
Causal Inference, Coding and Consumer Finance
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 20 | Founded | 4 years ago | Last Issue | 5 days ago |
| Active | |||||

There is a Chinese curse which says “May he live in interesting times.” Like it or not, we live in interesting times. They are times of danger and uncertainty; but they are also the most creative of any time in the history of mankind. And e...
A recent WSJ op-ed begins with:
Dear College Graduate:
Congratulations on your degree. I hope it was hundreds of thousands of dollars well spent, though probably not as fervently as your parents do.
From the Washington Post:
According t...
Part 5 of a series on AI coding tools for empirical research, accompanying my Markus Academy video series.
The previous posts in this series have been practical: setting up Claude Code, making figures, scraping EDGAR, and working with larg...
AI has lowered a huge number of frictions for me with respect to programming. I am now able to code up many tools and ideas, and I really enjoy it. But it’s not uniformly doable across all projects — not because the coding is too hard for L...
Part 4 of a series on AI coding tools for empirical research, accompanying my Markus Academy video series.
Most applied economists are not great at working with big data. We make do, but we are very far from the frontier of a) effective an...
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The writers behind this newsletter.
Associate Professor of Finance at Yale School of Management I study consumer finance and applied econometrics is a big part of my research identity.
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