IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp16053.html
   My bibliography  Save this paper

Risk Compensation after COVID-19 Vaccination

Author

Listed:
  • Hwang, Jisoo

    (Harvard University)

  • Hwang, Seung-sik

    (Seoul National University)

  • Kim, Hyuncheol Bryant

    (Cornell University)

  • Lee, Jungmin

    (Seoul National University)

  • Lee, Junseok

    (UC Berkeley)

Abstract

This paper studies the causal impacts of vaccine eligibility on social distancing behaviors (risk compensation). We apply a regression discontinuity design around the birth date cutoff of vaccine eligibility using large, high-frequency data from credit card and airline companies as well as survey data. We find no evidence of risk compensation although vaccine take-up increases substantially with eligibility. We find some evidence of self-selection into vaccine take-up based on perception towards vaccine effectiveness and side effects, but we do not find that the treatment effects differ between compliers and never-takers.

Suggested Citation

  • Hwang, Jisoo & Hwang, Seung-sik & Kim, Hyuncheol Bryant & Lee, Jungmin & Lee, Junseok, 2023. "Risk Compensation after COVID-19 Vaccination," IZA Discussion Papers 16053, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp16053
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp16053.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas Hale & Noam Angrist & Rafael Goldszmidt & Beatriz Kira & Anna Petherick & Toby Phillips & Samuel Webster & Emily Cameron-Blake & Laura Hallas & Saptarshi Majumdar & Helen Tatlow, 2021. "A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)," Nature Human Behaviour, Nature, vol. 5(4), pages 529-538, April.
    2. Sebastian Neumann-Böhme & Nirosha Elsem Varghese & Iryna Sabat & Pedro Pita Barros & Werner Brouwer & Job Exel & Jonas Schreyögg & Tom Stargardt, 2020. "Once we have it, will we use it? A European survey on willingness to be vaccinated against COVID-19," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 977-982, September.
    3. Marinho Bertanha & Guido W. Imbens, 2020. "External Validity in Fuzzy Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 593-612, July.
    4. Kim, Taehoon, 2021. "Age culture, school-entry cutoff, and the choices of birth month and school-entry timing in South Korea," Journal of Demographic Economics, Cambridge University Press, vol. 87(1), pages 33-65, March.
    5. Minjung Lee & Myoungsoon You, 2020. "Psychological and Behavioral Responses in South Korea During the Early Stages of Coronavirus Disease 2019 (COVID-19)," IJERPH, MDPI, vol. 17(9), pages 1-14, April.
    6. Marcella Alsan & Sarah Eichmeyer, 2024. "Experimental Evidence on the Effectiveness of Nonexperts for Improving Vaccine Demand," American Economic Journal: Economic Policy, American Economic Association, vol. 16(1), pages 394-414, February.
    7. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    8. Liran Einav & Amy Finkelstein & Tamar Oostrom & Abigail Ostriker & Heidi Williams, 2020. "Screening and Selection: The Case of Mammograms," American Economic Review, American Economic Association, vol. 110(12), pages 3836-3870, December.
    9. Erkmen G. Aslim & Wei Fu & Chia-Lun Liu & Erdal Tekin, 2022. "Vaccination Policy, Delayed Care, and Health Expenditures," NBER Working Papers 30139, National Bureau of Economic Research, Inc.
    10. Kim, Hyuncheol Bryant & Lee, Sun-mi, 2017. "When public health intervention is not successful: Cost sharing, crowd-out, and selection in Korea's National Cancer Screening Program," Journal of Health Economics, Elsevier, vol. 53(C), pages 100-116.
    11. Evans, William N & Graham, John D, 1991. "Risk Reduction or Risk Compensation? The Case of Mandatory Safety-Belt Use Laws," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 61-73, January.
    12. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    13. Belot, Michèle & Choi, Syngjoo & Jamison, Julian C. & Papageorge, Nicholas W. & Tripodi, Egon & van den Broek-Altenburg, Eline, 2020. "Six-Country Survey on COVID-19," IZA Discussion Papers 13230, Institute of Labor Economics (IZA).
    14. Christian N. Brinch & Magne Mogstad & Matthew Wiswall, 2017. "Beyond LATE with a Discrete Instrument," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 985-1039.
    15. Taehoon KIM, 2021. "Age culture, school-entry cutoff, and the choices of birth month and school-entry timing in South Korea," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 87(1), pages 33-65, March.
    16. Eiji Yamamura & Youki Kosaka & Yoshiro Tsutsui & Fumio Ohtake, 2022. "Gender differences of the effect of vaccination on perceptions of COVID-19 and mental health in Japan," Papers 2203.07663, arXiv.org.
    17. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    18. 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. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    2. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," Labour Economics, Elsevier, vol. 79(C).
    3. Amanda E Kowalski, 2023. "Behaviour within a Clinical Trial and Implications for Mammography Guidelines," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 432-462.
    4. Belmonte, A & Pickard, H, 2022. "Safe at Last? LATE Effects of a Mass Immunization Campaign on Households’ Economic Insecurity," CAGE Online Working Paper Series 604, Competitive Advantage in the Global Economy (CAGE).
    5. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    6. Thomas S. Dee & Hans Henrik Sievertsen, 2018. "The gift of time? School starting age and mental health," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 781-802, May.
    7. Lee, Ajin, 2020. "How do hospitals respond to managed care? Evidence from at-risk newborns," Journal of Public Economics, Elsevier, vol. 184(C).
    8. Matti Sarvimäki & Kari Hämäläinen, 2016. "Integrating Immigrants: The Impact of Restructuring Active Labor Market Programs," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 479-508.
    9. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    10. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    11. Michael R.M. Abrigo & Timothy J. Halliday & Teresa Molina, 2022. "Expanding health insurance for the elderly of the Philippines," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 500-520, April.
    12. Erkmen G. Aslim & Wei Fu & Erdal Tekin & Shijun You, 2023. "From Syringes to Dishes: Improving Food Security through Vaccination," NBER Working Papers 31045, National Bureau of Economic Research, Inc.
    13. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
    14. Thomas Dee & Emily Penner, 2016. "The Causal Effects of Cultural Relevance: Evidence from an Ethnic Studies Curriculum," NBER Working Papers 21865, National Bureau of Economic Research, Inc.
    15. Geneletti, Sara & Baio, Gianluca & O'Keeffe, Aidan & Ricciardi, Federico, 2019. "Bayesian modelling for binary outcomes in the regression discontinuity design," LSE Research Online Documents on Economics 100096, London School of Economics and Political Science, LSE Library.
    16. Nibbering, Didier & Oosterveen, Matthijs & Silva, Pedro Luís, 2022. "Clustered Local Average Treatment Effects: Fields of Study and Academic Student Progress," IZA Discussion Papers 15159, Institute of Labor Economics (IZA).
    17. Michael Hillebrecht & Stefan Klonner & Rainer Sauerborn & Alie Sié & Aurélia Souares, 2021. "The Demand for Health Insurance in a Poor Economy: Evidence from Burkina Faso," Economic Development and Cultural Change, University of Chicago Press, vol. 69(4), pages 1273-1300.
    18. Yoosik Shin, 2023. "School starting age policy and students' risky health behaviors," Health Economics, John Wiley & Sons, Ltd., vol. 32(11), pages 2446-2459, November.
    19. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    20. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.

    More about this item

    Keywords

    COVID-19; vaccine take-up; selection; risk compensation; social distancing;
    All these keywords.

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp16053. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.