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Modeling Ordered Choices

Modeling Ordered Choices

Modeling Ordered Choices

A Primer
William H. Greene, New York University
David A. Hensher, University of Sydney
April 2010
Available
Paperback
9780521142373

    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

    Reviews & endorsements

    'An outstanding and timely resource on ordered-response choice modeling that takes readers through the history of such models, and develops a clear taxonomy to position the many generalizations and variants of the standard ordered-response model. Bill Greene and David Hensher have done a masterful job in navigating through, and weaving together, the maze of developments and applications in a diversity of fields. The objective perspectives of the literature provide rich guidance for both the researcher as well as the practitioner. This book is literally a one-stop reference resource on ordered-choice modeling that is at once comprehensive, lucid, insightful, and accessible. A 'must-have' in the bookshelves of anyone wanting to learn about and apply ordered-choice modeling techniques!' Chandra Bhat, University of Texas, Austin

    'Theorists and practicing researchers will want to have this text in their working library. It is very well researched, employing examples and interpretation for ordered choice models ranging from the basic to the newest state-of-art methods. I highly recommend this text without reservations.' Joseph M. Hilbe, Arizona State University

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    Product details

    April 2010
    Paperback
    9780521142373
    382 pages
    247 × 175 × 20 mm
    0.76kg
    33 b/w illus. 63 tables
    Available

    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.