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caglaronal.bsky.social
Applied Micro, Labor, Health, Causal Inference | Economics PhD '23 from UWM | Currently at Northwestern University, CFAAR | Opinions are mine, not the views of my employer | Chicago Website: caglaronal.com
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Great DiD resource for R.

Economists love using linear regression to estimate treatment effects — it turns out that there are perils to this method, but also amazing perks Come with me in this 🧵 if you want to learn about our now-published paper "Contamination Bias in Linear Regressions!" 1/ (Twitter rerun!)

Okay, I made an updated version of the guide "Python Packages for Applied Economists" to reorganize a bit, incorporate suggestions, and put it on Github like a grownup: github.com/clibassi/pyt... Comments welcome!

If you're studying outcomes whose distributions resemble those in this picture then this new NBER working paper may be of interest. www.nber.org/papers/w31814

I think a boring social media without a constant stream of sensational or provocative content is much better.

Econometric Thread (#EconSky): Today, I will briefly discuss a few recent papers expanding the synthetic control method (SCM). I will talk about three WPss: Abadie + L'Hour (2019), Grossi, Lattarulo, Mariani, Mattei + Oner (2020); Cao + Dowd (2019) and Cattaneo, Feng, Palomba +Titiunik (2023).

THRILLED to come across this fantastic and timely resource on household income and inequality realtimeinequality.org OBSESSED with how they put together tables that make it look like stock market updates

The "Introduction to Econometrics with R" by Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer is very clear, and so many examples online www.econometrics-with-r.org

Hi #EconSky! I am an applied microeconomist working as a Data Analyst at Northwestern University's CFAAR, exploring the public health implications of food allergies. My interests lie in labor, health, and demographics. If data and causal inference intrigue you as well, I'd appreciate connecting.