

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.
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Key publications





Upcoming events
Overparametrization and the bias-variance dilemma
Johannes Schmidt-Hieber (University of Twente)
- Erasmus Econometric Institute Series
How to Bet on Winners and Losers
André B.M. Souza (ESADE Business School, Spain)
- Erasmus Econometric Institute Series
Title to be announced
Bonsoo Koo (Monash University, Australia)
- Erasmus Econometric Institute Series
Inference in Time-Varying SVARs Identified with Sign Restrictions...
Jonas Arias (Federal Reserve Bank of Philadelphia, United States)
- Erasmus Econometric Institute Series
Identifying the Portfolio Balance Mechanism
Jefferson Duarte (Rice University, United States)
- Erasmus Econometric Institute Series
Academic Distinctions
Juan Juan Cai obtains NWO Open Competition Domaine Science-M...
Juan Juan Cai
An NWO VIDI Grant (€ 850,000) has been awarded to Arturas Juodis...
Arturas Juodis
An NWO Open Competition - SSH L grant has been awarded to Bas...
Monique de Haan,Nadine Ketel,Bas van der Klaauw,Hessel Oosterbeek