Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation
by Kenneth E. Train

Discrete Choice Methods with Simulation
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Book Summary Information

Author: Kenneth E. Train
Edition: Paperback
Audio: English (Unknown); English (Original Language); English (Published)
Published: 2003-01-13
ISBN: 0521017157
Number of pages: 342
Publisher: Cambridge University Press

Book Reviews of Discrete Choice Methods with Simulation

Book Review: excellent discussion of what the models mean
Summary: 5 Stars

If I could give this book six stars I would. It's simply one of the best statistics books I've ever read.

This book is very well-written by one of the experts in the field. It covers logit models and the various generalizations (GEV, mixed logit, probit, etc.) in detail, along with a thorough discussion of modern estimation of these models. What I find most useful about it is that the words-to-equations density is highly favorable. The equations you need are there, but the words you need are there too, making sure you understand the model assumptions inside and out. Each equation is explained thoroughly and the surrounding discussion probes the model to bring the reader to a critical understanding of what exactly is implied by the model. Too often complex statistical models are treated in a "black box" fashion. The dirty little secret is that it's easier for the author to do this. Train doesn't take the easy way out. The fact that his web site has truly excellent support--including a large number of webinars in addition to the more usual papers, software, etc.--makes this book a doubly valuable item. See http://elsa.berkeley.edu/~train/distant.html for even more.

Summary of Discrete Choice Methods with Simulation

Focusing on the many advances that are made possible by simulation, this book describes the new generation of discrete choice methods. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

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