I am an Assistant Professor of Econometrics at the Swiss Institute for Empirical Economic Research of the University of St. Gallen and part of the Data and Method Consulting that advices students and faculty regarding their empirical work.
My research interests are at the intersection of causal inference and machine learning to answer questions in empirical economics. In particular I am currently working on the estimation of average and heterogeneous treatment effects. See my research section for more details.
27.03.2019: Poster “Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence” at the EuroCIM2019
17.12.2018: Update of “Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence” on arXiv and upload of R-Package CATEs to implement the considered estimators
31.10.2018: Pre-print of “Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence”, with Michael Lechner and Anthony Strittmatter available on ResearchGate
24.10.2018: Pre-print about “Predicting Match Outcomes in Football by an Ordered Forest Estimator”, with Daniel Goller, Michael Lechner and Gabriel Okasa available on ResearchGate
23.05.2018: Pre-print of “A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student’s Skills” available on arXiv, ResearchGate, and as an IZA Discussion Paper, the accompanying R package dmlmt is available on GitHub
24.04.2018: Oldest chapter of the thesis “Work Hour Mismatch and Job Mobility: Adjustment Channels and Resolution Rates”, with Steffen Otterbach, accepted and published online at Economic Inquiry
06.03.2018: Public defense of my thesis “Essays in Empirical Economics using Microeconometric and Causal Machine Learning Methods” (slides)