Stated Choice Methods: Analysis and Applications

Stated Choice Methods: Analysis and Applications

by Jordan J. Louviere, David A. Hensher, Joffre D. Swait
     
 

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ISBN-10: 0521788307

ISBN-13: 9780521788304

Pub. Date: 09/28/2000

Publisher: Cambridge University Press

Understanding and predicting the behavior of decision makers when choosing among discrete goods has been one of the most fruitful areas of applied research over the past thirty years. An understanding of individual consumer behavior can lead to significant changes in product or service design, pricing strategy, distribution channel and communication strategy

Overview

Understanding and predicting the behavior of decision makers when choosing among discrete goods has been one of the most fruitful areas of applied research over the past thirty years. An understanding of individual consumer behavior can lead to significant changes in product or service design, pricing strategy, distribution channel and communication strategy selection, as well as public welfare analysis. This book is a reference work dealing with the study and prediction of consumer choice behavior, concentrating on stated preference (SP) methods. It shows how SP methods can be implemented, from experimental design to econometric modeling. The book also presents an update of econometric approaches to choice modeling.

Product Details

ISBN-13:
9780521788304
Publisher:
Cambridge University Press
Publication date:
09/28/2000
Edition description:
New Edition
Pages:
418
Product dimensions:
6.85(w) x 9.72(h) x 0.87(d)

Table of Contents

1. Choosing as a way of life; Appendix A1. Choosing a residential telecommunications bundle; 2. Introduction to stated preference models and methods; 3. Choosing a choice model; Appendix A3. Maximum likelihood estimation technique; Appendix B3. Linear probability and generalised least squares models; 4. Experimental design; 5. Design of choice experiments; Appendix A5. 6. Relaxing the IID assumption-introducing variants of the MNL model; Appendix A6. Detailed characterisation of the nested logit model; Appendix B6. Advanced discrete choice methods; 7. Complex, non-IID multiple choice designs; 8. Combining sources of preference data; 9. Implementing SP choice behaviour projects; 10. Marketing case studies; 11. Transportation case studies; 12. Environmental valuation case studies; 13. Cross and external validity of SP models.

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