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
26-007/III - Self-driving neural networks for term structure modeling
Date: February 26, 2026
26-004/III - Dynamic Regularized Parametric Portfolio Policies
Date: January 21, 2026
26-002/III - Estimation and inference for the persistence of extremely high temperatures
Date: January 09, 2026
25-074/III - Exponentially weighted estimands and the exponential family: filtering, prediction and smoothing
Date: December 18, 2025
25-065/III - The role of news and social pressure in shaping U.S. public opinion on climate change
Date: November 21, 2025
Upcoming events
Which Factors Drive Downside Risk in the U.S. Economy?
Christian T. Brownlees (LUISS Guido Carli, Italy)
- Erasmus Econometric Institute Series
Econometric Game
Title to be announced
Daniel Lewis (University College London, United Kingdom)
- Econometrics Seminars and Workshop Series
Semiparametric Instrumental Variable Method
Jiti Gao (Monash University, Australia)
- Econometrics Seminars and Workshop Series
Title to be announced
Mark Podolskij (University of Luxembourg)
- Erasmus Econometric Institute 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