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Author : Kenneth Train
Publisher : Cambridge University Press
Page : 346 pages
File Size : 42,9 Mb
Release : 2003-01-13
Category : Business & Economics
ISBN : 0521017157
Table of contents
Author : Kenneth E. Train
Publisher : Cambridge University Press
Page : 400 pages
File Size : 41,6 Mb
Release : 2009-06-30
Category : Business & Economics
ISBN : 9781139480376
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.
Author : Kenneth Train
Publisher : Cambridge University Press
Page : 399 pages
File Size : 47,9 Mb
Release : 2009-07-06
Category : Business & Economics
ISBN : 9780521766555
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.
Author : Riccardo Scarpa,Anna Alberini
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 53,8 Mb
Release : 2005-08-12
Category : Business & Economics
ISBN : 1402036833
Simulation methods are revolutionizing the practice of applied economic analysis. In this book, leading researchers from around the world discuss interpretation issues, similarities and differences across alternative models, and propose practical solutions for the choice of the model and programming. Case studies show the practical use and the results brought forth by the different methods.
Author : Roberto Mariano,Til Schuermann,Melvyn J. Weeks
Publisher : Cambridge University Press
Page : 488 pages
File Size : 51,8 Mb
Release : 2000-07-20
Category : Business & Economics
ISBN : 0521591120
This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why? This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice.
Author : Moshe E. Ben-Akiva,Steven R. Lerman
Publisher : MIT Press
Page : 424 pages
File Size : 53,9 Mb
Release : 1985
Category : Architecture
ISBN : 0262022176
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.
Author : George S. Fishman
Publisher : Springer Science & Business Media
Page : 554 pages
File Size : 52,6 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9781475735529
"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-random number generation and modelling and these sections are quite thorough. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews, 22:2, August 2002
Author : Petr Mariel,David Hoyos,Jürgen Meyerhoff,Mikolaj Czajkowski,Thijs Dekker,Klaus Glenk,Jette Bredahl Jacobsen,Ulf Liebe,Søren Bøye Olsen,Julian Sagebiel,Mara Thiene
Publisher : Springer Nature
Page : 136 pages
File Size : 46,7 Mb
Release : 2020-11-30
Category : Business & Economics
ISBN : 9783030626693
This open access book offers up-to-date advice and practical guidance on how to undertake a discrete choice experiment as a tool for environmental valuation. It discusses crucial issues in designing, implementing and analysing choice experiments. Compiled by leading experts in the field, the book promotes discrete choice analysis in environmental valuation through a more solid scientific basis for research practice. Instead of providing strict guidelines, the book helps readers avoid common mistakes often found in applied work. It is based on the collective reflections of the scientific network of researchers using discrete choice modelling in the field of environmental valuation (www.envecho.com).
Author : William H. Greene,David A. Hensher
Publisher : Cambridge University Press
Page : 383 pages
File Size : 55,8 Mb
Release : 2010-04-08
Category : Business & Economics
ISBN : 9781139485951
It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.
Author : Martine Labbe,Gilbert Laporte,Katalin Tanczos,Philippe Toint
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 41,9 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783662035146
Every one relies on some kind of transportation system nearly every day. Go ing to work, shopping, dropping children at school and many other cultural or social activities imply leaving home, and using some form of transportation, which we expect tobe eflicient and reliable. Of course, efliciency and reliabil ity do not occur by chance, but require careful and often relatively complex planning by transportation system managers, both in the public and private sectors. It has long been recognized that mathematics, and, more specifically, op erations research is an important tool of this planning process. However, the range of skills required to cover both fields, even partially, is very large, and the opportunities to gather people with this very diverse expertise are too few. The organization of the NATO Advanced Studies Institute on "Opera tions Research and Decision Aid Methodologies in Traflic and Transportation Management" in March 1997 in Balatonfüred, Hungary, was therefore more than welcome and the group of people that gathered for a very studious two weeks on the shores of the beautiful lake Balaton did really enjoy the truly multidisciplinary and high scientific level of the meeting. The purpose of the present volume is to report, in a chronological order, the various questions that were considered by the lecturers and the' students at the institute. After a general introduction to the topic, the first week focused on issues related to traflic modeling, mostly in an urban context.
Author : Barbara J. Kanninen
Publisher : Springer Science & Business Media
Page : 344 pages
File Size : 52,5 Mb
Release : 2007-05-31
Category : Business & Economics
ISBN : 9781402053139
This book provides practical, research-based advice on how to conduct high-quality stated choice studies. It covers every aspect of the topic, from planning and writing the survey, to analyzing results, to evaluating quality. There is no other book on the market today that so thoroughly addresses the methodology of stated choice. Chapters are written by top-notch academics and practitioners in an accessible style, offering practical, tough advice.
Author : William Greene,R. Carter Hill
Publisher : Emerald Group Publishing
Page : 363 pages
File Size : 46,6 Mb
Release : 2010-12-03
Category : Business & Economics
ISBN : 9780857241504
This collection of methodological developments and applications of simulation-based methods were presented at a workshop at Louisiana State University in November, 2009. Topics include: extensions of the GHK simulator; maximum-simulated likelihood; composite marginal likelihood; and modelling and forecasting volatility in a bayesian approach.
Author : David A. Hensher,John M. Rose,William H. Greene
Publisher : Cambridge University Press
Page : 1219 pages
File Size : 41,5 Mb
Release : 2015-06-11
Category : Business & Economics
ISBN : 9781107092648
A fully updated second edition of this popular introduction to applied choice analysis, written for graduate students, researchers, professionals and consultants.
Author : Robin Lovelace,Morgane Dumont
Publisher : CRC Press
Page : 260 pages
File Size : 51,9 Mb
Release : 2017-09-07
Category : Computers
ISBN : 9781315363165
Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Get Insight into Complex Behaviors The book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own Data Full of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance.
Author : Jim Granato,Melody Lo,M. C. Sunny Wong
Publisher : Cambridge University Press
Page : 399 pages
File Size : 51,7 Mb
Release : 2021-05-13
Category : Political Science
ISBN : 9780521193863
Provides a framework to demonstrate how to unify formal, theoretical and empirical analysis through various interdisciplinary examples.