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
AI Agents in Economics and Business Research
Faculty: Finn-Ole Höner (Erasmus University Rotterdam)
Which Factors Drive Downside Risk in the U.S. Economy?
Christian T. Brownlees (LUISS Guido Carli, Italy)
- Erasmus Econometric Institute Series
Econometric Game
Title to be announced
Daniel Lewis (University College London, United Kingdom)
- Econometrics Seminars and Workshop Series
Semiparametric Instrumental Variable Method
Jiti Gao (Monash University, Australia)
- Econometrics Seminars and Workshop 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