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Applied Choice Analysis
A Primer

$87.00 (Z)

  • Date Published: August 2005
  • availability: Manufactured on demand: supplied direct from the printer
  • format: Paperback
  • isbn: 9780521605779

$87.00 (Z)

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About the Authors
  • In recent years, there has been growing interest in the development and application of quantitative statistical methods to study choices made by individuals. This primer provides an introduction to the main techniques of choice analysis and also includes details on data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website offers practice data sets and software to apply modeling and data skills presented in the book.

    • Was the first book to help individuals new to the theory and practice of choice analysis
    • Data and statistical software available to apply all the modeling and data skills presented in the book
    • The book and software is ready made for undergraduate and post graduate courses as well as short courses and is portable throughout the world
    Read more

    Reviews & endorsements

    "...this book should be required reading for anybody who carries out (or hopes to carry out) serious choice analysis. I cannot think of any choice study, including most of the ones in which I have participated, that could not be improved by following the practical advice given in thsi book. After years of teaching some of this material to economics graduate students, I have a mental list of "stupid" mistakes that most of them will make. This book not only lists almost all of these mistakes, it carefully explains why they are mistakes and shows how to avoid them." - Journal of the American Statistical Association David Brownstone, University of California, Irvine

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    Product details

    • Date Published: August 2005
    • format: Paperback
    • isbn: 9780521605779
    • length: 744 pages
    • dimensions: 244 x 170 x 38 mm
    • weight: 1.17kg
    • contains: 108 tables
    • availability: Manufactured on demand: supplied direct from the printer
  • Table of Contents

    1. In the beginning
    2. Basic notations of statistics
    3. Choosing
    4. Paradigms of choice data
    5. Processes in setting up stated choice experiments
    6. Choices in data collection
    7. Nlogit for applied choice analysis: a primer
    8. Handling choice data
    9. Case study: model choice data
    10. Getting started modelling: the workhorse - MNL
    11. Getting more from your model
    12. Practical issues in the application of choice models
    13. Allowing for similarity of alternatives
    14. Nested logit estimation
    15. The mixed logit model
    16. Mixed logit estimation
    Nlogit terms and commands

  • general resources

    View all resources
    Group Section Name Type Size Sort Order filter vars
    General ResourcesDecision Support Systemzip4872KB0 general resources general resources general resourcesgeneral resources
    General ResourcesInstructions for Synthetic Household Generatordoc28KB1 general resources general resources general resourcesgeneral resources
    General ResourcesInstructions for Decision Support Systemdoc29KB2 general resources general resources general resourcesgeneral resources
    General ResourcesIntroduction to the Resourcesdoc27KB3 general resources general resources general resourcesgeneral resources
    General ResourcesSynthetic HHzip994KB4 general resources general resources general resourcesgeneral resources

    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email

  • Authors

    David A. Hensher, University of Sydney
    David A. Hensher is Director of the Institute of Transport Studies and Professor of Management in the Faculty of Economics and Business at the University of Sydney.

    John M. Rose, Institute of Transport Studies, Sydney
    John M. Rose is a Lecturer at the Institute of Transport Studies at the University of Sydney.

    William H. Greene, New York University
    William H. Greene is Professor of Economics and Entertainment and Media Faculty Fellow in the Department of Economics at the Stern School of Business, New York University.

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