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
    1. Machine Learning for Prediction (R tutorial: Used Cars)
    2. Webscraping (R tutorials: Wikipedia, Kiva)
    3. Text Analysis (R tutorial: Kiva)
    4. Causal Machine Learning (R tutorial: Job Corps)
    5. 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. Binder


  • 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)