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

The DOI matches its Crossref record.

Applied Choice Analysis: A Primer

Hensher, David A., Rose, John M., Greene, William H.·2005·Cambridge University Press eBooks
DOI 10.1017/cbo9780511610356
Open this paper in CoChat — free account

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.

Overview

Integrity signals

Registry

Crossref · 10.1017/cbo9780511610356

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cited by

Sorted by citations

Items 701–800 of 1,001

Related

See all

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review