Applied Choice Analysis

Author:   David A. Hensher (University of Sydney) ,  John M. Rose (University of Sydney) ,  William H. Greene (New York University)
Publisher:   Cambridge University Press
Edition:   2nd Revised edition
ISBN:  

9781107465923


Pages:   1216
Publication Date:   11 June 2015
Format:   Paperback
Availability:   Available To Order   Availability explained
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Applied Choice Analysis


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Author:   David A. Hensher (University of Sydney) ,  John M. Rose (University of Sydney) ,  William H. Greene (New York University)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Edition:   2nd Revised edition
Dimensions:   Width: 17.60cm , Height: 5.10cm , Length: 24.60cm
Weight:   2.370kg
ISBN:  

9781107465923


ISBN 10:   1107465923
Pages:   1216
Publication Date:   11 June 2015
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Preface; Part I. Getting Started: 1. In the beginning; 2. Choosing; 3. Choice and utility; 4. Families of discrete choice models; 5. Estimating discrete choice models; 6. Experimental design and choice experiments; 7. Statistical inference; 8. Other matters that analysts often inquire about; Part II. Software and Data: 9. Nlogit for applied choice analysis; 10. Data set up for Nlogit; Part III. The Suite of Choice Models: 11. Getting started modeling: the workhorse - multinominal logit; 12. Handling unlabeled discrete choice data; 13. Getting more from your model; 14. Nested logit estimation; 15. Mixed logit estimation; 16. Latent class models; 17. Binary choice models; 18. Ordered choices; 19. Combining sources of data; Part IV. Advanced Topics: 20. Frontiers of choice analysis; 21. Attribute processing, heuristics, and preference construction; 22. Group decision making; Select glossary; References; Index.

Reviews

Advance praise: 'This is an enormous book, covering in extraordinary detail all the topics selected by these respected authors. It represents a substantial update and renewal of the material covered in the first edition. In my opinion it should be on the shelves of anyone dealing with discrete choice models.' Juan de Dios Ortuzar Salas, Pontificia UniversiMaydad Catolica de Chile Advance praise: 'Choice modelling is a very active and rapidly evolving field, with applications across numerous disciplines. The first edition of Applied Choice Analysis accomplished the major task of making the breadth of work accessible to a wide audience, with hands on examples provided throughout. Nine years on, the field has developed further, and David A. Hensher, John M. Rose and William H. Greene have again performed a remarkable job in explaining these new methods without unnecessary jargon and complexity, helping to educate the next generation of choice modellers and striking exactly the right balance between theory and practice.' Stephane Hess, University of Leeds Advance praise: 'The new edition of this already very popular book provides substantial added value to readers. Applied choice analysis has now been extended to include all recent developments. More intuition and further clarifications have been added. The examples provided cover thoroughly the range of case study applications. This book will work perfectly as a step-by-step introduction for the neophite as well as a core reference for the practitioner. The authors have managed to strike the right balance between practicality and accuracy, without subtracting much of the econometric details.' Riccardo Scarpa, Gibson Chair for MayFood, Rural and Environmental Economics, Queens University Belfast Advance praise: 'I cannot imagine a better introduction to choice modeling. The authors manage to bring a vivid, storytelling voice to this complex topic, with language that has personality and rhythm. The various interrelated concepts and procedures that constitute choice modeling come across as simple and straightforward. An amazing feat. The ins-and-outs of a computer code are also taught along with the statistical methods. This integration of computer language within the text is unusual and highly valuable, giving readers all the steps that are needed to implement the methods on their own data.' Kenneth Train, Adjunct Professor, University of California, Berkeley


Author Information

David A. Hensher is Professor of Management, and Founding Director of the Institute of Transport and Logistics Studies (ITLS) at The University of Sydney Business School. John M. Rose was previously Professor of Transport and Logistics Modelling at the Institute of Transport and Logistics Studies (ITLS) at the University of Sydney Business School and moved to The University of South Australia as co-director of the Institute for Choice in early March 2014. William H. Greene is the Robert Stansky Professor of Economics at the Stern School of Business, New York University.

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