IDEAS home Printed from https://ideas.repec.org/a/kap/jrisku/v68y2024i1d10.1007_s11166-023-09424-0.html
   My bibliography  Save this article

COVID-19 vaccine and risk-taking

Author

Listed:
  • Shanike J. Smart

    (State University of New York at Binghamton)

  • Solomon W. Polachek

    (State University of New York at Binghamton
    IZA)

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 fourteen 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 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

  • Shanike J. Smart & Solomon W. Polachek, 2024. "COVID-19 vaccine and risk-taking," Journal of Risk and Uncertainty, Springer, vol. 68(1), pages 25-49, February.
    • Handle: RePEc:kap:jrisku:v:68:y:2024:i:1:d:10.1007_s11166-023-09424-0
    DOI: 10.1007/s11166-023-09424-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11166-023-09424-0
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11166-023-09424-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    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. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    3. John M. Barrios & Yael Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," NBER Working Papers 27008, National Bureau of Economic Research, Inc.
    4. 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).
    5. Dhaval Dave & Andrew Friedson & Kyutaro Matsuzawa & Drew McNichols & Connor Redpath & Joseph J. Sabia, 2021. "Risk avoidance, offsetting community effects, and COVID-19: Evidence from an indoor political rally," Journal of Risk and Uncertainty, Springer, vol. 63(2), pages 133-167, October.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Virat Agrawal & Neeraj Sood & Christopher M. Whaley, 2022. "The Ex-Ante Moral Hazard Effects of COVID-19 Vaccines," NBER Working Papers 30602, National Bureau of Economic Research, Inc.
    11. Viscusi, W Kip, 1984. "The Lulling Effect: The Impact of Child-Resistant Packaging on Aspirin and Analgesic Ingestions," American Economic Review, American Economic Association, vol. 74(2), pages 324-327, May.
    12. 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.
    13. Wändi Bruine de Bruin & Htay-Wah Saw & Dana P. Goldman, 2020. "Political polarization in US residents’ COVID-19 risk perceptions, policy preferences, and protective behaviors," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 177-194, October.
    14. 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.
    15. Peltzman, Sam, 1975. "The Effects of Automobile Safety Regulation," Journal of Political Economy, University of Chicago Press, vol. 83(4), pages 677-725, August.
    16. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, October.
    17. Hibah Khan & Ms. Era Dabla-Norris & Frederico Lima & Alexandre Sollaci, 2021. "Who Doesn’t Want to be Vaccinated? Determinants of Vaccine Hesitancy During COVID-19," IMF Working Papers 2021/130, International Monetary Fund.
    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. Tamara Bischof & Boris Kaiser, 2021. "Who cares when you close down? The effects of primary care practice closures on patients," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2004-2025, September.
    2. 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.
    3. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    4. Mark Kattenberg & Bas Scheer & Jurre Thiel, 2023. "Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences," CPB Discussion Paper 452, CPB Netherlands Bureau for Economic Policy Analysis.
    5. Dan Goldhaber & Scott A. Imberman & Katharine O. Strunk & Bryant G. Hopkins & Nate Brown & Erica Harbatkin & Tara Kilbride, 2022. "To What Extent Does In‐Person Schooling Contribute To The Spread Of Covid‐19? Evidence From Michigan And Washington," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(1), pages 318-349, January.
    6. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    7. Chabé-Ferret, Sylvain & Reynaud, Arnaud & Tène, Eva, 2021. "Water Quality, Policy Diffusion Effects and Farmers’ Behavior," TSE Working Papers 21-1229, Toulouse School of Economics (TSE).
    8. Bhalotra, Sonia R. & Britto, Diogo & Pinotti, Paolo & Sampaio, Breno, 2021. "Job Displacement, Unemployment Benefits and Domestic Violence," IZA Discussion Papers 14543, Institute of Labor Economics (IZA).
    9. Lindgren, Erik & Pettersson-Lidbom, Per & Tyrefors, Björn, 2021. "The Causal Effect of Transport Infrastructure: Evidence from a New Historical Database," Working Paper Series 1407, Research Institute of Industrial Economics.
    10. Diane Alexander & Ezra Karger, 2023. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 1017-1027, July.
    11. Muhammad Zia Hydari & Yangfan Liang & Rahul Telang, 2024. "Sound and Fury, Signifying Nothing? Impact of Data Breach Disclosure Laws," Papers 2406.15215, arXiv.org.
    12. Roberto Esposti, 2022. "The Coevolution of Policy Support and Farmers' Behaviour. An investigation on Italian agriculture over the 2008-2019 period," Working Papers 464, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    13. Diogo G. C. Britto & Paolo Pinotti & Breno Sampaio, 2022. "The Effect of Job Loss and Unemployment Insurance on Crime in Brazil," Econometrica, Econometric Society, vol. 90(4), pages 1393-1423, July.
    14. Roxanne Kovacs & Maurice Dunaiski & Janne Tukiainen, 2023. "The effect of compulsory face mask policies on community mobility in Germany," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(4), pages 1027-1055, October.
    15. Gangl, Markus, 2024. "Economic inequality and the cross-cutting of social circles: Evidence for a Great Gatsby curve in European marriage and partnership markets," OSF Preprints pfv6w, Center for Open Science.
    16. Fuest, Clemens & Immel, Lea & Neumeier, Florian & Peichl, Andreas, 2023. "Does expert information affect citizens’ attitudes toward Corona policies? Evidence from Germany," European Journal of Political Economy, Elsevier, vol. 78(C).
    17. Frank Y. Huang & Po-Chun Huang, 2024. "Enhancing Urban Traffic Safety: An Evaluation on Taipei's Neighborhood Traffic Environment Improvement Program," Papers 2401.16752, arXiv.org, revised Feb 2024.
    18. Cloud, Cannon & Heß, Simon & Kasinger, Johannes, 2023. "Shared e-scooter services and road safety: Evidence from six European countries," European Economic Review, Elsevier, vol. 160(C).
    19. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    20. Clifford Winston & Vikram Maheshri & Fred Mannering, 2006. "An exploration of the offset hypothesis using disaggregate data: The case of airbags and antilock brakes," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 83-99, March.

    More about this item

    Keywords

    COVID-19; Risk-taking; Vaccine; 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

    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:kap:jrisku:v:68:y:2024:i:1:d:10.1007_s11166-023-09424-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.