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
Principles and Flexibility in Multiple Testing
Jelle Goeman (Leiden University Medical Center)
- Erasmus Econometric Institute Series
Efficient Volatility-Managed Portfolios
Christian Conrad (Heidelberg University, Germany)
- Econometrics Seminars and Workshop Series
Liquidity-Adjusted Expected Shortfall Tests
Ekaterina Kazak (University of Birmingham)
- Erasmus Econometric Institute Series
Title to be announced
Anders Rahbek (University of Copenhagen, Denmark)
- Erasmus Econometric Institute Series
Extremes with Random Covariates
Just de Groot
- PhD Seminars
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