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COVID-19 Vaccination Mandates and Vaccine Uptake

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  • Karaivanov, Alexander

    (Simon Fraser University)

  • Kim, Dongwoo

    (Simon Fraser University)

  • Lu, Shih En

    (Simon Fraser University)

  • Shigeoka, Hitoshi

    (University of Tokyo)

Abstract

We evaluate the impact of government mandated proof of vaccination requirements for access to public venues and non-essential businesses on COVID-19 vaccine uptake. We find that the announcement of a mandate is associated with a rapid and significant surge in new vaccinations (more than 60% increase in weekly first doses) using the variation in the timing of these measures across Canadian provinces in a differencein-differences approach. Time-series analysis for each province and for France, Italy and Germany corroborates this finding, and we estimate cumulative gains of up to 5 percentage points in provincial vaccination rates and 790,000 or more first doses for Canada as a whole as of October 31, 2021 (5 to 13 weeks after the provincial mandate announcements). We also find large vaccination gains in France (3 to 5 mln first doses), Italy (around 6 mln) and Germany (around 3.5 mln) 11 to 16 weeks after the proof of vaccination mandate announcements.

Suggested Citation

  • Karaivanov, Alexander & Kim, Dongwoo & Lu, Shih En & Shigeoka, Hitoshi, 2021. "COVID-19 Vaccination Mandates and Vaccine Uptake," IZA Discussion Papers 14946, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp14946
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    1. Klüver, Heike & Hartmann, Felix & Humphreys, Macartan & Geissler, Ferdinand & Giesecke, Johannes, 2021. "Incentives can spur COVID-19 vaccination uptake," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 118(36), pages 1-1.
    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. Giles, David & Scott, Murray, 1992. "Some consequences of using the Chow test in the context of autocorrelated disturbances," Economics Letters, Elsevier, vol. 38(2), pages 145-150, February.
    4. Oster, Emily, 2018. "Does disease cause vaccination? Disease outbreaks and vaccination response," Journal of Health Economics, Elsevier, vol. 57(C), pages 90-101.
    5. Ginger Zhe Jin & Thomas G. Koch, 2021. "Learning By Suffering?," American Journal of Health Economics, University of Chicago Press, vol. 7(1), pages 68-94.
    6. Corey White, 2021. "Measuring Social and Externality Benefits of Influenza Vaccination," Journal of Human Resources, University of Wisconsin Press, vol. 56(3), pages 749-785.
    7. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    8. Lawler, Emily C., 2017. "Effectiveness of vaccination recommendations versus mandates: Evidence from the hepatitis A vaccine," Journal of Health Economics, Elsevier, vol. 52(C), pages 45-62.
    9. Margaret E. Brehm & Paul A. Brehm & Martin Saavedra, 2022. "The Ohio Vaccine Lottery and Starting Vaccination Rates," American Journal of Health Economics, University of Chicago Press, vol. 8(3), pages 387-411.
    10. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    11. 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.
    12. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
    13. Karaivanov, Alexander & Lu, Shih En & Shigeoka, Hitoshi & Chen, Cong & Pamplona, Stephanie, 2021. "Face masks, public policies and slowing the spread of COVID-19: Evidence from Canada," Journal of Health Economics, Elsevier, vol. 78(C).
    14. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    15. Chernozhukov, Victor & Kasahara, Hiroyuki & Schrimpf, Paul, 2021. "Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S," Journal of Econometrics, Elsevier, vol. 220(1), pages 23-62.
    16. 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.
    17. 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.
    18. Barber, Andrew & West, Jeremy, 2022. "Conditional cash lotteries increase COVID-19 vaccination rates," Journal of Health Economics, Elsevier, vol. 81(C).
    19. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    20. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    21. Ariel Linden, 2015. "Conducting interrupted time-series analysis for single- and multiple-group comparisons," Stata Journal, StataCorp LP, vol. 15(2), pages 480-500, June.
    22. Solomon Hsiang & Daniel Allen & Sébastien Annan-Phan & Kendon Bell & Ian Bolliger & Trinetta Chong & Hannah Druckenmiller & Luna Yue Huang & Andrew Hultgren & Emma Krasovich & Peiley Lau & Jaecheol Le, 2020. "The effect of large-scale anti-contagion policies on the COVID-19 pandemic," Nature, Nature, vol. 584(7820), pages 262-267, August.
    23. Tom Chang & Mireille Jacobson & Manisha Shah & Rajiv Pramanik & Samir B. Shah, 2021. "Financial Incentives and Other Nudges Do Not Increase COVID-19 Vaccinations among the Vaccine Hesitant," NBER Working Papers 29403, National Bureau of Economic Research, Inc.
    24. Schaller, Jessamyn & Schulkind, Lisa & Shapiro, Teny, 2019. "Disease outbreaks, healthcare utilization, and on-time immunization in the first year of life," Journal of Health Economics, Elsevier, vol. 67(C).
    25. Churchill, Brandyn F., 2021. "How important is the structure of school vaccine requirement opt-out provisions? Evidence from Washington, DC's HPV vaccine requirement," Journal of Health Economics, Elsevier, vol. 78(C).
    26. Christopher S. Carpenter & Emily C. Lawler, 2019. "Direct and Spillover Effects of Middle School Vaccination Requirements," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 95-125, February.
    27. Hengchen Dai & Silvia Saccardo & Maria A. Han & Lily Roh & Naveen Raja & Sitaram Vangala & Hardikkumar Modi & Shital Pandya & Michael Sloyan & Daniel M. Croymans, 2021. "Behavioural nudges increase COVID-19 vaccinations," Nature, Nature, vol. 597(7876), pages 404-409, September.
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    Cited by:

    1. Giulietti, Corrado & Vlassopoulos, Michael & Zenou, Yves, 2021. "When Reality Bites: Local Deaths and Vaccine Take-Up," GLO Discussion Paper Series 999, Global Labor Organization (GLO).
    2. Elinder, Mikael & Erixson, Oscar & Öhman, Mattias, 2023. "Cognitive ability, health policy, and the dynamics of COVID-19 vaccination," Journal of Health Economics, Elsevier, vol. 91(C).
    3. Lorena Charrier & Jacopo Garlasco & Robin Thomas & Paolo Gardois & Marco Bo & Carla Maria Zotti, 2022. "An Overview of Strategies to Improve Vaccination Compliance before and during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(17), pages 1-13, September.
    4. Santolini, Raffaella, 2023. "The COVID-19 green certificate’s effect on vaccine uptake in French and Italian regions," Journal of Policy Modeling, Elsevier, vol. 45(5), pages 1036-1057.
    5. Humlum, Maria Knoth & Morthorst, Marius Opstrup & Thingholm, Peter Rønø, 2024. "Sibling spillovers and the choice to get vaccinated: Evidence from a regression discontinuity design," Journal of Health Economics, Elsevier, vol. 94(C).
    6. Raffaella Santolini, 2022. "The Covid-19 Green Certificate'S Effect On Vaccine Uptake In Italian Regions," Working Papers 468, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Hirani, Jonas Cuzulan & Wüst, Miriam, 2024. "Reminder design and childhood vaccination coverage," Journal of Health Economics, Elsevier, vol. 93(C).
    8. François, Abel & Gergaud, Olivier & Noury, Abdul, 2023. "Can health passport overcome political hurdles to COVID-19 vaccination?," European Journal of Political Economy, Elsevier, vol. 80(C).
    9. Steinmayr, Andreas & Rossi, Manuel, 2022. "Vaccine-Skeptic Physicians and COVID-19 Vaccination Rates," IZA Discussion Papers 15730, Institute of Labor Economics (IZA).
    10. Serrano-Alarcón, Manuel & Mckee, Martin & Palumbo, Leonardo & Salvi, Cristiana & Johansen, Anne & Stuckler, David, 2024. "How to increase COVID-19 vaccination among a population with persistently suboptimal vaccine uptake? Evidence from the North Macedonia mobile vaccination and public health advice caravan," Health Policy, Elsevier, vol. 139(C).
    11. Kim Saxton, M. & Colby, Helen & Saxton, Todd & Pasumarti, Vikram, 2024. "Why or How? the impact of Construal-Level Theory on vaccine message receptivity," Journal of Business Research, Elsevier, vol. 172(C).
    12. Md. Maruf Ahmed Molla & Jannat Ara Disha & Mahmuda Yeasmin & Asish Kumar Ghosh & Tasnim Nafisa, 2021. "Decreasing transmission and initiation of countrywide vaccination: Key challenges for future management of COVID‐19 pandemic in Bangladesh," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(4), pages 1014-1029, July.
    13. Rahi Abouk & John S. Earle & Johanna Catherine Maclean & Sungbin Park, 2024. "Promoting Public Health with Blunt Instruments: Evidence from Vaccine Mandates," NBER Working Papers 32286, National Bureau of Economic Research, Inc.
    14. Dewatripont, Mathias, 2022. "Which policies for vaccine innovation and delivery in Europe?," International Journal of Industrial Organization, Elsevier, vol. 84(C).
    15. Balisacan, Arsenio M. & dela Cruz, Russel Matthew M., 2021. "When a Pandemic Strikes: Balancing Health and Economy toward Sustainable and Inclusive Recovery," MPRA Paper 111259, University Library of Munich, Germany.
    16. Giulietti, Corrado & Vlassopoulos, Michael & Zenou, Yves, 2023. "When reality bites: Local deaths and vaccine take-up," European Economic Review, Elsevier, vol. 156(C).
    17. Bussolo, Maurizio & Sarma, Nayantara & Torre, Iván, 2023. "The links between COVID-19 vaccine acceptance and non-pharmaceutical interventions," Social Science & Medicine, Elsevier, vol. 320(C).
    18. John Steven Ott & Frances L. Edwards & Pitima Boonyarak, 2021. "Global Responses to the COVID-19 Pandemic," Public Organization Review, Springer, vol. 21(4), pages 619-627, December.

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    More about this item

    Keywords

    COVID-19; vaccine mandates; proof of vaccination; vaccine uptake; vaccine hesitancy; difference-in-differences; time-series analysis; counterfactuals;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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