I am an Associate Professor of Economics at Emory University.

My research interests lie in Applied Econometrics, particularly in Causal Inference. In the last few years, I have focused on better understanding and improving Difference-in-Differences methods.

I am currently an Associate Editor for the Journal of Econometrics and for the Journal of Business & Economic Statistics.

Recent Updates:

- I am super excited to release my new paper with Xiaohong Chen and Haitian Xie, "Efficient Difference-in-Differences and Event Study Estimators " . This paper address some interesting open problems in the DiD literature, including (i) how to effectively explore data from different pre-treatment periods and comparison groups; (ii) how to compare different DiD and ES estimators in terms of precision/efficiency; and (iii) whether embracing treatment effect heterogeneity necessarily leads to less efficient estimators compared to TWFE (answer is no!). We also have some nice visualization tools that can be used to better understand how the Efficient DiD estimator works.

- I have been working on this DDD paper for a while (see my 2022 Triple Differences lecture on YouTube), and I am glad this updated version is out! Please check "Better Understanding Triple Differences Estimators" , joint with my Ph.D. student Marcelo Ortiz-Villavicencio. This paper has some nice and surprising results, stressing that we should not understand DDD designs as simply the difference of two DiDs. Cool stuff, if you ask me!

- If you are looking for guidance on DiDs, we have good news for you! Andrew Baker, Brant Callaway, Scott Cunningham, Andrew Goodman-Bacon, and I wrote "Difference-in-Differences Designs: A Practitioner's Guide" .This is now accepted in the Journal of Economic Literature. Replication codes and data will be posted very soon.