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.
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.
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...
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...
