Advanced Methods for Modeling Markets

Part I. Introduction

1. Advanced Methods for Modeling Markets (AMMM)
Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels

Part II. Specification

2. Advanced Individual Demand Models
Dennis Fok

3. Traditional Time-Series Models
Koen H. Pauwels

4. Modern (Multiple) Time Series Models: The Dynamic System
Koen H. Pauwels

5. State Space Models
Ernst C. Osinga

6. Spatial Models
J. Paul Elhorst

7. Structural Models
Paulo Albuquerque, Bart J. Bronnenberg

8. Mediation Analysis: Inferring Causal Processes in Marketing from Experiments
Rik Pieters

9. Modeling Competitive Responsiveness and Game Theoretic Models
Peter S. H. Leeflang

10. Diffusion and Adoption Models
Peter S. H. Leeflang, Jaap E. Wieringa

Part III. Modeling with Latent Variables

11. Structural Equation Modeling
Hans Baumgartner, Bert Weijters

12. Partial Least Squares Path Modeling
Jörg Henseler

13. Mixture Models
Jeroen K. Vermunt, Leo J. Paas

14. Hidden Markov Models in Marketing
Oded Netzer, Peter Ebbes, Tammo H. A. Bijmolt

Part IV. Estimation Issues

15. Generalized Method of Moments
Tom J. Wansbeek

16. Bayesian Analysis
Elea McDonnell Feit, Fred M. Feinberg, Peter J. Lenk

17. Non- and Semiparametric Regression Models
Harald J. Heerde

18. Addressing Endogeneity in Marketing Models
Dominik Papies, Peter Ebbes, Harald J. Heerde

Part V. Expected Developments

19. Machine Learning and Big Data
Raoul V. Kübler, Jaap E. Wieringa, Koen H. Pauwels

20. The Future of Marketing Modeling
Koen H. Pauwels, Peter S. H. Leeflang, Tammo H. A. Bijmolt, Jaap E. Wieringa

Keywords: Business and Management, Market Research/Competitive Intelligence, Operations Research/Decision Theory