Prof. dr. D. (Dennis) Fok

Full Professor

Department of Econometrics

Erasmus School of Economics (ESE)

Erasmus University Rotterdam

Fellow ERIM

Field: Marketing

Affiliated since 1999

T: +31 10 4081333

E: dfok@ese.eur.nl

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.

Publications (33)

Articles (27)

D. Fok, A.J. van Stel, A.E. Burke & A.R. 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
A. Ruseckaite, D. Fok & P.P. Goos (2018). Flexible Mixture-Amount Models Using Multivariate Gaussian Processes. Journal of Business & Economic Studies, 1-15. doi: 10.1080/07350015.2018.1497506
A. Ruseckaite, P.P. Goos & D. 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
K. Bel, D. Fok & R. Paap (2017). Parameter Estimation in Multivariate Logit Models with Many Binary Choices (forthcoming). Econometric Reviews, 37 (5), 534-550. doi: 10.1080/07474938.2015.1093780
B.J.D. Jacobs, B. Donkers & D. Fok (2016). Model-based Purchase Predictions for Large Assortments. Marketing Science, 35 (3), 389-404. doi: 10.1287/mksc.2016.0985
D. Fok, R. Paap & P.H.B.F. Franses (2014). Incorporating Responsiveness to Marketing Effort in Brand Choice Modeling. Econometrics, 2 (1), 20-44. doi: 10.3390/econometrics2010020
A. de Palma, M. Abdellaoui, G. Attanasi, M. Ben-Akiva, I. Erev, H. Fehr-Duda, D. Fok, C. Fox, R. Hertwig, N. Picard, P.P. Wakker, J. Walker & M. Weber (2014). Beware of Black Swans: Taking stock of the description - experience gap in decision under uncertainty. Marketing Letters, 25 (3), 269-280. doi: 10.1007/s11002-014-9316-z
M. Dorotic, P.C. Verhoef, D. Fok & T.H.A. Bijmolt (2014). Reward redemption effects in a loyalty program when customers choose how much and when to redeem. International Journal of Research in Marketing, 31 (4), 339-355. doi: 10.1016/j.ijresmar.2014.06.001
C. Horvath & D. Fok (2013). Moderating Factors of Immediate, Gross, and Net Cross-brand Effects of Price Promotions. Marketing Science, 32 (1), 127-152. doi: 10.1287/mksc.1120.0748
D. Fok & P.H.B.F. Franses (2013). Testing earnings management. Statistica Neerlandica, 67 (3), 281-292. doi: 10.1111/stan.12007
Y. Peers, D. Fok & P.H.B.F. Franses (2012). Modeling Seasonality in New Product Diffusion. Marketing Science, 31 (2), 351-364. doi: 10.1287/mksc.1110.0696
D. Fok, R. Paap & P.H.B.F. Franses (2012). Modeling Dynamic Effects of Promotion on Interpurchase Times. Computational Statistics & Data Analysis, 56 (11), 3055-3069. doi: 10.1016/j.csda.2012.03.022
D. Fok, R. Paap & A. van Dijk (2012). A Rank-Ordered Logit Model with Unobserved Heterogeneity in Ranking Capabilities. Journal of Applied Econometrics, 27 (5), 831-846. doi: 10.1002/jae.1223
M. Dorotic, D. Fok, P.C. Verhoef & T.H.A. Bijmolt (2011). Do Vendors Benefit From Promotions in a Multi-Vendor Loyalty Program? Marketing Letters, 22 (4), 341-356. doi: 10.1007/s11002-010-9128-8
D. Fok & R. Paap (2009). Modeling category-level purchase timing with brand-level marketing variables. Journal of Applied Econometrics, 24 (3), 469-489. doi: 10.1002/jae.1059
Y.M. van Everdingen, D. Fok & S. Stremersch (2009). Modeling Global Spillover of New Product Takeoff. Journal of Marketing Research, 46 (5), 637-652. doi: 10.1509/jmkr.46.5.637
E. van Nierop, D. Fok & P.H.B.F. Franses (2008). Interaction between shelf layout and marketing effectiveness and its impact on optimizing shelf arrangements. Marketing Science, 27 (6), 1065-1082. doi: 10.1287/mksc.1080.0365
D. Fok, P.H.B.F. Franses & R. Paap (2007). Seasonality and non-linear price effects in scanner-data based market-response models. Journal of Econometrics, 138 (1), 231-251. doi: 10.1016/j.jeconom.2006.05.021
D. Fok & P.H.B.F. Franses (2007). Modeling the diffusion of scientific publications. Journal of Econometrics, 139 (2), 376-390. doi: 10.1016/j.jeconom.2006.10.021
L.M. Sloot, D. Fok & P.C. Verhoef (2006). The Short- and Long-Term Impact of an Assortment Reduction on Category Sales. Journal of Marketing Research, 43 (4), 536-548. doi: 10.1509/jmkr.43.4.536
D. Fok, C. Horvath, R. Paap & P.H.B.F. Franses (2006). A hierarchical Bayes error correction model to explain dynamic effects of price changes. Journal of Marketing Research, 43 (3), 443-461. doi: 10.1509/jmkr.43.3.443
D. Fok, D.J.C. van Dijk & P.H.B.F. Franses (2005). Forecasting aggregate using panels of nonlinear time series. International Journal of Forecasting, 21 (4), 785-794. doi: 10.1016/j.ijforecast.2005.04.015
Y.M. van Everdingen, W.B. Aghina & D. Fok (2005). Forecasting cross-population innovation diffusion: A Bayesian approach. International Journal of Research in Marketing, 22 (3), 293-308. doi: 10.1016/j.ijresmar.2004.11.003
D. Fok, D.J.C. van Dijk & P.H.B.F. Franses (2005). A multi-level panel STAR model for US manufacturing sectors. Journal of Applied Econometrics, 20 (6), 811-827. doi: 10.1002/jae.822
D. Fok & P.H.B.F. Franses (2004). Analyzing the effects of a brand introduction on competitive structure using a market share attraction model. International Journal of Research in Marketing, 21 (2), 159-177. doi: 10.1016/j.ijresmar.2003.09.001
D. Fok & P.H.B.F. Franses (2002). Ordered logit analysis for selectively sampled data. Computational Statistics & Data Analysis, 40 (3), 477-497. doi: 10.1016/S0167-9473(02)00063-4
D. Fok & P.H.B.F. Franses (2001). Forecasting market shares from models for sales. International Journal of Forecasting, 17 (1), 121-128. doi: 10.1016/S0169-2070(00)00075-3

Book Contributions (3)

D. Fok (2017). Advanced Individual Demand Models. In P.S.H Leeflang, J.E. Wieringa, T.H.A. Bijmolt, & K.H. Pauwels (Eds.), Advanced Methods for Modeling Markets (International Series in Quantitative Marketing) (pp. 31-86). Switzerland: Springer doi: 10.1007/978-3-316-53469-5
D. Fok, P.H.B.F. Franses & R. Paap (2006). Performance of seasonal adjustment procedures: simulation and empirical results. In T.C. Mills & K. Patterson (Eds.), Palgrave Handbook of Econometrics, Volume 1, Econometric Theory (pp. 1035-1055). Basingstoke: Palgrave MacMillan
D. Fok, P.H.B.F. Franses & R. Paap (2002). Econometric analysis of the market share attraction model. In P.H.B.F. Franses & A.L. Montgomery (Eds.), Advances in econometrics: Econometric models in marketing, chapter 10 (Advances in Econometrics, 16) (pp. 223-256). Amsterdam: JAI Press

Doctoral Thesis

D. Fok (2003, november 6). Advanced econometric marketing models. Erasmus University Rotterdam (186 pag.) (Rotterdam: Erasmus Research Institute of Management (PhD Serie 027)) Prom./coprom.: prof.dr. P.H.B.F. Franses.