Applied Choice Analysis

A Primer

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.


"...this book should be required reading for anybody who carries out (or hopes to carry out) serious choice analysis. I cannot think of any choice study, including most of the ones in which I have participated, that could not be improved by following the practical advice given in thsi book. After years of teaching some of this material to economics graduate students, I have a mental list of "stupid" mistakes that most of them will make. This book not only lists almost all of these mistakes, it carefully explains why they are mistakes and shows how to avoid them." - Journal of the American Statistical Association David Brownstone, University of California, Irvine

'With all knowledge, the fundamental concepts constitute the most important part of learning. Hensher et al. have taken this to heart and done a superb job here in explaining the trickiest of discrete choice survey and analysis concepts in a simple, elegant, and intuitive fashion. This book, written by leading authorities in the discrete choice field, is required reading not only for beginners, but also for those experienced researchers who would like to clarify basic concepts. It is a much-needed and welcome addition to a field that is seeing a literal revolution in the analyst's ability to incorporate and estimate realistic behavioral structures. The book holds the hands of readers and walks them through the new developments in the field. Let it not be said any more that the recent advances in discrete choice analysis are beyond the reach of all but the nerdiest of researchers!' Chandra Bhat, University of Texas, Austin