IDEAS home Printed from https://ideas.repec.org/p/sfu/sfudps/dp20-09.html
   My bibliography  Save this paper

Face Masks, Public Policies and Slowing the Spread of COVID-19: Evidence from Canada

Author

Listed:
  • Alexander Karaivanov

    (Simon Fraser University)

  • Hitoshi Shigeoka

    (Simon Fraser University)

  • Shih En Lu

    (Simon Fraser University)

  • Cong Chen

    (Simon Fraser University)

  • Stephanie Pamplona

    (Simon Fraser University)

Abstract

We estimate the impact of mask mandates and other non-pharmaceutical interventions (NPI) on COVID-19 case growth in Canada, including regulations on businesses and gatherings, school closures, travel and self-isolation, and long-term care homes. We partially account for behavioral responses using Google mobility data. Our identification approach exploits variation in the timing of indoor face mask mandates staggered over two months in the 34 public health regions in Ontario, Canada's most populous province. We find that, in the first few weeks after implementation, mask mandates are associated with a reduction of 25 percent in the weekly number of new COVID-19 cases. Additional analysis with province-level data provides corroborating evidence. Counterfactual policy simulations suggest that mandating indoor masks nationwide in early July could have reduced the weekly number of new cases in Canada by 25 to 40 percent in mid-August, which translates into 700 to 1,100 fewer cases per week.

Suggested Citation

  • Alexander Karaivanov & Hitoshi Shigeoka & Shih En Lu & Cong Chen & Stephanie Pamplona, 2020. "Face Masks, Public Policies and Slowing the Spread of COVID-19: Evidence from Canada," Discussion Papers dp20-09, Department of Economics, Simon Fraser University.
    • Handle: RePEc:sfu:sfudps:dp20-09
    as

    Download full text from publisher

    File URL: http://www.sfu.ca/repec-econ/sfu/sfudps/dp20-09.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Mitze, Timo & Kosfeld, Reinhold & Rode, Johannes & Wälde, Klaus, 2020. "Face masks considerably reduce COVID-19 cases in Germany," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 124130, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Mitze, Timo & Kosfeld, Reinhold & Rode, Johannes & Wälde, Klaus, 2020. "Face masks considerably reduce COVID-19 cases in Germany," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 124587, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. 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.
    5. 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.
    6. 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.
    7. Andrew Goodman-Bacon, 2018. "Difference-in-Differences with Variation in Treatment Timing," NBER Working Papers 25018, National Bureau of Economic Research, Inc.
    8. Anwar Sheluchin & Regan M. Johnston & Clifton van der Linden, 2020. "Public Responses to Policy Reversals: The Case of Mask Usage in Canada during COVID-19," Canadian Public Policy, University of Toronto Press, vol. 46(S2), pages 119-126, August.
    9. Yuksel, Mutlu & Aydede, Yigit & Begolli, Francisko, 2020. "Dynamics of Social Mobility during the COVID-19 Pandemic in Canada," IZA Discussion Papers 13376, Institute of Labor Economics (IZA).
    10. Seres, Gyula & Balleyer, Anna & Cerutti, Nicola & Friedrichsen, Jana & Süer, Müge, 2020. "Face mask use and physical distancing before and after mandatory masking: Evidence from public waiting lines," Discussion Papers, Research Unit: Economics of Change SP II 2020-305, WZB Berlin Social Science Center.
    11. David A. Armstrong II & Matthew J. Lebo & Jack Lucas, 2020. "Do COVID-19 Policies Affect Mobility Behaviour? Evidence from 75 Canadian and American Cities," Canadian Public Policy, University of Toronto Press, vol. 46(S2), pages 127-144, August.
    12. 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.
    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. Germain Gauthier, 2021. "On the Use of Two-Way Fixed Effects Models for Policy Evaluation During Pandemics," Papers 2106.10949, arXiv.org.
    2. Seres, Gyula & Balleyer, Anna Helen & Cerutti, Nicola & Danilov, Anastasia & Friedrichsen, Jana & Liu, Yiming & Süer, Müge, 2021. "Face masks increase compliance with physical distancing recommendations during the COVID-19 pandemic," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(2), pages 139-158.
    3. Alexander Karaivanov & Dongwoo Kim & Shih En Lu & Hitoshi Shigeoka, 2022. "COVID-19 vaccination mandates and vaccine uptake," Nature Human Behaviour, Nature, vol. 6(12), pages 1615-1624, December.
    4. Callaway, Brantly & Li, Tong, 2023. "Policy evaluation during a pandemic," Journal of Econometrics, Elsevier, vol. 236(1).
    5. Miquel Oliu-Barton & Bary S. R. Pradelski & Nicolas Woloszko & Lionel Guetta-Jeanrenaud & Philippe Aghion & Patrick Artus & Arnaud Fontanet & Philippe Martin & Guntram B. Wolff, 2022. "The effect of COVID certificates on vaccine uptake, health outcomes, and the economy," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    6. 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.
    7. Bruno Ferman, 2023. "Inference in difference‐in‐differences: How much should we trust in independent clusters?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 358-369, April.
    8. Seres, Gyula & Balleyer, Anna & Cerutti, Nicola & Friedrichsen, Jana & Süer, Müge, 2021. "Face mask use and physical distancing before and after mandatory masking: No evidence on risk compensation in public waiting lines," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 765-781.
    9. Léa BOU SLEIMAN & Germain GAUTHIER, 2020. "COVID-19: Reduced forms have gone viral, but what do they tell us?," Working Papers 2020-32, Center for Research in Economics and Statistics, revised 18 Jan 2021.
    10. Apel, Johannes & Rohde, Niklas & Marcus, Jan, 2023. "The effect of a nighttime curfew on the spread of COVID-19," Health Policy, Elsevier, vol. 129(C).
    11. Luis Alvarez & Bruno Ferman, 2020. "Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation," Papers 2006.16997, arXiv.org, revised Apr 2023.
    12. Maclean, J. Catherine & Pichler, Stefan & Ziebarth, Nicolas R., 2020. "Mandated Sick Pay: Coverage, Utilization, and Welfare Effects," IZA Discussion Papers 13132, Institute of Labor Economics (IZA).
    13. Carpenter, Christopher S. & Churchill, Brandyn F. & Marcus, Michelle, 2023. "Bad lighting: Effects of youth indoor tanning prohibitions," Journal of Health Economics, Elsevier, vol. 88(C).
    14. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    15. Austin L. Wright & Geet Chawla & Luke Chen & Anthony Farmer, 2020. "Tracking Mask Mandates during the COVID-19 Pandemic," Working Papers 2020-104, Becker Friedman Institute for Research In Economics.
    16. Rodríguez-González, Ana, 2021. "The Impact of the Female Advantage in Education on the Marriage Market," Working Papers 2021:5, Lund University, Department of Economics.
    17. Bergeaud, Antonin & Mazet-Sonilhac, Clément & Malgouyres, Clément & Signorelli, Sara, 2021. "Technological Change and Domestic Outsourcing," IZA Discussion Papers 14603, Institute of Labor Economics (IZA).
    18. Kurt Schmidheiny & Sebastian Siegloch, 2023. "On event studies and distributed‐lags in two‐way fixed effects models: Identification, equivalence, and generalization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 695-713, August.
    19. Bhattacharjee, Arnab & Aravena, Claudia & Castillo, Natalia & Ehrlich, Marco & Taou, Nadia & Wagner, Thomas, 2022. "Agroforestry Programs in the Colombian Amazon: Selection, Treatment and Exposure Effects on Deforestation," National Institute of Economic and Social Research (NIESR) Discussion Papers 537, National Institute of Economic and Social Research.
    20. Samuel Nocito & Marcello Sartarelli & Francesco Sobbrio, 2021. "A Beam of Light: Media, Tourism & Economic Development," CESifo Working Paper Series 9055, CESifo.

    More about this item

    Keywords

    COVID-19; face mask mandates; non-pharmaceutical interventions; 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

    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:sfu:sfudps:dp20-09. 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: Working Paper Coordinator (email available below). General contact details of provider: https://edirc.repec.org/data/desfuca.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.