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 | 793 | Founded | 5 years ago | Last Issue | 5 days ago |
| Active | |||||
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causalinf.substack.comLatest Issues
Vertical regression and selection bias in diff-in-diff (plus some pictures of Pisa and Stresa Italy)
First part of this is pictures of Italy — namely Pisa where I was first of the week and now Stresa on Lake Maggiore where I am now. The second part is about parallel trends and how it is actually just another form of selection bias, which i...
Claude Code 55: Beauty and story are key to my workflow harness
I think my harness-workflow is taking shape. I think I’ve gotten to some core principles, what motivates them, and where I am going. Thanks again for being a subscriber. I appreciate everyone’s support.
Scott's Mixtape Substack is a reader...
Claude Code 54: Amnesia
I’ve mentioned before that I got diagnosed with attention deficit disorder “primarily inattentive” about 15 years ago. I don’t take any medication for it though. I did but it didn’t really seem to make things better. I more or less consider...
Episode 13: Finally the Continuous Diff-in-Diff Estimator Shows Up!
Caitlin and I are back after a one week hiatus as we each ran around traveling in our respective parts of the world. Probably for the best, as it allowed two weeks of twoway fixed effects decompositions to marinate. But now it’s time — can...
Claude Code 53: Applied econometrics will require a detailed checklist
This is going to be short. I have to teach at Sant’Anna this afternoon in Pisa, and for the last, on I don’t know, 4-5 yours I have been trouble shooting something where I was using Callaway and Sant’Anna (CSDID) on a project. And if you lo...
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Authors
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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