Short CV
Master of Science, joined the IAW as a research associate in January 2018. He studied Business and Economics (B.Sc.) at the University of Hohenheim and Economics at the Eberhard Karls University Tübingen. He specialized on quantitative methods, especially policy evaluation methods, and their application to relevant questions in education and labor economics. In his Master Thesis, he looked at the estimation of heterogeneous treatment effects using Machine Learning Methods.
At the IAW, his current focus is on education and labor economics, especially in the context of migration.
Philipp Kugler has been a doctoral candidate at the Eberhard Karls University in Tübingen since 2018. His dissertation is titled 'Using Machine Learning Methods in Economics' and is supervised by Prof. Dr. Martin Biewen and Prof. Dr. Bernhard Boockmann.
