Helmut Farbmacher joined the TUM School of Management 2021 as a Professor of Applied Econometrics. He received his Ph.D. in Economics from the University of Munich (LMU) in 2012. In 2011, he joined the Max Planck Society as a Senior Researcher and was Head of the Health Econometrics Research Unit since 2014. In 2013, he spent the summer term as a Visiting Research Fellow at the University of Bristol. From 2017 to 2018 he joined the University of Mannheim as a Professor of Microeconometrics and the University of Munich (LMU) as a Professor of Economics in the subsequent year.
Helmut’s research covers a wide range of topics in econometrics and data science with applications in health, labor, and experimental economics. He particularly focuses on the exploration and analysis of big data, which are generally not amenable to standard econometric models. He is co-organizer of the Munich Econometrics Seminar and Workshop. His research has been published, among others, in the Journal of Econometrics, Journal of Business & Economic Statistics, Journal of the American Statistical Association, and Journal of Applied Econometrics.
Learning from high-dimensional, heterogeneous data: Machine learning methods in econometrics, supported by the German Research Foundation (DFG), 2021-2023. In this project, we work with methods from machine learning in microeconomic applications to estimate heterogeneous causal effects and to predict individual and firm behavior.
