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The Effect of Containment Measures on the COVID-19 Pandemic

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  • Ostry, Jonathan D.
  • Deb, Pragyan
  • Furceri, Davide
  • Tawk, Nour

Abstract

Countries have implemented several containment measures to halt the spread of the 2019 coronavirus disease, but it remains unclear the extent to which these unprecedented measures have been successful. We examine this question using daily data on the number of coronavirus disease cases as well as on real-time containment measures implemented by countries. Results suggest that these measures have been very effective in flattening the “pandemic curve†, but there is significant heterogeneity across countries. Effectiveness is enhanced when measures are implemented quickly, where de facto mobility is curtailed, in countries with lower temperatures and population density, as well as in countries with a larger share of the elderly in total population and stronger health systems. We also find that easing of containment measures has resulted in an increase in the number of cases, but the effect has been lower (in absolute value) than that from a tightening of measures.

Suggested Citation

  • Ostry, Jonathan D. & Deb, Pragyan & Furceri, Davide & Tawk, Nour, 2020. "The Effect of Containment Measures on the COVID-19 Pandemic," CEPR Discussion Papers 15086, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:15086
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    1. ., 2020. "Innovation as science applied," Chapters, in: The Idea of Technological Innovation, chapter 2, pages 28-35, Edward Elgar Publishing.
    2. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    3. Rikard Forslid & Mathias Herzing, 2021. "Assessing the consequences of quarantines during a pandemic," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(7), pages 1115-1128, September.
    4. Santos, Cezar & Brotherhood, Luiz & Kircher, Philipp & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    5. ., 2020. "Tensions and struggles in Europe-level science," Chapters, in: Science Evaluation and Status Creation, chapter 3, pages 32-50, Edward Elgar Publishing.
    6. Yoed N. Kenett & Nicole M. Beckage & Cynthia S. Q. Siew & Dirk U. Wulff, 2020. "Cognitive Network Science: A New Frontier," Complexity, Hindawi, vol. 2020, pages 1-4, April.
    7. Alan J. Auerbach & Yuriy Gorodnichenko, 2013. "Output Spillovers from Fiscal Policy," American Economic Review, American Economic Association, vol. 103(3), pages 141-146, May.
    8. Vanessa N. L. Wong & Justine D. Shaw, 2020. "Build diversity among science prize winners," Nature, Nature, vol. 580(7802), pages 185-185, April.
    9. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    10. Christof Weinhardt & Simon Kloker & Oliver Hinz & Wil M. P. Aalst, 2020. "Citizen Science in Information Systems Research," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 273-277, August.
    11. ., 2020. "The makings of an authority in science," Chapters, in: Science Evaluation and Status Creation, chapter 1, pages 2-16, Edward Elgar Publishing.
    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.
    13. ., 2020. "Constructing a status intermediary in science," Chapters, in: Science Evaluation and Status Creation, chapter 6, pages 118-134, Edward Elgar Publishing.
    14. Coen N. Teulings & Nikolay Zubanov, 2014. "Is Economic Recovery A Myth? Robust Estimation Of Impulse Responses," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 497-514, April.
    15. Valerie A. Ramey & Sarah Zubairy, 2018. "Government Spending Multipliers in Good Times and in Bad: Evidence from US Historical Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 850-901.
    16. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
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    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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