
Professor of Econometrics and Data Science
- Location
- Burg. Oudlaan 50, Rotterdam
- Room
- ET-35
- dfok@ese.eur.nl
Profile
Dennis Fok is professor of Econometrics and Data Science at the Econometric Institute of the Erasmus School of Economics, Erasmus University Rotterdam. He obtained his PhD in 2003 on advanced econometric marketing models. He combines state-of-the-art quantitative techniques to relevant marketing topics. His research interests include applied econometrics in general, with a particular focus on combining new econometric methods with marketing questions. More specifically, he focuses on modeling unobserved heterogeneity, non-linear models, Bayesian statistics, and modeling consumer-level decisions. Recently, his research interests also concern models for high-dimensional data. One example is the development of methods and efficient estimation techniques for modeling choices from a very large set of alternatives. His work has been published in the top marketing journals such as Journal of Marketing Research, Marketing Science, International Journal of Research in Marketing and in top econometrics journals such as Journal of Econometrics, Journal of Applied Econometrics, and Journal of Business and Economic Statistics.
- Matilda Dorotic, Dennis Fok, Peter C. Verhoef & Tammo H.A. Bijmolt (2021) - Synergistic and cannibalization effects in a partnership loyalty program - Journal of the Academy of Marketing Science, 49 (5), 1021-1042 - doi: 10.1007/s11747-020-00759-7 - [link]
- Bruno Jacobs, Dennis Fok & Bas Donkers (2021) - Understanding Large-Scale Dynamic Purchase Behavior - Marketing Science, 40 (5), 844-870 - doi: 10.1287/mksc.2020.1279
- Aiste Ruseckaite, Dennis Fok & PP Goos (2020) - Flexible Mixture-Amount Models Using Multivariate Gaussian Processes - Journal of Business and Economic Statistics, 38 (2), 257-271 - doi: 10.1080/07350015.2018.1497506 - [link]
- Dennis Fok, Andre van Stel, AE Burke & Roy Thurik (2019) - How entry crowds and grows markets: the gradual disaster management view of market dynamics in the retail industry - Annals of Operations Research, 283, 1111-1138 - doi: 10.1007/s10479-019-03322-y
- W Li, Dennis Fok & Philip Hans Franses (2019) - Forecasting own brand sales: Does incorporating competition help? - [link]
- Dennis Fok & Richard Paap (2019) - New Misspecification Tests for Multinomial Logit Models - [link]
- Koen Bel, Dennis Fok & Richard Paap (2018) - Parameter Estimation in Multivariate Logit Models with Many Binary Choices - Econometric Reviews, 37 (5), 534-550 - doi: 10.1080/07474938.2015.1093780 - [link]
- Aiste Ruseckaite, PP Goos & Dennis Fok (2017) - Bayesian D-optimal choice designs for mixtures - Journal of the Royal Statistical Society. Series C, Applied Statistics, 66 (2), 363-386 - doi: 10.1111/rssc.12174
- Dennis Fok (2017) - Advanced Individual Demand Models - doi: 10.1007/978-3-316-53469-5
- Bruno Jacobs, Bas Donkers & Dennis Fok (2016) - Model-based Purchase Predictions for Large Assortments - Marketing Science, 35 (3), 389-404 - doi: 10.1287/mksc.2016.0985
- Dennis Fok, Stefan Stremersch & Yvonne van Everdingen (2010) - ERIM Top Article Award
Erasmus Quantitave Intelligence
- Begindatum goedkeuring
- juli 2019
- Einddatum goedkeuring
- juli 2022
- Plaats
- ROTTERDAM
- Beschrijving
- Research and teaching
Autoriteit Consument en Markt
- Begindatum goedkeuring
- november 2019
- Einddatum goedkeuring
- november 2022
- Plaats
- S'-GRAVENHAGE
- Beschrijving
- Lid onderzoeksadviescommissie
Advanced Marketing Models
- Level
- master
- Year
- 2021
- Year Level
- master
- Course Code
- FEM21024
Major & Master Orientation(econometrics)
- Year
- 2021
- Course Code
- FEB62010
Seminar Case Studies in QMarketing
- Level
- master
- Year
- 2021
- Year Level
- master
- Course Code
- FEM21001
Internship Hub
- Year
- 2021
- Course Code
- FEB63017
Thesis Hub Bachelor Econometrics & OR
- Year
- 2021
- Course Code
- FEB63007
Thesis Hub BSc2 Econometrics / Economics
- Year
- 2021
- Course Code
- FEB63008