EconPapers    
Economics at your fingertips  
 

Discrete Choice Methods with Simulation

Kenneth Train ()

in Cambridge Books from Cambridge University Press

Abstract: 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.

Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (1242) Track citations by RSS feed

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Book: Discrete Choice Methods with Simulation (2009)
Book: Discrete Choice Methods with Simulation (2003) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cup:cbooks:9780521747387

Ordering information: This item can be ordered from
http://www.cambridge ... p?isbn=9780521747387

Access Statistics for this book

More books in Cambridge Books from Cambridge University Press
Bibliographic data for series maintained by Ruth Austin (). This e-mail address is bad, please contact .

 
Page updated 2019-09-13
Handle: RePEc:cup:cbooks:9780521747387