Michael C. Knaus

I am an Assistant Professor of “Data Science in Economics” at the School of Business and Economics of the University of Tübingen.

My research interests are at the intersection of causal inference and machine learning to answer questions in empirical, mostly labor, economics. In particular I am currently working on the estimation of average and heterogeneous treatment effects as well as on policy learning. See my research section or Google Scholar for more details and follow me on Mastodon or Twitter for news.

You find my teaching material on causal machine learning methods for policy evaluation/learning in the teaching section.