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
Oliver Linton (University of Cambridge, United Kingdom)
- Erasmus Econometric Institute Series
Title to be announced
Bernd Schwaab (European Central Bank, Germany)
- Erasmus Econometric Institute Series
Estimation of large approximate dynamic matrix factor models...
Matteo Barigozzi (University of Bologna, Italy)
- Erasmus Econometric Institute Series
Title to be announced
Stanislav Anatolyev (CERGE-EI, Czech Republic)
- Erasmus Econometric Institute Series
Title to be announced
Marina Friedrich (Vrije Universiteit Amsterdam)
- Erasmus Econometric Institute Series
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