Martin Huber

Professor Martin Huber is a leading academic in Applied Econometrics and Policy Evaluation at the University of Fribourg within the Faculty of Management, Economics and Social Sciences. He also serves as a Research Associate at the Centre for European Economic Research (ZEW) and collaborates with institutions like Soda Labs (Monash Business School).

• PhD in Economics and Finance (2010)
• Assistant Professor at University of St.Gallen (2010-2014)
• Research stays at Harvard University (2011/2012) and University of Sydney (2014, 2019)

His research focuses on data-based causal analysis, machine learning, and policy evaluation in labor, health, and education economics. He has pioneered the integration of causal machine learning with traditional econometric methods, developing novel algorithms for bid-rigging detection and dynamic treatment effect analysis.

Recent publications demonstrate methodological advancements in graph attention networks, doubly robust estimation, and causal mediation analysis. His work addresses practical challenges like sample selection bias, instrument validation, and high-dimensional data in policy evaluation.

Huber actively engages in teaching through initiatives like the ZEW summer school and Fribourg Winter School, where he instructs on R, Python, and causal analysis tools. He maintains a strong online presence through @causalhuber.bsky.social and has published Impact Evaluation in Firms and Organizations (MIT Press, 2023).