Quantitative Models in Marketing Research

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.

• List of figures; List of tables; Preface; 1. Introduction and outline of the book; 2. Features of marketing research data; 3. A continuous dependent variable; 4. A binomial dependent variable; 5. An unordered multinomial dependent variable; 6. An ordered multinomial dependent variable; 7. A limited dependent variable; 8. A duration dependent variable; Appendix; Bibliography; Author index; Subject index.

Review of the hardback: 'The senior author is a well-known and highly respected applied econometrician working on marketing problems. Quantitative Models in Marketing Research reflects the authors' expertise and experience to provide concise coverage of an underused set of useful marketing tools. I recommend that marketing scientists have this book on their bookshelves.' Journal of Marketing Research