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The common interests of health protection and the economy: evidence from scenario calculations of COVID-19 containment policies

Author

Listed:
  • Florian Dorn

    (ifo Institute – Leibniz Institute for Economic Research at the University of Munich
    University of Munich
    CESifo Munich)

  • Sahamoddin Khailaie

    (Helmholtz Centre for Infection Research)

  • Marc Stoeckli

    (ifo Institute – Leibniz Institute for Economic Research at the University of Munich
    University of Munich)

  • Sebastian C. Binder

    (Helmholtz Centre for Infection Research)

  • Tanmay Mitra

    (Helmholtz Centre for Infection Research)

  • Berit Lange

    (Helmholtz Centre for Infection Research (HZI)
    German Center for Infection Research (DZIF))

  • Stefan Lautenbacher

    (ifo Institute – Leibniz Institute for Economic Research at the University of Munich
    University of Munich)

  • Andreas Peichl

    (ifo Institute – Leibniz Institute for Economic Research at the University of Munich
    University of Munich
    CESifo Munich)

  • Patrizio Vanella

    (Helmholtz Centre for Infection Research (HZI)
    University of Rostock)

  • Timo Wollmershäuser

    (ifo Institute – Leibniz Institute for Economic Research at the University of Munich
    University of Munich
    CESifo Munich)

  • Clemens Fuest

    (ifo Institute – Leibniz Institute for Economic Research at the University of Munich
    University of Munich
    CESifo Munich)

  • Michael Meyer-Hermann

    (Helmholtz Centre for Infection Research
    Technische Universität Braunschweig)

Abstract

We develop a novel approach integrating epidemiological and economic models that allows data-based simulations during a pandemic. We examine the economically optimal opening strategy that can be reconciled with the containment of a pandemic. The empirical evidence is based on data from Germany during the SARS-CoV-2 pandemic. Our empirical findings reject the view that there is necessarily a conflict between health protection and economic interests and suggest a non-linear U-shape relationship: it is in the interest of public health and the economy to balance non-pharmaceutical interventions in a manner that further reduces the incidence of infections. Our simulations suggest that a prudent strategy that leads to a reproduction number of around 0.75 is economically optimal. Too restrictive policies cause massive economic costs. Conversely, policies that are too loose lead to higher death tolls and higher economic costs in the long run. We suggest this finding as a guide for policy-makers in balancing interests of public health and the economy during a pandemic.

Suggested Citation

  • Florian Dorn & Sahamoddin Khailaie & Marc Stoeckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & , 2023. "The common interests of health protection and the economy: evidence from scenario calculations of COVID-19 containment policies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(1), pages 67-74, February.
  • Handle: RePEc:spr:eujhec:v:24:y:2023:i:1:d:10.1007_s10198-022-01452-y
    DOI: 10.1007/s10198-022-01452-y
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    1. 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).
    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) 124587, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Dorn, Florian & Lange, Berit & Braml, Martin & Gstrein, David & Nyirenda, John L.Z. & Vanella, Patrizio & Winter, Joachim & Fuest, Clemens & Krause, Gérard, 2023. "The challenge of estimating the direct and indirect effects of COVID-19 interventions – Toward an integrated economic and epidemiological approach," Economics & Human Biology, Elsevier, vol. 49(C).
    2. Virginia Romano & Mirko Ancillotti & Deborah Mascalzoni & Roberta Biasiotto, 2022. "Italians locked down: people’s responses to early COVID-19 pandemic public health measures," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    3. Bruckmeier, Kerstin & Peichl, Andreas & Popp, Martin & Wiemers, Jürgen & Wollmershäuser, Timo, 2020. "Distributional Effects of Macroeconomic Shocks in Real-Time: A Novel Method Applied to the Covid-19 Crisis in Germany," IAB-Discussion Paper 202036, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    Keywords

    COVID-19; Optimal strategy; Economy; Deaths; Integrated simulations; Real-time analysis;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I19 - Health, Education, and Welfare - - Health - - - Other

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