#RDDers this looks interesting "A Note on Spatial Regression Discontinuity Designs" R package to boot: SpatialRDD lehner.xyz/pdf/Lehner_Spa…

Just to add on: It’s quite common in econ to just throw FE into a regression. Consider the two most common FE we use: unit and time. For unit FE, you need the treatment variable to vary within the unit. If treatment is fixed for all units? This shouldn’t work.

Thanks for the spotlight Giuseppe Cavaliere! The new draft has missing connections between modern TWFE and 30-years old panel data literature, expanded discussion of synth-related methods, including selection issues, and recomendations for empirical practice. Check it out!

What do you think are the biggest/ most important innovations in econometrics from the last decade? Think broadly about it. It could be specific packages, estimators, conceptual shifts in understanding designs, or adoption of techniques from statistics or ML

Is it burnout when you don’t want to learn stuff anymore and just want to stay still for like 3 months?

I love when this fight comes around every year or so!

I had a dream that I was getting a second phd.

It's INCREDIBLE that longitudinal admin data on tax records, recidivism, health, and much more, are now publicly and freely available. Wow! So many diff in diffs to run!! Congratulations CJARS! I am proud to have you as my colleagues!

This is a must-read for anyone interested in causal inference methods, especially if TMLE or DML are opaque to you. Well written as always Iván Díaz. Your clarity, rigor, and expertise are inspiring.

I'll agree and add that you have to know the coding language well enough to proofread it carefully. You also need to build checks directly into it.

I'm teaching my Modern DiD class for ICPSR Summer Program in a few weeks. Reviewing my notes reminds me how quickly this literature has grown! I think im going to have to add in a lecture just for strategies to keep track of updates

Is it really true that, for something like Poisson regression with panel data -- say, in a nonlinear diff-in-diffs setting -- R does not allow an option for clustered standard errors within the command? If so, that's a serious shortcoming of R. Big win for Stata.

I'm trying to write an R package for the first time and (*screams incoherently!*), it's kind of frustrating.

I haven't had a chance to read yet, but looks like Stefan wager wrote the causal inference book I've always wanted! web.stanford.edu/~swager/causal…

Somewhere along the way “correlation is not causation” morphed into “until the causal link is proven beyond a reasonable doubt, ideally with a large scale RCT with global external validity, than the correlation likely reflects the impact of some unobserved factor I can’t name.”

I don't think I can do this again. I can't take another round of this nightmare

1/ Our meta-analysis of 49 top political science publications using two-way fixed effects (TWFE) models w/ panel data is conditionally accepted at American Political Science Review. [arxiv.org/pdf/2309.15983] w/ Albert Chiu Ziyi Liu Xingchen Lan 🧵