Hui, L, Hess, S orcid.org/0000-0002-3650-2518, Daly, A orcid.org/0000-0001-5319-2745 et al. (1 more author) (2017) Measuring the impact of alcohol multi-buy promotions on consumers’ purchase behaviour. Journal of Choice Modelling, 24. pp. 75-95. ISSN 1755-5345
Abstract
The objective of this study was to understand the impact of alcohol multi-buy promotions on individual’s purchasing behaviour. Our study deployed a Stated Preference survey to measure consumers’ potential responses towards price changes and the introduction of promotions, as well as the resulting effects on demand. A series of econometric models were developed, ranging from simple selection models to advanced multiple discrete-continuous extreme value (MDCEV) models, to capture the discrete and continuous feature of alcohol purchasing choice behaviour. The model results were compared and then extrapolated to a series of policy scenario tests, to enable the evaluation of factors that underpin consumers’ alcohol purchasing behaviour. This research contributes to evidence on the role of multi-buy promotions on alcohol purchasing behaviour, as well as adding to recent developments in the choice modelling literature by providing a comparison of results across a range of different model structures suitable for the analysis of data such as used here.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier Ltd. This is an author produced version of a paper published in The Journal of Choice Modelling. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | alcohol consumption; discrete continuous; MDCEV |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Funding Information: | Funder Grant number EU - European Union 615596 |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Jun 2016 11:39 |
Last Modified: | 18 Jan 2023 14:48 |
Published Version: | https://dx.doi.org/10.1016/j.jocm.2016.05.001 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jocm.2016.05.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100778 |