Alberto Abadie (born April 3, 1968) is a Spanish economist who has served as a professor of economics at the Massachusetts Institute of Technology since 2016, where he is also Associate Director of the Institute for Data, Systems, and Society (IDSS).^[2] He is principally known for his work in econometrics and empirical microeconomics, and is a specialist in causal inference and program evaluation.^[3] He has made fundamental contributions to important areas in econometrics and statistics, including treatment effect models, instrumental variable estimation, matching estimators, difference in differences, and synthetic controls.^[3]

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Born in the Basque Country in 1968, Abadie received a BA in economics from the Universidad del País Vasco in 1987, where he specialised in mathematical economics and econometrics.^[2] He received an MA in economics from the Centro de Estudios Monetarios y Financieros in 1995, and a PhD in economics from the Massachusetts Institute of Technology in 1999, where his doctoral advisers were Joshua Angrist and Whitney K. Newey.^[2][4] Abadie was appointed an assistant professor of public policy at Harvard University in 1999, where he became an associate professor in 2004, and a full professor in 2005.^[2] He returned to the Department of Economics at his alma mater, MIT, in 2016, where he is currently a professor of economics, and Associate Director of the Institute for Data, Systems, and Society (IDSS).^[2]

Abadie has been a research associate at the NBER since 2009, where he was a faculty research fellow within its Labor Studies Program from 2002 to 2009.^[2] He co-edited the Review of Economics and Statistics from 2007 to 2011, and has served as an associate editor of several academic journals, including Econometrica.^[2] He was elected a Fellow of the Econometric Society in 2016, and was elected to the American Academy of Arts and Sciences in 2022.^[2][5][6]