Discrete choice methods with simulation / Kenneth E. Train.

By:

Train, Kenneth [author.]

Material type: Text

TextPublication details: Cambridge ; New York : Cambridge University Press, 2009.Edition: 2nd edDescription: 1 online resource (x, 388 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780511595356
0511595352
9780511590634
0511590636
9780511651366
0511651368
9780511805271
0511805276
0511592493
9780511592492

Subject(s): Genre/Form:

Additional physical formats: Print version:: Discrete choice methods with simulation.DDC classification:

003/.56 22

LOC classification:

HD30.23 .T725 2009

Other classification:

Qaacab/DR
Qab/DR
QH 300
MAT 624f
WIR 543f

Online resources:

Click here to access online

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.

Summary: "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

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references (pages 371-383) and index.

"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

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