Guido W. Imbens

Guido W. Imbens
Professor, Economics
Contact Info
GuidoW.Imbens
The Applied Econometrics Professor and Professor of Economics
Professor of Economics, School of Humanities and Sciences
Senior Fellow, Stanford Institute for Economic Policy Research
Academic Area: 
Economics

Research Statement

Guido Imbens does research in econometrics and statistics. His research focuses on developing methods for drawing causal inferences in observational studies, using matching, instrumental variables, and regression discontinuity designs.

Bio

Guido Imbens is Professor of Economics at the Stanford Graduate School of Business. After graduating from Brown University Guido taught at Harvard University, UCLA, and UC Berkeley. He joined the GSB in 2012. Imbens specializes in econometrics, and in particular methods for drawing causal inferences. Guido Imbens is a fellow of the Econometric Society and the American Academy of Arts and Sciences.

Awards and Honors

  • Fellow, American Academy of Arts
  • Fellow, The Econometric Society
  • Stanford GSB Trust Faculty Fellow, 2013-2014
  • Honorary Doctorate, University of St Gallen

Publications

Journal Articles

Susan Athey, Guido W. Imbens, Thai Pham, Stefan Wager. American Economic Review. May 2017, Vol. 107, Issue 5, Pages 278-81.
Susan Athey, Guido W. Imbens. Journal of Economic Perspectives. May 2017, Vol. 31, Issue 2, Pages 3-32.
Susan Athey, Dean Eckles, Guido W. Imbens. Journal of the American Statistical Association (forthcoming). 2017.
Shu Yang, Guido W. Imbens, Zhanglin Cui, Douglas E. Faries, Zbigniew Kadziola. Biometrics. December 2016, Vol. 72, Issue 4, Pages 1055-1065.
Guido W. Imbens, Michal Kolesar. The Review of Economics and Statistics . October 2016, Vol. 98, Issue 4, Pages 701-712.
Guido W. Imbens, Alberto Abadie. Econometrica. March 2016, Vol. 84, Issue 2, Pages 781-807.
Susan Athey, Guido W. Imbens. American Economic Review. May 1, 2015, Vol. 105, Issue 5, Pages 476–480.
Katherine Casey, Guido W. Imbens, E. Miguel, C. Camerer, J. Cohen, K.M. Esterling, A. Gerber, R. Glennerster, D.P. Green, D. Laitin, L. Neslon, B.A. Nosek, M. Petersen, R. Sedlmayr, J.P. Simmons, U. Simonsohn, M. Van der Laan. Science. January 3, 2014, Vol. 343, Issue 6166, Pages 30-31.

Books

Guido W. Imbens, Donald B. Rubin Cambridge University Press, April 6, 2015.

Working Papers

Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments | PDF
Shu Yang, Guido W. Imbens, Zhanglin Cui, Douglas Faries, Zbigniew Kadziola, December 142015
Exact P-values for Network Interference | PDF
Susan Athey, Dean Eckles, Guido W. Imbens, June 2015
Machine Learning for Estimating Heretogeneous Casual Effects | PDF
Susan Athey, Guido W. Imbens, April 2015
Finite Population Causal Standard Errors | PDF
Alberto Abadie, Susan Athey, Guido W. Imbens, Jeffrey M. Wooldridge, July 2014

Teaching

Degree Courses

2017-18

This is an advanced course on quantitative methods for empirical research. Students are expected to have taken a course in linear models before. In this course I will discuss modern econometric methods for nonlinear models, including maximum...

2016-17

GSB students are eligible to report on work experience that is relevant to their core studies under the direction of the Director of the PhD Program. Registration for this work must be approved by the Director of the PhD Program and is limited to...

This is the first course in the sequence in graduate econometrics. The course covers some of the probabilistic and statistical underpinnings of econometrics, and explores the large-sample properties of maximum likelihood estimators. You are...

This is an advanced course on quantitative methods for empirical research. Students are expected to have taken a course in linear models before. In this course I will discuss modern econometric methods for nonlinear models, including maximum...

Data for Action is an MBA compressed course dedicated to identifying value in and creating value from data. It deals with the technical, legal, regulatory and business strategic decisions that must be considered when delivering solutions to...

2015-16

GSB students are eligible to report on work experience that is relevant to their core studies under the direction of the Director of the PhD Program. Registration for this work must be approved by the Director of the PhD Program and is limited to...

Most statistical questions involving data ultimately are about causal effects. What is the effect of changing prices on demand? What is the effect of an advertising campaign on demand. In this course we discuss statistical methods for analyzing...

This is an advanced course on quantitative methods for empirical research. Students are expected to have taken a course in linear models before. In this course I will discuss modern econometric methods for nonlinear models, including maximum...

Data for Action is an MBA compressed course dedicated to identifying value in and creating value from data. It deals with the technical, legal, regulatory and business strategic decisions that must be considered when delivering solutions to...

School News

July 11, 2012
Award-winning economist Susan Athey, noted econometrician Guido Imbens, corporate finance expert Joshua Rauh, and others to join Stanford GSB faculty.