Pedro H. C. Sant'Anna, Ph.D.

Pedro H. C. Sant’Anna, Ph.D., is an Associate Professor of Economics at Emory University and an Amazon Visiting Academic. Before joining Emory and Amazon, he was at Vanderbilt University and Microsoft.

Pedro is a passionate econometrician, working in causal inference and semi- and non-parametric methods (also known as machine learning). Much of his recent work aims to develop, better understand, and further improve Difference-in-Differences methods. In fact, Pedro is among the most impactful researchers working on Difference-in-Differences methods, with more than 5,000 citations on the topic. 

He has published in top journals in economics and has given guest lectures and seminars on DiD topics at leading universities around the world, including Harvard University, Yale University, University of Chicago, MIT, UC Berkeley, among others. He is also a coauthor of several open-source packages for Difference-in-Difference methods, allowing him to have a first-hand experience on practicalities of these modern tools. His industry experience also allows him to effectively communicate with a broad audience with many different backgrounds. 

Pedro received his BA in Economics from Ibmec-MG (Brazil) in 2009, his M.A. and Ph.D. in Economics at Universidad Carlos III de Madrid (Spain) in 2011 and 2015, respectively. He is a recipient of the 2016 Arnold Zellner Thesis Award in Econometrics and Statistics, awarded by the American Statistical Association.

For more information about Pedro, access his personal website: https://psantanna.com/