Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation pdf epub mobi txt 电子书 下载 2025

出版者:Cambridge University Press
作者:Kenneth E. Train
出品人:
页数:408
译者:
出版时间:2009-6-30
价格:USD 42.00
装帧:Paperback
isbn号码:9780521747387
丛书系列:
图书标签:
  • 经济学
  • Econometrics
  • Discrete
  • Choice
  • 离散选择
  • 模拟
  • 计量经济学
  • 统计学
  • 运筹学
  • 市场营销
  • 行为经济学
  • 数据分析
  • 建模
  • Python
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具体描述

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.

作者简介

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

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