Handbook of choice modelling

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Title

Handbook of choice modelling / edited by Stephane Hess (Professor of Choice Modelling) and Andrew Daly (Professor Emeritus, University of Leeds, UK).

ISBN

9781800375635 (e-book)

Edition

Second edition.

Publication

Northampton : Edward Elgar Publishing, 2024.

Physical Description

1 online resource (796 pages)

Local Notes

Access is available to the Yale community.

Access and use

Access restricted by licensing agreement.

Summary

"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"-- Provided by publisher.

Variant and related titles

Elgaronline.

Format

Books / Online

Language

English

Added to Catalog

July 08, 2024

Bibliography

Includes bibliographical references and index.

Contents

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.