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Guido W. Imbens

Guido W. Imbens
Professor, Economics
GuidoW.Imbens
The Applied Econometrics Professor
Professor of Economics
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

  • Stanford GSB Trust Faculty Fellow, 2013-2014

Publications

Journal Articles

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.

Working Papers

Exact P-values for Network Interference | PDF
Susan Athey, Dean Eckles, Guido W. Imbens, June 52015

Courses Taught

Degree Courses

2014-15

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 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...

Many post-MBA jobs require the ability to analyze very large data sets and proficiency with Microsoft Excel is no longer sufficient. MBA graduates frequently shy away from more advanced analysis tools because of the need to write computer code...

2013-14

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

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...

2012-13

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...

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.