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
25-065/III - The role of news and social pressure in shaping U.S. public opinion on climate change
Date: November 21, 2025
25-063/III - Testing for the Absence of Score-Driven Parameter Dynamics
Date: October 24, 2025
25-056/III - Do shocks divide or unite: Evidence from the Netherlands
Date: September 26, 2025
25-051/III - An Impartial Look at Asset Correlation Stability and Market Structure
Date: September 19, 2025
25-053/III - Exploring the crime drop in European Union homicide rates using econometric modeling
Date: September 19, 2025
Upcoming events
Modeling Explosive Dynamics in Time Series: Theory and Applications
Gabriele Mingoli
- PhD Defense
An Adversarial Approach to Identification and Inference
Chris Muris (McMaster University, Canada)
- Econometrics Seminars and Workshop Series
Pricing ultra-short-term volatility surfaces
Federico Bandi (Johns Hopkins University, United States)
- Erasmus Econometric Institute Series
Econometric Game
Title to be announced
Francesco Lippi (Luiss University Rome, Italy)
- Research on Monday
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