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
Assessing solution quality in risk-averse stochastic programmes
Ruben van Beesten (Erasmus University Rotterdam)
- Erasmus Econometric Institute Series
Data-Driven Tuning Parameter Selection for High-Dimensional Vector...
Rasmus Søndergaard Pedersen (University of Copenhagen, Denmark)
- Econometrics Seminars and Workshop Series
EUR Master Open Day (Hybrid event)
Network Dual Reoptimisation Policies and Bounds for Managing...
Alessio Trivella (University of Twente)
- Erasmus Econometric Institute Series
Title to be announced
Jean-Marc Robin (Sciences Po, France)
- Econometrics Seminars and Workshop Series
Academic Distinctions
An NWO Open Competition - SSH L grant has been awarded to Bas...
Monique de Haan,Nadine Ketel,Bas van der Klaauw,Hessel Oosterbeek
Florian Wagener elected President of the International Society...
Florian Wagener
Siem Jan Koopman Laureate of a Francqui Chair
Siem Jan Koopman