Discrete Choice Methods with Simulation

by Kenneth E. Train

Focusing on the many advances that are made possible by simulation, this book describes the new generation of discrete choice methods. 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. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Genres: Economics, Mathematics, Unfinished, Nonfiction, Academic

342 pages, Kindle Edition

First published January 13, 2003

Reviews

[Florent Buisson · Rating 3 out of 5]

I found the theoretical presentation of the models in Part I pretty accessible, but Part II about simulations presented equations and graphs, not a single line of code. Not useful for what I'm trying to do

[Tri · Rating 5 out of 5]

Read twice. So clear on discrete choice models, but for dynamic discrete choice models, need to find other resources. Haven't found a single book on dynamic models which can be as good as this one.