If you want hands-on experience working on applied economics research with a group of fantastic mentors, you should definitely apply--I'll be joining the department next summer and would love to work with you!
Ah, thank you!
Thank you for putting this list together; I hope this response isn't too late for me to be added to the list.
Brad Ross (Stanford GSB) - Measuring and Mitigating Traffic Externalities - brad-ross.github.io
Would it not be GLS for efficiency reasons at least?
Thank you for the kind words!
Thank you so much! This project really was a team effort and wouldn’t have happened without @lihualei.bsky.social, who presented the paper when you saw it and is such a wonderful coauthor and mentor! I’ve learned so much from him.
I’m so sorry Andrew—may her memory continue to be a blessing to you
This paper provides a really nice way of justifying why synthetic controls “work well” at predicting counterfactual post-treatment outcomes.
As an end-of-alphabeter, I would appreciate an alternative to et al., but unfortunately it’s not clear this is the right one from a paper recognition perspective, although it’s better than numbered citations…
Another very cool paper by wonderful people!
Not sure they have a package yet, but this awesome paper by Dorn, Guo, and Kallus suggests a “doubly robust” sensitivity analysis under the same Marginal Sensitivity Model as Zhao et al with some very neat properties: arxiv.org/abs/2112.11449
A very clever paper on partial ID by some very cool people!
So glad the feet have stuck
One of my absolute favorites!
I initially read this as “good biology science writing” and got very confused lol
