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COVID-19 Vaccine and Risk-Taking

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  • Smart, Shanike J.

    (Binghamton University, New York)

  • Polachek, Solomon

    (Binghamton University, New York)

Abstract

We assess whether the COVID-19 vaccine induces COVID-19 risky behavior (e.g., going to bars and restaurants) and thus reduces vaccine efficacy. A key empirical challenge is the endogeneity bias when comparing risk-taking by vaccination status since people choose whether to get vaccinated. To address this bias, we exploit rich survey panel data on individuals followed before and after vaccine availability over 14 months in an event study fixed effects model with individual, time, sector, and county-by-time fixed effects and inverse propensity weights. We find evidence that vaccinated persons, regardless of the timing of vaccination, increase their risk-taking by increasing engagement in some risk-taking activities. The evidence is consistent with the "lulling effect". While vaccine availability may reduce the risk of contracting COVID-19, it also contributes to further spread of the virus by incentivizing risk-taking in the short term.

Suggested Citation

  • Smart, Shanike J. & Polachek, Solomon, 2024. "COVID-19 Vaccine and Risk-Taking," IZA Discussion Papers 16707, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16707
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    1. Thomas J. Kniesner & Ryan Sullivan, 2020. "The forgotten numbers: A closer look at COVID-19 non-fatal valuations," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 155-176, October.
    2. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    3. Darius Lakdawalla & Neeraj Sood & Dana Goldman, 2006. "HIV Breakthroughs and Risky Sexual Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 1063-1102.
    4. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    5. Jesper Akesson & Sam Ashworth-Hayes & Robert Hahn & Robert Metcalfe & Itzhak Rasooly, 2022. "Fatalism, beliefs, and behaviors during the COVID-19 pandemic," Journal of Risk and Uncertainty, Springer, vol. 64(2), pages 147-190, April.
    6. W. Kip Viscusi & Gerald O. Cavallo, 1994. "The Effect of Product Safety Regulation on Safety Precautions," Risk Analysis, John Wiley & Sons, vol. 14(6), pages 917-930, December.
    7. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    8. Marco daCosta DiBonaventura & Gretchen B. Chapman, 2008. "Do Decision Biases Predict Bad Decisions? Omission Bias, Naturalness Bias, and Influenza Vaccination," Medical Decision Making, , vol. 28(4), pages 532-539, July.
    9. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
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    More about this item

    Keywords

    vaccine; risk-taking; COVID-19; lulling effect;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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