IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/138674.html

Risk perceptions and protective behaviors at the onset and outset of the COVID-19 pandemic

Author

Listed:
  • Costa-Font, Joan
  • Rossello-Roig, Melcior
  • Rudisill, Caroline
  • Salmasi, Luca

Abstract

We study the formation of risk perceptions— subjective probability beliefs— of three adverse events—COVID-19 contagion, influenza contagion, and food poisoning—at the onset (2020) and outset (2023) of the COVID-19 pandemic in the United States. We show that perceived risk levels for COVID-19 are similar to those for influenza, are not significantly influenced by proximity to infection, and are shaped instead by an individual’s gender, education, and employment status. Using an instrumental variable strategy, we assess whether these perceptions influence a number of protective behaviors. We find that although risk perceptions are associated with various protective behaviors, they only causally increase the likelihood of phone or online medical consultations by about a percentage point.

Suggested Citation

  • Costa-Font, Joan & Rossello-Roig, Melcior & Rudisill, Caroline & Salmasi, Luca, 2026. "Risk perceptions and protective behaviors at the onset and outset of the COVID-19 pandemic," LSE Research Online Documents on Economics 138674, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:138674
    as

    Download full text from publisher

    File URL: https://researchonline.lse.ac.uk/id/eprint/138674/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. W. Kip Viscusi, 2021. "Economic lessons for COVID‐19 pandemic policies," Southern Economic Journal, John Wiley & Sons, vol. 87(4), pages 1064-1089, April.
    2. Ian Savage, 1993. "Demographic Influences on Risk Perceptions," Risk Analysis, John Wiley & Sons, vol. 13(4), pages 413-420, August.
    3. Björn Sund & Mikael Svensson & Henrik Andersson, 2017. "Demographic determinants of incident experience and risk perception: do high-risk groups accurately perceive themselves as high-risk?," Journal of Risk Research, Taylor & Francis Journals, vol. 20(1), pages 99-117, January.
    4. Savadori, Lucia & Lauriola, Marco, 2022. "Risk perceptions and COVID-19 protective behaviors: A two-wave longitudinal study of epidemic and post-epidemic periods," Social Science & Medicine, Elsevier, vol. 301(C).
    5. Viscusi, W Kip, 1991. "Age Variations in Risk Perceptions and Smoking Decisions," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 577-588, November.
    6. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Costa-Font, Joan & Roig-Roselloa, Melcior & Rudisill, Caroline & Salmasi, Luca, 2026. "Risk Perceptions and Protective Behaviors at the Onset and Outset of the COVID-19 Pandemic," IZA Discussion Papers 18704, IZA Network @ LISER.
    2. Ji Yan & Sally Brocksen, 2013. "Adolescent risk perception, substance use, and educational attainment," Journal of Risk Research, Taylor & Francis Journals, vol. 16(8), pages 1037-1055, September.
    3. Henrik Andersson & Petter Lundborg, 2007. "Perception of own death risk," Journal of Risk and Uncertainty, Springer, vol. 34(1), pages 67-84, February.
    4. Lundborg, Petter & Andersson, Henrik, 2008. "Gender, risk perceptions, and smoking behavior," Journal of Health Economics, Elsevier, vol. 27(5), pages 1299-1311, September.
    5. Henrik Andersson, 2011. "Perception of Own Death Risk: An Assessment of Road‐Traffic Mortality Risk," Risk Analysis, John Wiley & Sons, vol. 31(7), pages 1069-1082, July.
    6. Andersson, Henrik & Lundborg, Petter, 2006. "Perception of Own Death Risk: An Analysis of Road-Traffic and Overall Mortality Risks," Working Papers 2006:1, Swedish National Road & Transport Research Institute (VTI).
    7. Luke Pavia & Simon Grima & Inna Romanova & Jonathan V. Spiteri, 2021. "Fine Art Insurance Policies and Risk Perceptions: The Case of Malta," JRFM, MDPI, vol. 14(2), pages 1-16, February.
    8. Johanna Etner & Meglena Jeleva, 2013. "Risk Perception, Prevention And Diagnostic Tests," Health Economics, John Wiley & Sons, Ltd., vol. 22(2), pages 144-156, February.
    9. Yanbo Zhang & Yibao Wang & Ahmad Bayiz Ahmad & Ashfaq Ahmad Shah & Wen Qing, 2021. "How Do Individual-Level Characteristics Influence Cross-Domain Risk Perceptions Among Chinese Urban Residents?," SAGE Open, , vol. 11(2), pages 21582440211, April.
    10. Averi Chakrabarti & Karen A Grépin & Stéphane Helleringer, 2019. "The impact of supplementary immunization activities on routine vaccination coverage: An instrumental variable analysis in five low-income countries," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-11, February.
    11. Ichev, Riste & Valentinčič, Aljoša, 2025. "The effect of impact investing on performance of private firms," Research in International Business and Finance, Elsevier, vol. 73(PA).
    12. Huh, Yesol & Kim, You Suk, 2023. "Cheapest-to-deliver pricing, optimal MBS securitization, and welfare implications," Journal of Financial Economics, Elsevier, vol. 150(1), pages 68-93.
    13. Sènakpon Fidèle A. Dedehouanou & Luca Tiberti & Hilaire G. Houeninvo & Djohodo Inès Monwanou, 2019. "Working while studying: Employment premium or penalty for youth in Benin?," Working Papers PMMA 2019-03, PEP-PMMA.
    14. Mengyuan Zhou, 2022. "Does the Source of Inheritance Matter in Bequest Attitudes? Evidence from Japan," Journal of Family and Economic Issues, Springer, vol. 43(4), pages 867-887, December.
    15. Sandra Müllbacher & Wolfgang Nagl, 2017. "Labour supply in Austria: an assessment of recent developments and the effects of a tax reform," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 465-486, August.
    16. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
    17. Christopher Dick-Sagoe & Ernest Ngeh Tingum & Peter Asare-Nuamah & Denis N. Yuni & Nicholas Baidoo, 2025. "Central transfers and incentives to collect local revenue among the Central Region of Ghana’s local government officials: analysing the flypaper effect," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    18. Maurice Mutisya & Moses W. Ngware & Caroline W. Kabiru & Ngianga-bakwin Kandala, 2016. "The effect of education on household food security in two informal urban settlements in Kenya: a longitudinal analysis," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(4), pages 743-756, August.
    19. Ilona Babenko & Benjamin Bennett & John M Bizjak & Jeffrey L Coles & Jason J Sandvik, 2023. "Clawback Provisions and Firm Risk," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 12(2), pages 191-239.
    20. Şahan, Duygu & Tuna, Okan, 2018. "Environmental innovation of transportation sector in OECD countries," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), The Road to a Digitalized Supply Chain Management: Smart and Digital Solutions for Supply Chain Management. Proceedings of the Hamburg International C, volume 25, pages 157-170, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ehl:lserod:138674. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.