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Applied Choice Analysis: A Primer | 
 enlarge | Authors: David A. Hensher, John M. Rose, William H. Greene
Publisher: Cambridge University Press
Category: Book
List Price: $67.00
Buy New: $43.88
You Save: $23.12 (35%)
New (12) Used (7) from $43.88
Rating:  2 reviews
Sales Rank: 393939
Media: Paperback
Pages: 742
Number Of Items: 1
Shipping Weight (lbs): 3.1
Dimensions (in): 9.8 x 6.9 x 1.8
ISBN: 0521605776
Dewey Decimal Number: 658.4033
EAN: 9780521605779
Publication Date: August 29, 2005
Availability: Usually ships in 1-2 business days
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Product Description
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.
Book Description
In recent years there has been a 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 detail on data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website provides practice data sets and software to apply modeling and data skills presented in the book. An invaluable resource to students and of value to anyone interested in choice analysis and modelling.
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| Customer Reviews:
 Everything you need to learn to carry out a choice model October 17, 2005
Eric (San Pedro, CA)
7 out of 11 found this review helpful
This book is massive, and hence the term "primer" may be a little misleading. But if you really want to understand how to model choice data for a range of models, the book is outstanding. Other books focus more on the econometrics of the models, which are pivotal to know. But this book builds upon that by walking you through a series of increasingly-complex models, allowing you to understand why you need to perform particular modeling tasks.
The book focuses on NLogit software, but once you understand how to actually estimate choice models utilizing software, the skills can be easily carried into other software programs. However, without such experience, the other books available may fall short in enabling you to estimate choice models. Indeed, this was the case for me -- I understood the econometrics of the models, but had difficulty estimating complex models using software, simply beacuse I was uncomfortable with the syntax.
Hensher et al. removes this obstacle by giving the reader thorough training in both understanding what a given set of choice data may represent (e.g., observations from a particular choice experiment), and how to physically estimate models. The increase in confidence I received from working through the exercises in the book is why I rate the book so highly. Not only are the econometric concepts explained, but the nuts and bolts of model estimation are revealed, and that made all the difference.
 An ambiguous oriented book October 5, 2005
Jesse Y C (philly)
15 out of 19 found this review helpful
The whole book serves as a software (NLogit) manual. If you already know about the discrete choice analysis, you might be able to find out the messages that the authors try to convey. And it contains barely new information, so it doesn't help you anyway. But if you are new to this area, this is not the good book for you to start.
The book is extremely verbose and the ideas are hidden behind lines and ill-presented. It turned out that it's very difficult to comprehend the essence or even sense of the choice methods from this book. The best one can get is becoming a software user of the authors' own program.
Besides, the software, Nlogit, is not user-friendly and can't serve as a mainsteam tool.
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