Choice modelling is an area of growing popularity as many researchers and consultants seek to find better ways to explain the choices made by individuals, households and firms in many application contexts such as transportation, health services, environmental science, marketing, finance, economics, tourism, education, employment and taking a vacation. Choice modelling as a field begin as long ago as 1927 but it was the research in the 1960s and 1970s that cemented the field a dominant one for studying choice. This authoritative volume, along with an original introduction by the editors, brings together seminal papers that laid out the main features of the booming literature on discrete choice modelling. This timely collection will be of immense value to anyone with an interest in this evolving field of study.

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.