Brad Ross

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

I Want A Hippopotamus For Christmas Lake Street Dive · Song · 2017

Definitely in the top echelon, especially this version

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!

Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal... We consider the problem of constructing bounds on the average treatment effect (ATE) when unmeasured confounders exist but have bounded influence. Specifically, we assume that omitted confounders...

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