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Temporal stability of preferences: The case of COVID-19 vaccines in Australia and New Zealand

Author

Listed:
  • Tran, My
  • Maris, Robbie
  • Hess, Stephane
  • Dorner, Zack
  • Huynh, Elisabeth
  • Glass, Kathryn
  • Lancsar, Emily

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.

Suggested Citation

  • Tran, My & Maris, Robbie & Hess, Stephane & Dorner, Zack & Huynh, Elisabeth & Glass, Kathryn & Lancsar, Emily, 2025. "Temporal stability of preferences: The case of COVID-19 vaccines in Australia and New Zealand," Social Science & Medicine, Elsevier, vol. 383(C).
    • Handle: RePEc:eee:socmed:v:383:y:2025:i:c:s0277953625007488
    DOI: 10.1016/j.socscimed.2025.118417
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    1. Antonini, Marcello & Genie, Mesfin G. & Attwell, Katie & Attema, Arthur E. & Ward, Jeremy K. & Melegaro, Alessia & Torbica, Aleksandra & Kelly, Brian & Berardi, Chiara & Sequeira, Ana Rita & McGregor,, 2025. "Are we ready for the next pandemic? Public preferences and trade-offs between vaccine characteristics and societal restrictions across 21 countries," Social Science & Medicine, Elsevier, vol. 366(C).
    2. Caroline Fyfe & David C. Maré & Phoebe Taptiklis, 2023. "COVID-19 Wage Subsidy: Outcome evaluation - Value for Money," Motu Working Papers 23_04, Motu Economic and Public Policy Research.
    3. San Miguel, Fernando & Ryan, Mandy & Scott, Anthony, 2002. "Are preferences stable? The case of health care," Journal of Economic Behavior & Organization, Elsevier, vol. 48(1), pages 1-14, May.
    4. Hess, Stephane & Lancsar, Emily & Mariel, Petr & Meyerhoff, Jürgen & Song, Fangqing & van den Broek-Altenburg, Eline & Alaba, Olufunke A. & Amaris, Gloria & Arellana, Julián & Basso, Leonardo J. & Ben, 2022. "The path towards herd immunity: Predicting COVID-19 vaccination uptake through results from a stated choice study across six continents," Social Science & Medicine, Elsevier, vol. 298(C).
    5. Liyousew Borga & Andrew E. Clark & Conchita D’ambrosio & Anthony Lepinteur, 2022. "Characteristics associated with COVID-19 vaccine hesitancy," PSE-Ecole d'économie de Paris (Postprint) halshs-04156060, HAL.
    6. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LLC, number musr, March.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, Enero-Abr.
    8. Becker, Felix & Danaf, Mazen & Song, Xiang & Atasoy, Bilge & Ben-Akiva, Moshe, 2018. "Bayesian estimator for Logit Mixtures with inter- and intra-consumer heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 1-17.
    9. Hess, Stephane & Train, Kenneth E., 2011. "Recovery of inter- and intra-personal heterogeneity using mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 973-990, August.
    10. Daziano, Ricardo & Budziński, Wiktor, 2023. "Evolution of preferences for COVID-19 vaccine throughout the pandemic – The choice experiment approach," Social Science & Medicine, Elsevier, vol. 332(C).
    11. Daphne Bussink-Voorend & Jeannine L. A. Hautvast & Lisa Vandeberg & Olga Visser & Marlies E. J. L. Hulscher, 2022. "A systematic literature review to clarify the concept of vaccine hesitancy," Nature Human Behaviour, Nature, vol. 6(12), pages 1634-1648, December.
    12. Stirling Bryan & Lisa Gold & Rob Sheldon & Martin Buxton, 2000. "Preference measurement using conjoint methods: an empirical investigation of reliability," Health Economics, John Wiley & Sons, Ltd., vol. 9(5), pages 385-395, July.
    13. Stephane Hess, 2024. "Latent class structures: taste heterogeneity and beyond," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 14, pages 372-391, Edward Elgar Publishing.
    14. Jeroen Luyten & Roselinde Kessels, 2023. "Stability of Stated Preferences: Vaccine Priority Setting before and during the First COVID-19 Lockdown," Medical Decision Making, , vol. 43(4), pages 521-529, May.
    15. Kong, Qingxia & de Vries, Harwin & Poyraz, Dursen Deniz & Kayyal, Abed, 2025. "Does delivery matter? Examining pandemic vaccination preferences across time and countries using a discrete choice experiment," Social Science & Medicine, Elsevier, vol. 366(C).
    16. Hess, Stephane & Rose, John M., 2009. "Allowing for intra-respondent variations in coefficients estimated on repeated choice data," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 708-719, July.
    17. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
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    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

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