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Integrating Latent Variables In Discrete Choice Models


Integrating Latent Variables In Discrete Choice Models
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Integrating Latent Variables In Discrete Choice Models


Integrating Latent Variables In Discrete Choice Models
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Author : Dirk Temme
language : en
Publisher:
Release Date : 2007

Integrating Latent Variables In Discrete Choice Models written by Dirk Temme and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.




Integrating Latent Variables In Discrete Choice Models


Integrating Latent Variables In Discrete Choice Models
DOWNLOAD
Author : Dirk Temme
language : en
Publisher:
Release Date : 2007

Integrating Latent Variables In Discrete Choice Models written by Dirk Temme and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.




Extended Discrete Choice Models


Extended Discrete Choice Models
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Author : Joan Leslie Walker
language : en
Publisher:
Release Date : 2001

Extended Discrete Choice Models written by Joan Leslie Walker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Choice (Psychology) categories.




Incorporating Latent Variables Into Discrete Choice Models A Simultaneous Estimation Approach Using Sem Software


Incorporating Latent Variables Into Discrete Choice Models A Simultaneous Estimation Approach Using Sem Software
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Author : Dirk Temme
language : en
Publisher:
Release Date : 2009

Incorporating Latent Variables Into Discrete Choice Models A Simultaneous Estimation Approach Using Sem Software written by Dirk Temme and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.


Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, applications of ICLV models in marketing remain rare. We extend previous ICLV applications by first estimating a multinomial choice model and, second, by estimating hierarchical relations between latent variables. An empirical study on travel mode choice clearly demonstrates the value of ICLV models to enhance the understanding of choice processes. In addition to the usually studied directly observable variables such as travel time, we show how abstract motivations such as power and hedonism as well as attitudes such as a desire for flexibility impact on travel mode choice. Furthermore, we show that it is possible to estimate such a complex ICLV model with the widely available structural equation modeling package Mplus. This finding is likely to encourage more widespread application of this appealing model class in the marketing field.



Discrete Choice Methods With Simulation


Discrete Choice Methods With Simulation
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Author : Kenneth Train
language : en
Publisher: Cambridge University Press
Release Date : 2009-07-06

Discrete Choice Methods With Simulation written by Kenneth Train and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-06 with Business & Economics categories.


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.



Three Essays On Discrete Choice Modeling With Latent Constructs


Three Essays On Discrete Choice Modeling With Latent Constructs
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Author : Yutaka Motoaki
language : en
Publisher:
Release Date : 2016

Three Essays On Discrete Choice Modeling With Latent Constructs written by Yutaka Motoaki and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.


This dissertation consists of three individual studies that are concerned with discrete choice models with latent variables. In all three studies, a special attention is paid to specification and estimation of latent constructs. The first study aims to extends the methodological framework for latent class model by incorporating latent variables in the class assignment rule. The second study focuses on goodness of fit of discrete choice models with latent variables. The last study is concerned with discrete choice models with latent variables applied in the context of hurricane evacuation. The work presented here aims to explore the complexity and challenges of modeling latent constructs that are often overlooked.



Discrete Choice Analysis


Discrete Choice Analysis
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Author : Moshe Ben-Akiva
language : en
Publisher: MIT Press
Release Date : 2018-04-20

Discrete Choice Analysis written by Moshe Ben-Akiva and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-20 with Architecture categories.


Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The methods of discrete choice analysis and their applications in the modelling of transportation systems constitute a comparatively new field that has largely evolved over the past 15 years. Since its inception, however, the field has developed rapidly, and this is the first text and reference work to cover the material systematically, bringing together the scattered and often inaccessible results for graduate students and professionals. Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The introductory chapter presents the background of discrete choice analysis and context of transportation demand forecasting. Subsequent chapters cover, among other topics, the theories of individual choice behavior, binary and multinomial choice models, aggregate forecasting techniques, estimation methods, tests used in the process of model development, sampling theory, the nested-logit model, and systems of models. Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies, edited by Marvin Manheim.



A Bayesian Approach To Hybrid Choice Models


A Bayesian Approach To Hybrid Choice Models
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Author : Ricardo Alvarez Daziano
language : en
Publisher:
Release Date : 2010

A Bayesian Approach To Hybrid Choice Models written by Ricardo Alvarez Daziano and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.




Handbook Of Choice Modelling


Handbook Of Choice Modelling
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Author : Stephane Hess
language : en
Publisher: Edward Elgar Publishing
Release Date : 2024-06-05

Handbook Of Choice Modelling written by Stephane Hess and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-05 with Business & Economics categories.


This thoroughly revised second edition Handbook provides an authoritative and in-depth overview of choice modelling, covering essential topics range from data collection through model specification and estimation to analysis and use of results. It aptly emphasises the broad relevance of choice modelling when applied to a multitude of fields, including but not limited to transport, marketing, health and environmental economics.



Econometric Models In Marketing


Econometric Models In Marketing
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Author : P.H. Franses
language : en
Publisher: Elsevier
Release Date : 2002-02-28

Econometric Models In Marketing written by P.H. Franses and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-02-28 with Business & Economics categories.


In the 16th Edition of "Advances in Econometrics", we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields and introduce the latest models for analysing marketing data. The papers are representative of the types of problems and methods that are used within the field of marketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing. Given the applied nature of marketing research, measurement and quantitative issues arise frequently. Quantitative marketing tends to rely heavily upon statistics and econometrics. However, quantitative marketing can place a different emphasis upon the problem than econometrics, even when using the same techniques. A basic difference between quantitative marketing research and econometrics tends to be the pragmatism that is found in many marketing studies. Another important motivating factor in marketing research is the type of data that is available. Applied econometrics tends to rely heavily on data collected by governmental organizations. In contrast, marketing often uses data collected by private firms or marketing research firms. Observational and survey data are quite similar to those used in econometrics. However, the remaining types of data, panel and transactional, can look quite different from what may be familiar to econometricians. The automation and computerization of much of the sales transaction process leaves an audit trail that results in huge quantities of data. A popular area of study is the use of scanner data collected at the checkout stand using bar code readers. Methods that work for small data sets may not work well in these larger data sets. In addition, new sources of data, such as clickstream data from a web site, will offer new challenges. This volume addresses these and related issues.