

Data Science and Econometrics
The Netherlands has a strong tradition in econometrics and data analysis. Data science combines these traditions by focusing on quantitative methods to extract knowledge and insights from structured and unstructured data. The methods contain more traditional econometric methods as well as more novel machine learning methods. Applications are in the fields of marketing, management, economics and focus on both obtaining descriptive as well as causal evidence.
Data Science and Econometrics
The Netherlands has a strong tradition in econometrics and data analysis. Data science combines these traditions by focusing on quantitative methods to extract knowledge and insights from structured and unstructured data. The methods contain more traditional econometric methods as well as more novel machine learning methods. Applications are in the fields of marketing, management, economics and focus on both obtaining descriptive as well as causal evidence.
Our people

Key publications





Upcoming events
Title to be announced
Phillip Heiler (Aarhus University, Denmark)
- Erasmus Econometric Institute Series
Model-Free Bounds for Option Prices in Incomplete Markets
Yannick Dillschneider
- Erasmus Econometric Institute Series
Title to be announced
Vasilis Sarafidis (Brunel University London, United Kingdom)
- Econometrics Seminars and Workshop Series
A Kernel Score Perspective on Forecast Disagreement and the Linear...
Fabian Krüger (Karlsruhe Institute of Technology, Germany)
- Erasmus Econometric Institute Series
Title to be announced
Pasquale Della Corte (Imperial College London, United Kingdom)
- Erasmus Econometric Institute Series
Academic Distinctions
Annika receives an NWO Open Competition SSH XS grant
Annika Camehl
NWO Open Competition SSH M Grant
Andre Lucas
Thao Le won Best Flash Talk and Poster presentation at the 2025...
Thao Le