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How to reduce vaccination hesitancy? The relevance of evidence and its communicator

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  • Eger, Jens
  • Kaplan, Lennart
  • Sternberg, Henrike

Abstract

While the world faces unprecedented COVID-19 case numbers, vaccination rates in many countries are stagnating. A differentiated understanding of the concerns of the unvaccinated population seems urgently needed to design successful communication strategies. We conducted an original survey experiment among 2,100 unvaccinated respondents from Germany where a substantial population share remains unvaccinated. Guided by the elaboration likelihood model, this paper has two objectives: First, it explores by means of a latent class analysis how unvaccinated individuals might be characterised by their attitudes towards COVID-19 vaccination. The results suggest three different subgroups: Vaccination opponents, sceptics and those receptive to be vaccinated. Second, we investigate to what extent (i) communicators (scientists/politicians) can employ (ii) varying types of evidence (none/anecdotal/statistical) to improve vaccination intentions across these subgroups. While vaccination opponents seem largely unreachable, sceptics value information by scientists, particularly if supported by anecdotal evidence. Receptives seem to instead value statistical evidence from politicians.

Suggested Citation

  • Eger, Jens & Kaplan, Lennart & Sternberg, Henrike, 2022. "How to reduce vaccination hesitancy? The relevance of evidence and its communicator," University of Göttingen Working Papers in Economics 433, University of Goettingen, Department of Economics.
  • Handle: RePEc:zbw:cegedp:433
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    References listed on IDEAS

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    1. Marcella Alsan & Sarah Eichmeyer, 2024. "Experimental Evidence on the Effectiveness of Nonexperts for Improving Vaccine Demand," American Economic Journal: Economic Policy, American Economic Association, vol. 16(1), pages 394-414, February.
    2. Kim, Dongwoo & Lee, Young Jun, 2022. "Vaccination strategies and transmission of COVID-19: Evidence across advanced countries," Journal of Health Economics, Elsevier, vol. 82(C).
    3. Christophe Courbage & Richard Peter, 2021. "On the effect of uncertainty on personal vaccination decisions," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2937-2942, November.
    4. Maurer, Jürgen, 2009. "Who has a clue to preventing the flu? Unravelling supply and demand effects on the take-up of influenza vaccinations," Journal of Health Economics, Elsevier, vol. 28(3), pages 704-717, May.
    5. Hirani, Jonas Lau-Jensen, 2021. "Inattention or reluctance? Parental responses to vaccination reminder letters," Journal of Health Economics, Elsevier, vol. 76(C).
    6. Cornelia Betsch & Corina Ulshöfer & Frank Renkewitz & Tilmann Betsch, 2011. "The Influence of Narrative v. Statistical Information on Perceiving Vaccination Risks," Medical Decision Making, , vol. 31(5), pages 742-753, September.
    7. Emily Lancsar & Jemimah Ride & Nicole Black & Leonie Burgess & Anna Peeters, 2022. "Social acceptability of standard and behavioral economic inspired policies designed to reduce and prevent obesity," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 197-214, January.
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    Cited by:

    1. Jens Eger & Sebastian H. Schneider & Martin Bruder & Solveig H. Gleser, 2023. "Does Evidence Matter? The Impact of Evidence Regarding Aid Effectiveness on Attitudes Towards Aid," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(5), pages 1149-1172, October.

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    More about this item

    Keywords

    vaccination hesitancy; COVID-19; Elaboration Likelihood Model; Latent ClassAnalysis; Persuasive messaging; Evidence provision;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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