Pedro Sant'Anna

Pedro Sant'Anna is an Associate Professor of Economics at Emory University, specializing in Causal Inference, Econometrics, and Machine Learning. He holds a PhD in Economics (cum laude) from Universidad Carlos III de Madrid (2015), an MA from the same institution, and a BA from Ibmec-MG, Brazil (2009, Summa cum laude). His research focuses on applied econometric methods, particularly Difference-in-Differences (DiD) designs, and he is an Associate Editor for the Journal of Econometrics and Journal of Business & Economic Statistics.

Education

• PhD in Economics (cum laude), Universidad Carlos III de Madrid, Spain (2015)
• MA in Economics, Universidad Carlos III de Madrid, Spain (2011)
• BA in Economics (Summa cum laude), Ibmec-MG, Brazil (2009)

Research Interests

His work emphasizes improving DiD methodologies, including triple differences, continuous treatments, and staggered adoption designs. He has developed influential software tools (e.g., did, staggered, and DRDID packages) and co-authored a practitioner's guide to DiD designs. His research bridges econometrics and machine learning to address treatment effect heterogeneity and policy evaluation challenges.

Recent Contributions

Recent work includes advancing triple differences estimators, addressing compositional changes in DiD frameworks, and developing efficient methods for staggered rollout designs. He also explores overlap issues in doubly robust estimation and functional form sensitivity in parallel trends assumptions.

Grants and Collaborations

Sant'Anna collaborates with institutions like Microsoft and Amazon, applying econometric methods to real-world problems. His work has been supported by grants and partnerships, though specific grants are not detailed here.

Labs and Teams

He leads research initiatives on causal inference and DiD methodologies, often involving collaborations with students and international colleagues. His GitHub repositories host open-source tools for empirical researchers.