Upcoming events
Webinar: How Integrated are Credit and Equity Markets? Evidence...
Pierre Collin-Dufresne (Swiss Finance Institute @ EPFL, Switzerland)
- TI Finance Research Seminars
Webinar: Some Unexplored Connections between Measure Transportation...
Davide La Vecchia (Geneva School of Economics and Management, Switzerland)
- Seminars Econometric Institute
TI-BDS Joint Conference: Comparative Analysis of Enterprise Data...
Keynotes: John Van Reenen (MIT)
Testing for Observation-dependent Regime Switchingin Mixture...
Mika Meitz (University of Helsinki, Finland)
- Econometrics Seminars and Workshop Series
To be announced
Gordon Phillips (Dartmouth College, United States)
- Macro Seminars
Information session for prospective applicants
Sign up for this event has been closed. If you are interested in the program, please send an email to admissions@businessdatascience.nl.
Conference: Comparative Analysis of Enterprise Data
Business Data Science research master program and Tinbergen Institute jointly host the 16th Conference on Comparative Analysis of Enterprise Data. The conference promotes comparative research using enterprise microdata on a variety of topics and from different (and inter) disciplinary approaches. The conference is a unique meeting point for producers and users of these data, including statisticians, survey methodologists, economists and econometricians, business researchers and other data scientists.
Keynote: John Van Reenen (MIT)
Lecture by Yacine Ait-Sahalia CANCELLED
Lecture by Professor Yacine Aït-Sahalia is cancelled due to the Covid19 outbreak.
Yacine Aït-Sahalia, is the Otto A. Hack Professor of Finance and Economics at Princeton University and the Founding Director of the Bendheim Center for Finance at Princeton. Professor Ait-Sahalia’s research has concentrated on the estimation of continuous-time models in financial economics.
Business Data Science
The Business Data Science (BDS) research master program is a joint initiative of the schools of economics and business of the Erasmus University Rotterdam, University of Amsterdam and Vrije Universiteit Amsterdam. Courses connect data science techniques to different fields in the business discipline: entrepreneurship and innovation, finance, human resources and organization, marketing and logistics and supply chain. Courses are offered in both the Amsterdam and Rotterdam location.