Tran, M., Maris, R., Hess, S. orcid.org/0000-0002-3650-2518 et al. (4 more authors) (2025) Temporal stability of preferences: The case of COVID-19 vaccines in Australia and New Zealand. Social Science & Medicine, 383. 118417. ISSN: 0277-9536
Abstract
This paper introduces a novel two-level Latent Class (LC) structure to investigate the temporal stability of preferences, allowing individuals to switch classes over time. The model is used to investigate the temporal stability of COVID–19 vaccine preferences in Australia (AUS) and New Zealand (NZ) during 2020-2021. Through online experiments on vaccine choices, stated choice data is collected across three waves from the general population in both countries. The LC estimation identifies three distinct preference classes: an “Impatient” group, with greater sensitivity to waiting time (AUS: 46%, NZ: 31%), a “Price Sensitive” group (AUS: 41%, NZ: 56%), and a “Vaccine Hesitant” group (AUS: 13%, NZ: 13%). Across waves, preferences for COVID-19 vaccines remain stable, with the probability of respondents remaining in the same class over three waves being 0.62 for Australia and 0.61 for NZ. Changes in preferences are significantly linked to variations in individuals’ socioeconomic status and COVID–19 policy responses during the survey period.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Latent class, Stated choices, Repeated choices, Panel data, COVID-19 |
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 101020940 |
Date Deposited: | 20 Oct 2025 08:51 |
Last Modified: | 20 Oct 2025 08:51 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.socscimed.2025.118417 |
Related URLs: | |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:233155 |