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Cited by 1,823Economic and Environmental ValuationDecision-Making and Behavioral EconomicsTransportation Planning and Optimization

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Applied Choice Analysis: A Primer

Hensher, David A., Rose, John M., Greene, William H.·2005·Cambridge University Press eBooks
DOI 10.1017/cbo9780511610356
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Abstract

Almost without exception, everything human beings undertake involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding both of how choices are made and of forecasting future choice responses. In this primer the authors provide an unintimidating introduction to the main techniques of choice analysis and include detail on themes such as data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website to the book provides practice data sets and software to estimate the main discrete choice models such as multinomial logit, nested logit and mixed logit. This primer will be an invaluable resource to students as well as of immense value to consultants and professionals, researchers and anyone else interested in choice analysis and modelling.

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Metadata

Authors
Hensher, D. A., Rose, J. M., & Greene, W. H.
Affiliations
  • The University of Sydney (AU)
  • New York University (US)
ORCID
Venue
Cambridge University Press eBooks
Publisher
Cambridge University Press
Published
2005-06-02
DOI
10.1017/cbo9780511610356
OpenAlex
W3152367353
Cited by
1,823
References
0
Citations by year
2026: 62 · 2025: 87 · 2024: 104 · 2023: 94 · 2022: 104 · 2021: 121 · 2020: 109 · 2019: 127 · 2018: 95 · 2017: 92 · 2016: 105 · 2015: 136 · 2014: 103 · 2013: 95 · 2012: 98
FWCI
34.17
Type
book
Language
en
Open access
closed
Licence
www.cambridge.org/core/terms (unspecified, 2652 d)
Locations
Cambridge University Press eBooks (publishedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
  • Social Sciences › Transportation › Transportation Planning and Optimization
Keywords
discrete choice models, multinomial logistic regression, nested logit model, mixed logit, discrete choice experiment, choice experiment design

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