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Applied Choice Analysis
A Primer


  • Date Published: August 2005
  • availability: Available
  • format: Paperback
  • isbn: 9780521605779


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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
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    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: Available
  • 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

  • Resources for

    Applied Choice Analysis

    David A. Hensher, John M. Rose, William H. Greene

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  • 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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