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Stated Choice Methods

Stated Choice Methods
Analysis and Applications

$89.99 (P)

  • Date Published: October 2000
  • availability: Available
  • format: Paperback
  • isbn: 9780521788304

$ 89.99 (P)

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About the Authors
  • 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.

    • Guide to significant method of analyzing consumer choice
    • Explains hoe to design experiments and model results, and how to combine stated choice and revealed choice approaches
    • Has applications for business, strategic planning and public economics
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    Reviews & endorsements

    "It can be recommended not only as an excellent reference book, but also as an excellent textbook." Mathematical Reviews

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    Product details

    • Date Published: October 2000
    • format: Paperback
    • isbn: 9780521788304
    • length: 420 pages
    • dimensions: 241 x 170 x 23 mm
    • weight: 0.68kg
    • contains: 110 tables
    • availability: Available
  • 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.

  • Authors

    Jordan J. Louviere, University of South Australia

    David A. Hensher, University of Sydney

    Joffre D. Swait, University of Florida

    With contributions by

    Wiktor Adamowicz

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