IDEAS home Printed from https://ideas.repec.org/a/nas/journl/v118y2021pe2103420118.html
   My bibliography  Save this article

The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis

Author

Listed:
  • Victor Chernozhukov

    (a Department of Economics, Massachusetts Institute of Technology, Cambridge, MA 02142;; b Center for Statistics and Data Science, Massachusetts Institute of Technology, Cambridge, MA 02139;)

  • Hiroyuki Kasahara

    (c Vancouver School of Economics, University of British Columbia, Vancouver, BC V6T1L4, Canada)

  • Paul Schrimpf

    (c Vancouver School of Economics, University of British Columbia, Vancouver, BC V6T1L4, Canada)

Abstract

This paper examines whether the opening of K–12 schools may lead to the spread of COVID-19. Analyzing how an increase of COVID-19 cases is related to the timing of opening K–12 schools in the United States, we find that counties that opened K–12 schools with in-person learning experienced an increase in the growth rate of cases by 5 percentage points on average, controlling for a variety of policies, past infection rates, and other factors. This association of K–12 school visits with case growth is stronger when mask wearing is not mandated for staff at school. These findings support policies that promote masking and other precautionary measures at schools and giving vaccine priority to education workers.

Suggested Citation

  • Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf, 2021. "The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(42), pages 2103420118-, October.
  • Handle: RePEc:nas:journl:v:118:y:2021:p:e2103420118
    as

    Download full text from publisher

    File URL: http://www.pnas.org/content/118/42/e2103420118.full
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Wright, Austin L. & Sonin, Konstantin & Driscoll, Jesse & Wilson, Jarnickae, 2020. "Poverty and economic dislocation reduce compliance with COVID-19 shelter-in-place protocols," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 544-554.
    2. Serina Chang & Emma Pierson & Pang Wei Koh & Jaline Gerardin & Beth Redbird & David Grusky & Jure Leskovec, 2021. "Mobility network models of COVID-19 explain inequities and inform reopening," Nature, Nature, vol. 589(7840), pages 82-87, January.
    3. Jinyong Hahn & Whitney Newey, 2004. "Jackknife and Analytical Bias Reduction for Nonlinear Panel Models," Econometrica, Econometric Society, vol. 72(4), pages 1295-1319, July.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kurmann, André & Lalé, Etienne, 2021. "School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom," School of Economics Working Paper Series 2021-18, LeBow College of Business, Drexel University.
    2. Marc Diederichs & Reyn van Ewijk & Ingo E. Isphording & Nico Pestel, 2022. "Schools under mandatory testing can mitigate the spread of SARS-CoV-2," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(26), pages 2201724119-, June.
    3. Emanuele Amodio & Michele Battisti & Antonio Francesco Gravina & Andrea Mario Lavezzi & Giuseppe Maggio, 2023. "School‐age vaccination, school openings and Covid‐19 diffusion," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1084-1100, May.
    4. 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.
    5. Kisho Hoshi & Hiroyuki Kasahara & Ryo Makioka & Michio Suzuki & Satoshi Tanaka, 2021. "Trade-off between job losses and the spread of COVID-19 in Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 683-716, October.
    6. Koppa, Vijetha & West, Jeremy, 2022. "School reopenings, COVID-19, and employment," Economics Letters, Elsevier, vol. 212(C).
    7. Lattanzio, Salvatore, 2024. "Schools and the transmission of Sars-Cov-2: Evidence from Italy," Economics & Human Biology, Elsevier, vol. 52(C).
    8. Amodio, Emanuele & Battisti, Michele & Kourtellos, Andros & Maggio, Giuseppe & Maida, Carmelo Massimo, 2022. "Schools opening and Covid-19 diffusion: Evidence from geolocalized microdata," European Economic Review, Elsevier, vol. 143(C).

    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. Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf, 2021. "The Association of Opening K-12 Schools and Colleges with the Spread of Covid-19 in the United States: County-Level Panel Data Analysis," CESifo Working Paper Series 8929, CESifo.
    2. Byungjin Park & Joonmo Cho, 2023. "COVID-19 and Age Disparity in Credit Card Expenditures in Korea: Implications on the Government Relief Fund," SAGE Open, , vol. 13(4), pages 21582440231, December.
    3. Haddou, Samira, 2024. "Determinants of CDS in core and peripheral European countries: A comparative study during crisis and calm periods," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    4. Taisuke Otsu & Martin Pesendorfer & Yuya Sasaki & Yuya Takahashi, 2022. "Estimation Of (Static Or Dynamic) Games Under Equilibrium Multiplicity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1165-1188, August.
    5. Kato, Kengo & F. Galvao, Antonio & Montes-Rojas, Gabriel V., 2012. "Asymptotics for panel quantile regression models with individual effects," Journal of Econometrics, Elsevier, vol. 170(1), pages 76-91.
    6. Hoderlein, Stefan & White, Halbert, 2012. "Nonparametric identification in nonseparable panel data models with generalized fixed effects," Journal of Econometrics, Elsevier, vol. 168(2), pages 300-314.
    7. Nicola Fuchs-Schündeln & Dirk Krueger & André Kurmann & Etienne Lalé & Alexander Ludwig & Irina Popova, 2023. "The Fiscal and Welfare Effects of Policy Responses to the Covid-19 School Closures," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 35-98, March.
    8. Hou, Yanxi & Leng, Xuan & Peng, Liang & Zhou, Yinggang, 2024. "Panel quantile regression for extreme risk," Journal of Econometrics, Elsevier, vol. 240(1).
    9. Lee, Yoon-Jin & Okui, Ryo & Shintani, Mototsugu, 2018. "Asymptotic inference for dynamic panel estimators of infinite order autoregressive processes," Journal of Econometrics, Elsevier, vol. 204(2), pages 147-158.
    10. repec:spo:wpmain:info:hdl:2441/eu4vqp9ompqllr09ij4j0h0h1 is not listed on IDEAS
    11. Anindya Ghose & Beibei Li & Meghanath Macha & Chenshuo Sun & Natasha Ying Zhang Foutz, 2020. "Trading Privacy for the Greater Social Good: How Did America React During COVID-19?," Papers 2006.05859, arXiv.org.
    12. Anubhab Gupta & Heng Zhu & Miki Khanh Doan & Aleksandr Michuda & Binoy Majumder, 2021. "Economic Impacts of the COVID−19 Lockdown in a Remittance‐Dependent Region," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 466-485, March.
    13. Panarello, Demetrio, 2021. "Economic insecurity, conservatism, and the crisis of environmentalism: 30 years of evidence," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    14. Andersen, Torben G. & Fusari, Nicola & Todorov, Viktor & Varneskov, Rasmus T., 2019. "Unified inference for nonlinear factor models from panels with fixed and large time span," Journal of Econometrics, Elsevier, vol. 212(1), pages 4-25.
    15. Harbatkin, Erica & Strunk, Katharine O. & McIlwain, Aliyah, 2023. "School turnaround in a pandemic: An examination of the outsized implications of COVID-19 on low-performing turnaround schools, districts, and their communities," Economics of Education Review, Elsevier, vol. 97(C).
    16. Klein Teeselink, Bouke & Potter van Loon, Rogier J.D. & van den Assem, Martijn J. & van Dolder, Dennie, 2020. "Incentives, performance and choking in darts," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 38-52.
    17. Arda Gitmez & Konstantine Sonin & Austin L. Wright, 2020. "Political Economy of Crisis Response," Working Papers 2020-68, Becker Friedman Institute for Research In Economics.
    18. Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2021. "Sufficient statistics for unobserved heterogeneity in structural dynamic logit models," Journal of Econometrics, Elsevier, vol. 223(2), pages 280-311.
    19. Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.
    20. Dhaene, Geert & Jochmans, Koen, 2016. "Likelihood Inference In An Autoregression With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1178-1215, October.
    21. Lu, Xuefei & Borgonovo, Emanuele, 2023. "Global sensitivity analysis in epidemiological modeling," European Journal of Operational Research, Elsevier, vol. 304(1), pages 9-24.

    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:nas:journl:v:118:y:2021:p:e2103420118. 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: Eric Cain (email available below). General contact details of provider: http://www.pnas.org/ .

    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.