Summaries and Customer Reviews are supplied by Amazon.com
Summary:
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.
Customer Reviews:
Average Customer Rating:
Everything you need to learn to carry out a choice model
Customer Rating:
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
Customer Rating:
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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