funny. On the one hand, I would say I am a visual person in that I respond well to pictures when trying to learn and remember things. On the other hand, I do not easily retain those pictures. My memories and my manner in which I naviga...
This is from a moderated discussion at the NBER Applications of AI in Healthcare meeting that happened in Cambridge, Massachusetts May 8th, 2026. The panel consisted of Kosali Simon, Scott Cunningham, David Bradford, and Coady Wing. This is...
Welcome to the 11th episode of The Mixtape with Scott, season 5, “The Odd Couple” featuring Caitlin Myers! This week we continue the riveting material from last week where we walked through a decomposition of the twoway fixed effects estima...
I’m going to write random thoughts. But something I have been thinking about for a while is “regression to the mean”. Regression to the mean, which Galton first coined (though he said “mediocre” not mean) had to do with extreme values. If y...
This week came and went.
This week came and went. I got to Zurich a week ago. I did a three day workshop on panel econometrics Monday to Wednesday at the University of Zurich. Six hour days, three days a week. It was unusually fatiguing an...
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The writers behind this newsletter.
Economist and Professor at Baylor University, author of Causal Inference: the Mixtape.
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