Statistics and Econometrics
Machine Learning with Applications to Economics and Business Adminstration
The course will provide a practical introduction to modern high-dimensional function fitting methods - a.k.a. machine learning ML) methods (e.g. Lasso, Boosting, Neural Nets) - for efficient estimation and inference on treatment effects and structural parameters in empirical economic models. Participants will use R to allow them to immediately internalize and use the techniques in their own academic and industry work.
All lectures, except the introductory one, will be accompanied by R-code that can be used to reproduce the empirical examples in the lectures. Thus, there will be no gap between theory and practice.