Discrete Choice Methods with Simulation

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9780521747387: Discrete Choice Methods with Simulation
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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.

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This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Each of the major models is covered including logit, generalized extreme value, or GEV, probit, and mixed logit, plus a variety of specifications that build on these basics.

Contenuti:

1. Introduction; Part I. Behavioral Models: 2. Properties; 3. Logit; 4. GEV; 5. Probit; 6. Mixed logit; 7. Variations on a theme; Part II. Estimation: 8. Numerical maximization; 9. Drawing from densities; 10. Simulation-assisted estimation; 11. Individual-level parameters; 12. Bayesian procedures; 13. Endogeneity; 14. EM algorithms.

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Altre edizioni note dello stesso titolo

9780521816960: Discrete Choice Methods with Simulation

Edizione in evidenza

ISBN 10:  0521816963 ISBN 13:  9780521816960
Casa editrice: Cambridge University Press, 2003
Rilegato

9780521766555: Discrete Choice Methods with Simulation

Cambri..., 2009
Rilegato

9780521017152: Discrete Choice Methods with Simulation

Cambri..., 2003
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Kenneth E. Train
Editore: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2009)
ISBN 10: 0521747384 ISBN 13: 9780521747387
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Descrizione libro CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2009. Paperback. Condizione: New. 2nd Revised edition. Language: English . Brand New Book. 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. Codice articolo AAZ9780521747387

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Descrizione libro Cambridge University Press, 2009. PAP. Condizione: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo IQ-9780521747387

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Descrizione libro CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2009. Paperback. Condizione: New. 2nd Revised edition. Language: English . Brand New Book. 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. Codice articolo AAZ9780521747387

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Descrizione libro Cambridge University Press, 2018. Paperback. Condizione: New. Never used! This item is printed on demand. Codice articolo 0521747384

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Descrizione libro Cambridge University Press, 2009. PAP. Condizione: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice articolo GB-9780521747387

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Descrizione libro Cambridge University Press 2009-06-30, Cambridge, 2009. paperback. Condizione: New. Codice articolo 9780521747387

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Descrizione libro Cambridge University Press 7/1/2009, 2009. Paperback or Softback. Condizione: New. Discrete Choice Methods with Simulation. Book. Codice articolo BBS-9780521747387

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Descrizione libro Cambridge University Press. Paperback. Condizione: New. 408 pages. Dimensions: 8.9in. x 5.9in. x 1.0in.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. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Codice articolo 9780521747387

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Descrizione libro Cambridge University Press. PAPERBACK. Condizione: New. 0521747384 Brand New ,Original Book , Direct from Source , Express 6-8 business days worldwide delivery. Codice articolo DG#IL263476

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