Discrete Choice Methods with Simulation
Discrete Choice Methods with Simulation

Author: Kenneth Train

Publisher: Cambridge University Press

Published: 2009-07-06

Total Pages: 399

ISBN-13: 0521766559

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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.

Essays in Transportation Economics and Policy
Essays in Transportation Economics and Policy

Author: Jose A. Gomez-Ibanez

Publisher: Brookings Institution Press

Published: 2011-01-01

Total Pages: 592

ISBN-13: 9780815715696

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This comprehensive survey of transportation economic policy pays homage to a classic work, Techniques of Transportation Planning, by renowned transportation scholar John R. Meyer. With contributions from leading economists in the field, it includes added emphasis on policy developments and analysis. The book covers the basic analytic methods used in transportation economics and policy analysis; focuses on the automobile, as both the mainstay of American transportation and the source of some of its most serious difficulties; covers key issues of urban public transportation; and analyzes the impact of regulation and deregulation on the U.S. airline, railroad, and trucking industries. In addition to the editors, the contributors are Alan A. Altshuler, Harvard University; Ronald R. Braeutigam, Northwestern University; Robert E. Gallamore, Union Pacific Railroad; Arnold M. Howitt, Harvard University; Gregory K. Ingram, The Wold Bank; John F. Kain, University of Texas at Dallas; Charles Lave, University of California, Irvine; Lester Lave, Carnegie Mellon University; Robert A. Leone, Boston University; Zhi Liu, The World Bank; Herbert Mohring, University of Minnesota; Steven A. Morrison, Northeastern University; Katherine M. O'Regan, Yale University; Don Pickrell, U.S. Department of Transportation; John M. Quigley, University of California, Berkeley; Ian Savage, Northwestern University; and Kenneth A. Small, University of California Irvine.

Using Discrete Choice Experiments to Value Health and Health Care
Using Discrete Choice Experiments to Value Health and Health Care

Author: Mandy Ryan

Publisher: Springer Science & Business Media

Published: 2007-10-23

Total Pages: 265

ISBN-13: 1402057539

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This work takes a fresh and contemporary look at the growing interest in the development and application of discrete choice experiments (DCEs) within the field of health economics. The book comprises chapters by highly regarded academics with experience of applying DCEs in the area of health. Thus the book is relevant to post-graduate students and applied researchers with an interest in the use of DCEs for valuing health and health care and has international appeal.

Essays on Transport Economics
Essays on Transport Economics

Author: Pablo Coto-Millán

Publisher: Springer Science & Business Media

Published: 2007-02-02

Total Pages: 378

ISBN-13: 3790817651

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This book explores analytical methods used in transportation economics and policy analysis. Encompassing fields of economics such as Industrial Organisation, Welfare Economics, General Equilibrium Theory and Input-Output-Analysis, the study of transport from an economic point of view serves as a test bench for applying methodologies of economic science to the real world. Each chapter opens with a brief theoretical introduction before evaluating case studies, using the state-of-the-art statistical and econometric techniques.

Choice Modelling
Choice Modelling

Author: Stephane Hess

Publisher: Edward Elgar Publishing

Published: 2013-01-01

Total Pages: 322

ISBN-13: 1781007276

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'This collection of papers, by leading researchers in the field, provides an excellent view of the current state of research and applications. Exciting new techniques are presented, and realistic solutions are offered to issues that arise in applied work. It is an admirably rich volume, offering valuable insights for all readers of choice modeling.' Kenneth Train, University of California, Berkeley and NERA Economic Consulting, Inc., San Francisco, California, US 'I'm an enthusiastic fan of the ICMC, where researchers are friendly, genuinely interested in learning from and helping one another. There is much to learn because each discipline brings a different perspective to the field and to theoretical and applied problems in decision-making and choice behavior. The ICMC embodies the philosophy that most real choice problems are complex and require a cross-disciplinary approach. The papers in this volume represent an eclectic cross-section of the topics covered by key researchers in the field. I look forward to getting our PhD students and postdocs stuck into them.' Jordan Louviere, University of Technology Sydney, Australia Choice modelling has been one of the most active fields in economics over recent years. This valuable new book contains leading contributions from academics and practitioners from across the different areas of study where choice modelling is a key analytical technique, drawn from a recent international conference. Choice models explain the behaviour of individuals by quantifying their values, responses and perceptions of attributes describing the various options (alternatives) available to them. Policy makers and planners have long since recognised the potential of using choice models for guidance purposes, with applications in fields as diverse as transport analysis, healthcare, telecommunications, public service evaluation and energy. The unique mix of theoretical and applied chapters will appeal to academics, students, researchers and practitioners in various fields, as well as anyone with a general interest in the subject.

Discrete Choice Analysis with R
Discrete Choice Analysis with R

Author: Antonio Páez

Publisher: Springer Nature

Published: 2023-01-25

Total Pages: 349

ISBN-13: 303120719X

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This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementation using the R language. Discrete choice analysis is a family of methods useful to study individual decision-making. With strong theoretical foundations in consumer behavior, discrete choice models are used in the analysis of health policy, transportation systems, marketing, economics, public policy, political science, urban planning, and criminology, to mention just a few fields of application. The book does not assume prior knowledge of discrete choice analysis or R, but instead strives to introduce both in an intuitive way, starting from simple concepts and progressing to more sophisticated ideas. Loaded with a wealth of examples and code, the book covers the fundamentals of data and analysis in a progressive way. Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with sophisticated models including latent class logit models, mixed logit models, and ordinal logit models with taste heterogeneity. Data visualization is emphasized to explore both the input data as well as the results of models. This book should be of interest to graduate students, faculty, and researchers conducting empirical work using individual level choice data who are approaching the field of discrete choice analysis for the first time. In addition, it should interest more advanced modelers wishing to learn about the potential of R for discrete choice analysis. By embedding the treatment of choice modeling within the R ecosystem, readers benefit from learning about the larger R family of packages for data exploration, analysis, and visualization.