Discrete choice methods with simulation /

"This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered:...

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Bibliographic Details
Main Author: Train, Kenneth (Author)
Format: eBook
Language:English
Published: Cambridge ; New York : Cambridge University Press, 2009.
Edition:2nd ed.
Subjects:
Online Access:CONNECT
CONNECT
Description
Summary:"This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. 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. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. This second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing."--Pub. desc
Physical Description:1 online resource (x, 388 pages) : illustrations
Bibliography:Includes bibliographical references (pages 371-383) and index.
ISBN:9780511595356
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0511592493
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