Applied Choice Analysis

Business & Finance, Economics, Econometrics, Statistics
Cover of the book Applied Choice Analysis by David A. Hensher, John M. Rose, William H. Greene, Cambridge University Press
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Author: David A. Hensher, John M. Rose, William H. Greene ISBN: 9781316289723
Publisher: Cambridge University Press Publication: June 11, 2015
Imprint: Cambridge University Press Language: English
Author: David A. Hensher, John M. Rose, William H. Greene
ISBN: 9781316289723
Publisher: Cambridge University Press
Publication: June 11, 2015
Imprint: Cambridge University Press
Language: English

The second edition of this popular book brings students fully up to date with the latest methods and techniques in choice analysis. Comprehensive yet accessible, it offers a unique introduction to anyone interested in understanding how to model and forecast the range of choices made by individuals and groups. In addition to a complete rewrite of several chapters, new topics covered include ordered choice, scaled MNL, generalized mixed logit, latent class models, group decision making, heuristics and attribute processing strategies, expected utility theory, and prospect theoretic applications. Many additional case studies are used to illustrate the applications of choice analysis with extensive command syntax provided for all Nlogit applications and datasets available online. With its unique blend of theory, estimation, and application, this book has broad appeal to all those interested in choice modeling methods and will be a valuable resource for students as well as researchers, professionals, and consultants.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The second edition of this popular book brings students fully up to date with the latest methods and techniques in choice analysis. Comprehensive yet accessible, it offers a unique introduction to anyone interested in understanding how to model and forecast the range of choices made by individuals and groups. In addition to a complete rewrite of several chapters, new topics covered include ordered choice, scaled MNL, generalized mixed logit, latent class models, group decision making, heuristics and attribute processing strategies, expected utility theory, and prospect theoretic applications. Many additional case studies are used to illustrate the applications of choice analysis with extensive command syntax provided for all Nlogit applications and datasets available online. With its unique blend of theory, estimation, and application, this book has broad appeal to all those interested in choice modeling methods and will be a valuable resource for students as well as researchers, professionals, and consultants.

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