Handbook of Choice Modelling

Edited by Stephane Hess and Andrew Daly

in Books from Edward Elgar Publishing

Abstract: 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.

Keywords: Economics and Finance; Environment; Geography; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2024
ISBN: 9781800375628
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Chapters in this book:

Ch 1 Introduction to the Handbook of Choice Modelling , 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 6-48

Daniel McFadden

Ch 3 Psychological research and theories of preferential choice , pp 49-73

Jared M. Hotaling, Jerome R. Busemeyer and Jörg Rieskamp

Ch 4 Model building, inference and interpretation: developing discrete choice models in the age of machine learning , pp 74-115

Filipe Rodrigues, Rico Krueger and Francisco Camara Pereira

Ch 5 Choice context , pp 117-146

Konstadinos G. Goulias and Ram M. Pendyala

Ch 6 Self-tracing and reporting: state-of-the-art in the capture of revealed behaviour , pp 147-171

Kay W. Axhausen

Ch 7 Designing and conducting stated choice experiments , pp 172-205

Michiel Bliemer and John M. Rose

Ch 8 Best-worst scaling: theory and methods , pp 206-245

A. A. J. Marley

Ch 9 Real choices and hypothetical choices , pp 246-275

Glenn Harrison

Ch 10 Virtual reality and choice modelling: existing applications and future research directions , pp 276-306

Michael A. B. van Eggermond, Panos Mavros and Alex Erath

Ch 11 Nonparametric approaches to describing heterogeneity , pp 308-318

Mogens Fosgerau

Ch 12 Attribute processing as a behavioural strategy in stated preference choice making , pp 319-338

David Hensher and Camila Balbontin

Ch 13 Alternative decision rules in (travel) choice models: a review and critical discussion , pp 339-371

Caspar G. Chorus and Sander van Cranenburgh

Ch 14 Latent class structures: taste heterogeneity and beyond , pp 372-391

Stephane Hess

Ch 15 Models for ordered choices , pp 393-425

William Greene

Ch 16 Activity and transportation decisions within households , pp 426-451

André de Palma, Nathalie Picard and Robin Lindsey

Ch 17 Multiple discrete-continuous choice models: a reflective analysis and a prospective view , pp 452-488

Abdul R. Pinjari, Chandra Bhat, Shobhit Saxena and Aupal Mondal

Ch 18 Hybrid choice models , pp 489-521

Maya Abou-Zeid and Moshe Ben-Akiva

Ch 19 Hybrid choice models: the identification problem , pp 522-567

Akshay Vij and Joan L. Walker

Ch 20 Dynamic choice models , pp 568-592

Michel Bierlaire, Emma Frejinger and Tim Hillel

Ch 21 Numerical methods for optimization-based model estimation and inference , pp 594-629

David S. Bunch

Ch 22 Bayesian estimation of random utility models , pp 630-667

Peter Lenk

Ch 23 Endogeneity in discrete choice models , pp 668-692

C. Angelo Guevara

Ch 24 Sampling and discrete choice , pp 693-718

Michel Bierlaire and Rico Krueger

Ch 25 Appraisal , pp 720-745

Anders Karlström

Ch 26 Forecasting choice , pp 746-765

Andrew Daly

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