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CiteWeb id: 20090000025

CiteWeb score: 8211

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.

The publication "Discrete Choice Methods with Simulation" is placed in the Top 10000 of the best publications in CiteWeb. Also in the category Economics it is included to the Top 1000. Additionally, the publicaiton "Discrete Choice Methods with Simulation" is placed in the Top 100 among other scientific works published in 2009.
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