Guido Imbens

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 The Applied Econometrics Professor and 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

Teaching

Degree Courses

2018-19

MGTECON 640: Quantitative Methods for Empirical Research

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...

OIT 536: Data for Action: From Insights to Applications

Data for Action is an MBA short 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 customers...

2017-18

MGTECON 640: Quantitative Methods for Empirical Research

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

GSBGEN 199: Curricular Practical Training for PhD Students

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...

MGTECON 603: Econometric Methods I

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...

MGTECON 640: Quantitative Methods for Empirical Research

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...

OIT 536: Data for Action: From Insights to Applications

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...

Insights by Stanford Business

writtenSusan Athey: Why Business Leaders Shouldn’t Have Blind Faith in AI

May 23, 2018

Telling cats from dogs is easy. It’s the what-ifs that get problematic.