Handbook of Choice Modelling
Edited by Stephane Hess and
Andrew Daly
in Books from Edward Elgar Publishing
Abstract:
Choice modelling is an increasingly important technique for forecasting and valuation, with applications in fields such as transportation, health and environmental economics. For this reason it has attracted attention from leading academics and practitioners and methods have advanced substantially in recent years. This Handbook, composed of contributions from senior figures in the field, summarises the essential analytical techniques and discusses the key current research issues. It will be of interest to academics, students and practitioners in a wide range of areas.
Keywords: Economics and Finance; Environment; Urban and Regional Studies (search for similar items in EconPapers)
JEL-codes: R0 (search for similar items in EconPapers)
Date: 2014
ISBN: 9781781003145
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Chapters in this book:
- Ch 1 Introduction , pp 1-4

- Stephane Hess and Andrew Daly
- Ch 2 The new science of pleasure: consumer choice behavior and the measurement of well-being , pp 7-48

- Daniel McFadden
- Ch 3 Psychological research and theories on preferential choice , pp 49-72

- Jerome R. Busemeyer and Jörg Rieskamp
- Ch 4 Towards a more complex model of risky choice , pp 73-98

- Graham Loomes and Simone Blackburn
- Ch 5 Choice context , pp 101-130

- Konstadinos G. Goulias and Ram M. Pendyala
- Ch 6 Self-tracing and reporting: state of the art in the capture of revealed behaviour , pp 131-151

- Nadine Rieser-Schüssler and Kay W. Axhausen
- Ch 7 Stated choice experimental design theory: the who, the what and the why , pp 152-177

- John Rose and Michiel Bliemer
- Ch 8 Best-worst scaling: theory and methods , pp 178-201

- T.N. Flynn and A.A.J. Marley
- Ch 9 The discrete choice experiment approach to environmental contingent valuation , pp 202-235

- Richard Carson and Mikolaj Czajkowski
- Ch 10 Real choices and hypothetical choices , pp 236-254

- Glenn Harrison
- Ch 11 Nonparametric approaches to describing heterogeneity , pp 257-267

- Mogens Fosgerau
- Ch 12 Attribute processing as a behavioural strategy in choice making , pp 268-289

- David Hensher
- Ch 13 Capturing alternative decision rules in travel choice models: a critical discussion , pp 290-310

- Caspar Chorus
- Ch 14 Latent class structures: taste heterogeneity and beyond , pp 311-330

- Stephane Hess
- Ch 15 Models for ordered choices , pp 333-362

- William Greene
- Ch 16 Discrete choice decision-making with multiple decision-makers within the household , pp 363-382

- André de Palma, Nathalie Picard and Ignacio Inoa
- Ch 17 Hybrid choice models , pp 383-412

- Maya Abou-Zeid and Moshe Ben-Akiva
- Ch 18 Choice modeling and risk management , pp 413-426

- Glenn Harrison and Jimmy Martínez-Correa
- Ch 19 Multiple discrete-continuous choice models: a reflective analysis and a prospective view , pp 427-454

- Chandra Bhat and Abdul Pinjari
- Ch 20 Bayesian estimation of random utility models , pp 457-497

- Peter Lenk
- Ch 21 Simple ways to estimate choice models for single consumers , pp 498-518

- Bart Frischknecht, Christine Eckert, Jordan Louviere and Tiago Ribeiro
- Ch 22 Hybrid choice models: the identification problem , pp 519-564

- Akshay Vij and Joan L. Walker
- Ch 23 Numerical methods for optimization-based model estimation and inference , pp 565-598

- David S. Bunch
- Ch 24 Appraisal , pp 601-626

- Anders Karlström
- Ch 25 Forecasting choice , pp 627-646

- Andrew Daly
- Ch 26 Deciding how to decide: an agenda for multi-stage choice modelling research in marketing , pp 649-660

- Joffre Swait and Fred Feinberg
- Ch 27 Choice modelling research in environmental and resource economics , pp 661-674

- Wiktor Adamowicz, Klaus Glenk and Jürgen Meyerhoff
- Ch 28 Choice modelling research in health economics , pp 675-687

- Emily Lancsar and Peter Burge
- Ch 29 Transport research needs , pp 688-698

- Juan de Dios Ortúzar, Elisabetta Cherchi and Luis Ignacio Rizzi
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