Please not that the lecture will take place in lecture hall 104 in Garystraße 21.

Philipp Bach: Causal Machine Learning - New Estimation Approaches for Empirical Economics

Abstract: In this welcome event, Philipp Bach will present his research on causal machine learning and its applications in empirical economics.High-performance machine learning algorithms have been a significant innovation that has transformed research across various fields over recent decades. However, applying machine learning techniques for empirical economic analysis, such as policy evaluation, presents specific statistical challenges. Philipp Bach will provide an overview of his current research projects, outline his future research plans, and offer an outlook on upcoming topics for teaching econometrics at FU Berlin.

Shushanik Margaryan: An Applied Micro Perspective on Causal Machine Learning 

Abstract: Recent development in econometrics offer new ways for causal evaluation. This talk presents an applied perspective on the role of machine-learning based modeling in microeconometrics with a focus on education, labour economics, and health economics. We'll discuss the huge potentials and open challenges of ML-based causal evaluation as compared to established estimation approaches.