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Predicting COVID-19 Vaccine Uptake

Author

Listed:
  • Pronkina, Elizaveta

    (Université Paris-Dauphine)

  • Rees, Daniel I.

    (Universidad Carlos III de Madrid)

Abstract

Although COVID-19 vaccines are safe and effective, many adults are hesitant or unwilling to use them. Drawing on data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Corona survey, we examine the correlates of vaccine uptake among Europeans ages 50 and older. We find that self-reported trust and risk aversion are good predictors of COVID-19 vaccine uptake. By contrast, there is little evidence that either excess mortality during the pandemic or official case counts influenced whether SHARE Corona respondents were vaccinated against COVID-19.

Suggested Citation

  • Pronkina, Elizaveta & Rees, Daniel I., 2022. "Predicting COVID-19 Vaccine Uptake," IZA Discussion Papers 15625, IZA Network @ LISER.
    • Handle: RePEc:iza:izadps:dp15625
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    References listed on IDEAS

    as
    1. Ori Heffetz & Guy Ishai, 2021. "Which Beliefs? Behavior-Predictive Beliefs are Inconsistent with Information-Based Beliefs: Evidence from COVID-19," NBER Working Papers 29452, National Bureau of Economic Research, Inc.
    2. Oster, Emily, 2018. "Does disease cause vaccination? Disease outbreaks and vaccination response," Journal of Health Economics, Elsevier, vol. 57(C), pages 90-101.
    3. Barrios, John M. & Hochberg, Yael V., 2021. "Risk perceptions and politics: Evidence from the COVID-19 pandemic," Journal of Financial Economics, Elsevier, vol. 142(2), pages 862-879.
    4. Giulietti, Corrado & Vlassopoulos, Michael & Zenou, Yves, 2023. "When reality bites: Local deaths and vaccine take-up," European Economic Review, Elsevier, vol. 156(C).
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    Keywords

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    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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