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 | 831 | Founded | 6 years ago | Last Issue | 6 days ago |
| Active | |||||
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causalinf.substack.comLatest Issues
Connectors and My Harness Idea
I have been using the connectors in Claude Code fairly regularly now. Connectors seem to be the mechanism by which I can imagine being able to do two things.
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Being able to use Claude Code from within the claude app on my phone
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B...
CodeChella Mexico City 2027
Given the popularity of CodeChella Madrid the last 3 years, Kyle Butts and I are bringing CodeChella to the Americas. Join us in Mexico City to learn panel data causal inference methods including difference-in-differences and modern synthet...
Four Rungs of Covariate Inclusion in Callaway and Sant’Anna
I have been writing recently about the inclusion of covariates in diff-in-diff, but a lot of it is motivated by Callaway and Sant’Anna (CS). So let me just switch and be specific here about CS. I’m going to lay out four principles, you can...
Where and how will the human be in the loop?
This paper came across my desk today. It’s by two authors from Hugging Face — Margarett Mitchell and Avijit Ghosh — and Samir Passi from Data & Society. I think it is a very important paper that if you are reading this substack, you should...
Which covariates? When to include them?
I mentioned the other day that I have been building a harness for causal inference.
I mentioned the other day that I have been building a harness for causal inference. Harness is probably not the most accurate word because what I mean by i...
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Economist and Professor at Baylor University, author of Causal Inference: the Mixtape.
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