Handbook of choice modelling

edited by Stephane Hess (Professor of Choice Modelling) and Andrew Daly (Professor Emeritus, University of Leeds, UK)

"This thoroughly revised second edition Handbook provides an authoritative and in-depth overview of choice modelling, a key technique used across disciplines as diverse as transport, marketing, health and environmental economics. Composed of contributions from influential senior researchers, this erudite Handbook covers all the significant steps of choice modelling analysis, including underlying economic and psychological theory, data collection and sampling, model specification and estimation, and interpretation and use of results. New chapters examining topics including endogeneity in discrete choice models, machine learning, and novel data sources such as virtual reality provide a fresh outlook on this fundamental empirical methodology. This second edition of the Handbook of Choice Modelling will be an important read for academics and students across disciplines that have an interest in behavioural modelling. It will also benefit practitioners seeking to understand the theoretical underpinning of their work"--

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Year of publication:	2024 ; Second edition
Other Persons:	Hess, Stephane (ed.) ; Daly, Andrew (ed.)
Institutions:	Edward Elgar Publishing (publisher)
Publisher:	Cheltenham, UK : Edward Elgar Publishing
Subject:	Choice modelling \| Discrete choice \| Random utility \| Consumer behaviour \| Stated choice \| Revealed preference \| Konsumentenverhalten \| Diskrete Entscheidung \| Offenbarte Präferenzen \| Revealed preferences \| Entscheidung \| Decision \| Präferenztheorie \| Theory of preferences \| Entscheidungstheorie \| Decision theory \| Konsumtheorie \| Consumption theory \| Nutzen \| Utility

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Extent:	1 Online-Ressource (796 pages)
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Aufsatzsammlung
Language:	English
Notes:	Includes bibliographical references and index Contents: 1. Introduction to the handbook of choice modelling / Stephane Hess and Andrew Daly -- Part I. Foundations -- 2. The new science of pleasure: Consumer choice behavior and the measurement of well-being / Daniel McFadden -- 3. Psychological research and theories of preferential choice / Jared M. Hotaling, Jerome R. Busemeyer and Jörg Rieskamp -- 4. Model building, inference and interpretation: Developing discrete choice models in the age of machine learning / Filipe Rodrigues, Rico Krueger and Francisco Camara Pereira -- Part II. Observing preferences -- 5. Choice context / Konstadinos G. Goulias and Ram M. Pendyala -- 6. Self-tracing and reporting: State-of-the-art in the capture of revealed behaviour / Kay W. Axhausen -- 7. Designing and conducting stated choice experiments / Michiel C. J. Bliemer and John M. Rose -- 8. Best-worst scaling: Theory and methods / A. A. J. Marley -- 9. Real choices and hypothetical choices / Glenn W. Harrison -- 10. Virtual reality and choice modelling: Existing applications and future research directions / Michael A. B. van Eggermond, Panos Mavros and Alex Erath -- Part III. Modelling heterogeneity -- 11. Nonparametric approaches to describing heterogeneity / Mogens Fosgerau -- 12. Attribute processing as a behavioural strategy in stated preference choice making / David A. Hensher and Camilla Balbontin -- 13. Alternative decision rules in (travel) choice models: A review and critical discussion / Caspar G. Chorus and Sander van Cranenburgh -- 14. Latent class structures: Taste heterogeneity and beyond / Stephane Hess -- Part IV. Extended data and modelling frameworks -- 15. Models for ordered choices / William Greene -- 16. Activity and transportation decisions within households / André de Palma, Nathalie Picard and Robin Lindsey -- 17. Multiple discrete-continuous choice models: A reflective analysis and a prospective view / Abdul R. Pinjari, Chandra Bhat, Shobhit Saxena and Aupal Mondal -- 18. Hybrid choice models / Maya Abou-Zeid and Moshe Ben-Akiva -- 19. Hybrid choice models: The identification problem / Akshay Vij and Joan L. Walker -- 20. Dynamic choice models / Michel Bierlaire, Emma Frejinger and Tim Hillel -- Part V. Specification, estimation and inference -- 21. Numerical methods for optimization-based model estimation and inference / David S. Bunch -- 22. Bayesian estimation of random utility models / Peter Lenk -- 23. Endogeneity in discrete choice models / C. Angelo Guevara -- 24. Sampling and discrete choice / Michel Bierlaire and Rico Krueger -- Part VI. Analysis and use of results -- 25. Appraisal / Anders Karlström -- 26. Forecasting choice / Andrew Daly -- Index.
ISBN:	978-1-80037-563-5 ; 978-1-80037-562-8
Other identifiers:	10.4337/9781800375635 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014635731