Discrete choice methods with simulation / Kenneth E. Train.

Author/creator Train, Kenneth
Format Book
Edition2nd ed.
Publication InfoCambridge ; New York : Cambridge University Press, 2009.
Descriptionx, 388 pages : illustrations ; 23 cm
Supplemental ContentTable of contents only
Subjects
Decision making--Simulation methods.
Consumers' preferences--Simulation methods.

Contents Introduction -- pt. I. Behavioral models -- Properties of discrete choice models -- Logit -- GEV -- Probit -- Mixed logit -- Variations on a theme -- pt. II. Estimation -- Numerical maximization -- Drawing from densities -- Simulation-assisted estimation -- Individual-level parameters -- Bayesian procedures -- Endogeneity -- EM algorithms.
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."--pub. desc.
Bibliography noteIncludes bibliographical references (p. 371-383) and index.
LCCN 2009020438
ISBN9780521766555 (hardback)
ISBN0521766559 (hardback)
ISBN9780521747387 (pbk.)
ISBN0521747384 (pbk.)

Availability

Library Location Call Number Status Item Actions
Joyner General Stacks HD30.23 .T725 2009 ✔ Available Place Hold