Caglar Onal
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caglaronal.bsky.social
Caglar Onal
@caglaronal.bsky.social
Applied microeconomist | Labor & health

Website: caglaronal.com
Reposted by Caglar Onal
TIL how to download census data (www2.census.gov) super simply.

Finder: Go > Connect to Server > ftp://ftp2.census.gov/. Login as guest and 🤯
April 5, 2025 at 1:48 PM
Reposted by Caglar Onal
Please repost to get the word out! @nkgarg.bsky.social and I are excited to present a personalized feed for academics! It shows posts about papers from accounts you’re following bsky.app/profile/pape...
March 10, 2025 at 3:12 PM
Reposted by Caglar Onal
I have a question for #EconSky and #StatSky:

I'm looking for two primers on:
- survival analysis in general
- frailty models

Any recommendations to share?

Thanks!
March 4, 2025 at 4:34 PM
Great DiD resource for R.
We streamlined six new DID-like estimators and created this tutorial for implementation in R.
yiqingxu.org/packages/fec...

Hope you no longer need to spend months figuring out what these estimators are and how to use them.
February 21, 2025 at 3:34 PM
Reposted by Caglar Onal
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!)
The December 2024 issue of the American Economic Review (114, 12) is now available online at aeaweb.org/issues/785.
American Economic Review
Vol. 114 No. 12 December 2024
aeaweb.org
November 30, 2024 at 12:29 PM
Reposted by Caglar Onal
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!
GitHub - clibassi/python-packages-for-applied-economists: A curated collection of Python packages for applied economists, organized by functionality to support econometric analysis, data management, v...
A curated collection of Python packages for applied economists, organized by functionality to support econometric analysis, data management, visualization, and specialized tasks. - clibassi/python-...
github.com
November 24, 2024 at 10:18 PM
Reposted by Caglar Onal
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
November 3, 2023 at 1:18 PM
Reposted by Caglar Onal
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).
October 24, 2023 at 2:28 AM
Reposted by Caglar Onal
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
October 11, 2023 at 4:10 PM
Reposted by Caglar Onal
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
October 5, 2023 at 4:05 PM