Teaching
Computational Data Analytics for Economists (PhD, 2019)
- Joint class together with
Anthony Strittmatter
at the
University of Basel
in January 2019.
- The topics covered are
- Machine Learning for Prediction (R tutorial: Used Cars)
- Webscraping (R tutorials: Wikipedia, Kiva)
- Text Analysis (R tutorial: Kiva)
- Causal Machine Learning (R tutorial: Job Corps)
- Optimal Policy Learning (R tutorial: Charitable Givings)
- All material is available online on
Github
.
- All accompanying lab tutorials can be run online as Jupyter Notebooks on
Binder.
Tutorials
- Teaching assistant at the University of St. Gallen
- Introductory Econometrics (SS 2016, SS 2015, SS 2014)
- Macroeconomics (SS 2014, SS 2013)
- Microeconomics (FS 2014, FS 2013)