Discrete Choice Methods with Simulation pdf epub mobi txt 電子書下載2025

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出版者:Cambridge University Press

作者:Kenneth E. Train

出品人:

頁數:408

译者:

出版時間:2009-6-30

價格:USD 42.00

裝幀:Paperback

isbn號碼:9780521747387

叢書系列:

圖書標籤:

經濟學
Econometrics
Discrete
Choice
離散選擇
模擬
計量經濟學
統計學
運籌學
市場營銷
行為經濟學
數據分析
建模
Python

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具體描述

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.