Econometrics
Tinbergen Institute benefits from the strong tradition in econometrics in the Netherlands. Research interests include machine learning, causal inference, time series econometrics, panel data, Bayesian econometrics, mathematical statistics and econometric methodology. Applications can be found in areas as diverse as monetary economics, labor economics, marketing, finance and climate.
Econometrics
Tinbergen Institute benefits from the strong tradition in econometrics in the Netherlands. Research interests include machine learning, causal inference, time series econometrics, panel data, Bayesian econometrics, mathematical statistics and econometric methodology. Applications can be found in areas as diverse as monetary economics, labor economics, marketing, finance and climate.
Researchers in this field
Key Publications
Discussion Papers
26-044/III - Environmental Regulatory Risk
Date: July 15, 2026
26-040/III - An Extended Score-Driven Dynamic Factor Model: Constructing Composite Indices in Turbulent Times
Date: June 25, 2026
26-033/III - Measuring Economic Impacts of Environmental Policy Transitions Across Countries
Date: June 11, 2026
26-026/III - Characteristic Function-Based Factor Modeling of Affine Jump-Diffusions using Options
Date: May 29, 2026
26-023/III - Barron-Loss Adaptive Estimation
Date: May 19, 2026
Upcoming events
Title to be announced
Andrei Zeleneev (University College London)
- Erasmus Econometric Institute Series
Facing the Hydra: Advancing Research Methods in the Social Sciences
Jack Fitzgerald
- PhD Defense
Bayesian Double Machine Learning for Causal Inference
Laura Liu (University of Pittsburgh, United States)
- Erasmus Econometric Institute Series
Title to be announced
Wei Miao (KU Leuven, Belgium)
- Econometrics Seminars and Workshop Series
UvA- KU Leuven Workshop on Panel Data Econometrics
Speakers to be announced
- Econometrics Seminars and Workshop Series
Academic Distinctions
Frank Kleibergen elected Fellow of the Econometric Society
Frank Kleibergen
Lina Zhang receives Veni research grant
Lina Zhang
Annika receives an NWO Open Competition SSH XS grant
Annika Camehl