prof.dr. D (Dennis) Fok

Biography

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.

Erasmus School of Economics

Full professor | Econometrics
Email
dfok@ese.eur.nl

Work

  • Annika Schnucker, Dennis Fok & Kathrin Gruber (2022) - ERS IASC Young Researchers Award
  • Dennis Fok, Stefan Stremersch & Yvonne van Everdingen (2010) - ERIM Top Article Award

Erasmus Quantitave Intelligence

Start date approval
november 2022
End date approval
november 2025
Place
ROTTERDAM
Description
Research and teaching

Autoriteit Consument en Markt

Start date approval
september 2024
End date approval
december 2025
Place
S'-GRAVENHAGE
Description
Lid onderzoeksadviescommissie

Internship Hub

Year
2024
Course Code
FEB63017

Advanced Marketing Models

Year
2024
Course Code
FEM21024

Thesis Hub Bachelor Econometrics & OR

Year
2024
Course Code
FEB63007H

Thesis Hub BSc2 Econometrics / Economics

Year
2024
Course Code
FEB63008H

Major & Master Orientation(econometrics)

Year
2024
Course Code
FEB62010

  • Carlos Hernandez Mireles

    Marketing Modeling for New Products
  • Yuri Peers

    Econometric Advances in Diffusion Models
  • Evsen Korkmaz

    Bridging Models and Business: Understanding heterogeneity in hidden drivers of customer purchase behavior
  • Baris Depecik

    Revitalizing Brand and Brand Portfolios: Essays on Brand and Brand Portfolio Management Strategies
  • Pieter Schoonees

    Methods for Modelling Response Styles
  • Wei Li

    Competition in the Retail Market of Consumer Packaged Goods
  • Bruno Jacobs

    Marketing Analytics for High-Dimensional Assortments
  • Gertjan van den Burg

    Algorithms for Multiclass Classification and Regularized Regression
  • Thai Young Kim

    Data-driven Warehouse Management in Global Supply Chains
  • Luuk van Maasakkers

    Marketing modelling for large-scale assortments
  • Anoek Castelein

    Advanced individual response models
  • Xun Gong

    forecasting implied volatility surface
  • Kars Iddo Maik Schouten

    Semantics-Driven Aspect-Based Sentiment Analysis
  • Eric Slob

    Integrating Genetics into Economics

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