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Discrete Choice Methods with Simulation - Softcover

 
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.

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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. 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.

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  • PublisherCambridge University Press
  • Publication date2009
  • ISBN 10 0521747384
  • ISBN 13 9780521747387
  • BindingPaperback
  • LanguageEnglish
  • Edition number2
  • Number of pages398

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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521747387

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Condition: New. 2009. 2nd Edition. Paperback. This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Num Pages: 400 pages, 46 b/w illus. 17 tables. BIC Classification: GPQ; KCH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 22. Weight in Grams: 610. 408 pages, 46 b/w illus. 17 tables. This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Cateogry: (P) Professional & Vocational. BIC Classification: GPQ; KCH. Dimension: 228 x 152 x 22. Weight: 538. . . . . . Seller Inventory # V9780521747387

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