Quantitative Models in Marketing Research

Recent advances in data collection and data storage techniques enable marketing researchers to study the individual characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics. This book presents the most important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the latest methodological developments in the academic literature. Pathways are offered in the book for students and practitioners with differing numerical skill levels; a basic knowledge of elementary numerical techniques is assumed.

Author Biography

Philip Hans Franses is Professor of Applied Econometrics affiliated with the Econometric Institute and Professor of Marketing Research affiliated with the Department of Marketing and Organization, both at the Erasmus University Rotterdam. He holds a PhD (1991) from the same university. His research interests cover applied econometrics, time series analysis, empirical finance, marketing research and political science. He has published on these topics in international journals and in various books, including ‘Time series models for business and economic forecasting’, and as co-author with Dick van Dijk of ‘Nonlinear time series models in empirical finance’ (both with Cambridge University Press). Richard Paap is Postdoctoral Researcher with the Rotterdam Institute for Business Economic Studies, at the Erasmus University Rotterdam. He obtained his PhD in 1997 from the same university. His research interests cover applied (macro-)econometrics, Bayesian statistics, time series analysis, and marketing research. He has published on these topics in various international journals.