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Kenneth E. Train 作者

Cambridge University Press

译者

2009-6-30 出版日期

408 页数

USD 42.00 价格

Paperback

丛书系列

9780521747387 图书编码

Discrete Choice Methods with Simulation 在线电子书图书标签: 经济学 Econometrics Discrete Choice

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Discrete Choice Methods with Simulation 在线电子书著者简介

Kenneth E. Train

University of California, Berkeley

Contact Information

University of California

Department of Economics

530 Evans Hall #3880

Berkeley CA 94720-3880

Voice: 415-291-1023

Fax: 415-291-1020

train@econ.berkeley.edu

Discrete Choice Methods with Simulation 在线电子书图书目录

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Discrete Choice Methods with Simulation 在线电子书图书描述

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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