Research Catalog

Title

Discrete choice methods with simulation / Kenneth E. Train.

Author

Train, Kenneth.

Publication

New York : Cambridge University Press, [2003], ©2003.

Supplementary Content

Publisher description

Items in the Library & Off-site

Holdings

Details

Description

vii, 334 pages : illustrations; 24 cm

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 (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum simulated likelihood, the method of simulated moments, and the method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as antithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. No other book incorporates all these topics, which have risen in the past 20 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing."--BOOK JACKET.

Subjects

• Computersimulaties
• Simulação de sistemas
• Prise de décision > Simulation, Méthodes de
• Besluitvorming
• Consommateurs > Préférences > Simulation, Méthodes de
• Decision making > Simulation methods
• Consumers' preferences > Simulation methods

Bibliography (note)

• Includes bibliographical references and index.

Contents

1. Introduction -- 2. Properties of Discrete Choice Models -- 3. Logit -- 4. GEV -- 5. Probit -- 6. Mixed Logit -- 7. Variations on a Theme -- 8. Numerical Maximization -- 9. Drawing from Densities -- 10. Simulation-Assisted Estimation -- 11. Individual-Level Parameters -- 12. Bayesian Procedures.

ISBN

• 0521816963
• 9780521816960
• 0521017157 (pb.)
• 9780521017152 (pb.)

LCCN

2002071479

OCLC

• ocm49805906
• 49805906
• SCSB-5428704

Owning Institutions

Columbia University Libraries