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Modeling Ordered Choices
A Primer

$55.00

textbook
  • Date Published: May 2010
  • availability: In stock
  • format: Paperback
  • isbn: 9780521142373

$55.00
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About the Authors
  • It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.

    • A complete synthesis of the literature on ordered choices over the last fifty years
    • Includes many examples of the application of ordered choice models across many disciplines, such as finance, transport, environmental policy and health policy
    • Provides new extensions of ordered choice models enabling the reader to identify the new frontiers of research and applications
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    Product details

    • Date Published: May 2010
    • format: Paperback
    • isbn: 9780521142373
    • length: 382 pages
    • dimensions: 247 x 175 x 20 mm
    • weight: 0.76kg
    • contains: 33 b/w illus. 63 tables
    • availability: In stock
  • Table of Contents

    List of tables
    List of figures
    Preface
    1. Introduction: random utility and ordered choice models
    2. Modeling binary choices
    3. A model for ordered choices
    4. Antecedents and contemporary counterparts
    5. Estimation, inference and analysis using the ordered choice model
    6. Specification issues in ordered choice models
    7. Accommodating individual heterogeneity
    8. Parameter variation and a generalized ordered choice model
    9. Ordered choice modeling with panel and time series data
    10. Bivariate and multivariate ordered choice models
    11. Two part and sample selection models
    12. Semiparametric and nonparametric estimators and analyses
    References
    Index.

  • Authors

    William H. Greene, New York University
    William H. Greene is Professor of Economics and Toyota Motor Corp. Professor at the Stern School of Business, New York University.

    David A. Hensher, University of Sydney
    David A. Hensher is Professor of Management and Director of the Institute of Transport and Logistics at the University of Sydney.

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