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Influenza Vaccination Behavior and Media Reporting of Adverse Events

Author

Listed:
  • Brilli, Ylenia

    (Università Ca’ Foscari di Venezia)

  • Lucifora, Claudio

    (Università Cattolica del Sacro Cuore)

  • Russo, Alessia

    (Norwegian Business School (BI))

  • Tonello, Marco

    (Bank of Italy)

Abstract

We study the role of media reporting of alleged adverse effects of influenza vaccination on adults' (aged 50 or more) decisions to vaccinate against the flu. We exploit the diffusion of news linking suspected deaths to the vaccine, during the 2014 vaccination campaign in Italy. Using daily variation in news items across the 2014 campaign and the previous year campaign, unaffected by media cases, we show that media reporting decreases flu vaccination by about 2.5% (78 fewer vaccinations per day). The effect, however, is short-lived, as it fades away after approximately 10 days from the news outbreak.

Suggested Citation

  • Brilli, Ylenia & Lucifora, Claudio & Russo, Alessia & Tonello, Marco, 2020. "Influenza Vaccination Behavior and Media Reporting of Adverse Events," IZA Discussion Papers 13636, IZA Network @ LISER.
    • Handle: RePEc:iza:izadps:dp13636
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    References listed on IDEAS

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    1. Lenisa V. Chang, 2018. "Information, education, and health behaviors: Evidence from the MMR vaccine autism controversy," Health Economics, John Wiley & Sons, Ltd., vol. 27(7), pages 1043-1062, July.
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    3. Wang, Yuxi & McKee, Martin & Torbica, Aleksandra & Stuckler, David, 2019. "Systematic Literature Review on the Spread of Health-related Misinformation on Social Media," Social Science & Medicine, Elsevier, vol. 240(C).
    4. Anderberg, Dan & Chevalier, Arnaud & Wadsworth, Jonathan, 2011. "Anatomy of a health scare: Education, income and the MMR controversy in the UK," Journal of Health Economics, Elsevier, vol. 30(3), pages 515-530, May.
    5. Vincenzo Carrieri & Leonardo Madio & Francesco Principe, 2019. "Vaccine hesitancy and (fake) news: Quasi‐experimental evidence from Italy," Health Economics, John Wiley & Sons, Ltd., vol. 28(11), pages 1377-1382, November.
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    Cited by:

    1. Stefano Castriota & Marco Delmastro & Mirco Tonin, 2023. "National or local infodemic? The demand for news in Italy during COVID-19," International Journal of Health Economics and Management, Springer, vol. 23(4), pages 507-536, December.
    2. Martina Repetto & Claudio Lucifora & Antonio Russo, 2026. "Pandemic shocks and unintended healthcare disruptions: chronic patients during COVID-19," Empirical Economics, Springer, vol. 70(1), pages 1-33, January.
    3. Au, Cheuk Hang & Ho, Kevin K.W. & Chiu, Dickson K.W., 2021. "Stopping healthcare misinformation: The effect of financial incentives and legislation," Health Policy, Elsevier, vol. 125(5), pages 627-633.

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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
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

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