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Diagnostic Tests for the Independence from Irrelevent Alternatives Property of the Multinomial Logit Model

Diagnostic Tests for the Independence from Irrelevent Alternatives Property of the Multinomial Logit Model PDF Author: Daniel McFadden
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 82

Book Description


Diagnostic Tests for the Independence from Irrelevent Alternatives Property of the Multinomial Logit Model

Diagnostic Tests for the Independence from Irrelevent Alternatives Property of the Multinomial Logit Model PDF Author: Daniel McFadden
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 82

Book Description


Testing for Independence of Irrelevant Alternatives

Testing for Independence of Irrelevant Alternatives PDF Author: Tim R. L. Fry
Publisher:
ISBN: 9780732603915
Category : Logits
Languages : en
Pages : 18

Book Description


Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation PDF Author: Kenneth Train
Publisher: Cambridge University Press
ISBN: 0521766559
Category : Business & Economics
Languages : en
Pages : 399

Book Description
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. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The 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.

Behavioural Travel Modelling

Behavioural Travel Modelling PDF Author: David A. Hensher
Publisher: Taylor & Francis
ISBN: 1000362973
Category : Transportation
Languages : en
Pages : 872

Book Description
Originally published in 1979, this study deals on a fully comprehensive level with both passenger and freight travel. The 40 chapters deal with an extensive range of related topics, including equilibrium modelling, theoretical and conceptual developments in demand modelling, goods movement and forecasting and policy. It outlines approaches to understanding travel behaviour, which move beyond the individual choice theory towards a broader consideration of activities.

The Choice Modelling Approach to Environmental Valuation

The Choice Modelling Approach to Environmental Valuation PDF Author: Jeff Bennett
Publisher: Edward Elgar Publishing
ISBN: 9781781956601
Category : Business & Economics
Languages : en
Pages : 288

Book Description
'. . . a very useful single source for those interested in environmental evaluation using choice models.' - David A. Hensher, Australian Journal of Environmental Management '. . . this book can serve as a firm basis to start understanding what CM is about. . .' - Jesús Barreiro Hurlé, European Review of Agricultural Economics Choice Modelling is a technique that has recently emerged as a means of estimating the demand for environmental goods and the benefits and costs associated with them. The aims of the book are fourfold: * to introduce the technique in the environmental context * to demonstrate its use in a range of case studies * to provide insights into some methodological issues * to explore the prospects for the technique.

Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation PDF Author: Kenneth Train
Publisher: Cambridge University Press
ISBN: 9780521017152
Category : Business & Economics
Languages : en
Pages : 346

Book Description
Table of contents

Regression Models for Categorical and Limited Dependent Variables

Regression Models for Categorical and Limited Dependent Variables PDF Author: J. Scott Long
Publisher: SAGE
ISBN: 9780803973749
Category : Mathematics
Languages : en
Pages : 334

Book Description
Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.

Valuing Environmental Preferences

Valuing Environmental Preferences PDF Author: Ian Bateman
Publisher: Oxford University Press, USA
ISBN: 9780199248919
Category : Business & Economics
Languages : en
Pages : 678

Book Description
The questionnaire-based Contingent Valuation Method (CVM) asks people what would they be willing to pay for an environmental good or attribute, or willing to accept for its loss. These papers consider the real value of such surveys.

General Technical Report INT.

General Technical Report INT. PDF Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 286

Book Description


Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation PDF Author: Kenneth E. Train
Publisher: Cambridge University Press
ISBN: 1139480375
Category : Business & Economics
Languages : en
Pages : 399

Book Description
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.