Lancsar, E., Fiebig, D.G. and Hole, A.R. orcid.org/0000-0002-9413-8101 (2017) Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software. PharmacoEconomics, 35 (7). pp. 697-716. ISSN 1170-7690
Abstract
We provide a user guide on the analysis of data (including best–worst and best–best data) generated from discrete-choice experiments (DCEs), comprising a theoretical review of the main choice models followed by practical advice on estimation and post-estimation. We also provide a review of standard software. In providing this guide, we endeavour to not only provide guidance on choice modelling but to do so in a way that provides a ‘way in’ for researchers to the practicalities of data analysis. We argue that choice of modelling approach depends on the research questions, study design and constraints in terms of quality/quantity of data and that decisions made in relation to analysis of choice data are often interdependent rather than sequential. Given the core theory and estimation of choice models is common across settings, we expect the theoretical and practical content of this paper to be useful to researchers not only within but also beyond health economics.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer International Publishing Switzerland 2017. This is an author produced version of a paper subsequently published in PharmacoEconomics. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Mar 2017 16:42 |
Last Modified: | 03 Aug 2023 11:38 |
Status: | Published |
Publisher: | Springer Verlag |
Refereed: | Yes |
Identification Number: | 10.1007/s40273-017-0506-4 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114018 |