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
Semiparametric Forecast Comparison in Unstable Environments
Laura Coroneo (University of York, United Kingdom)
- Erasmus Econometric Institute Series
Realized Autoregressive Conditional Betas
Sébastien Laurent (Aix-Marseille Université, France)
- Erasmus Econometric Institute Series
Title to be announced
Christoph Breunig (University of Bonn, Germany)
- Econometrics Seminars and Workshop Series
Multivariate Inference for Dynamic Systemic Risk Measures
Nikolaus Hautsch (University of Vienna, Austria)
- Erasmus Econometric Institute Series
Econometric Game
Academic Distinctions
Frank Kleibergen elected Fellow of the Econometric Society
Frank Kleibergen
Annika receives an NWO Open Competition SSH XS grant
Annika Camehl
NWO Open Competition SSH M Grant
Andre Lucas