Discrete Choice Methods with Simulation pdf epub mobi txt 电子书 下载 2025
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
- 经济学
- Econometrics
- Discrete
- Choice
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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