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Should Contact Bans Have Been Lifted More in Germany?

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Listed:
  • Jean Roch Donsimoni
  • René Glawion
  • Bodo Plachter
  • Klaus Wälde
  • Constantin Weiser

Abstract

Many countries consider the lifting of restrictions of social contacts (RSC). We quantify the effects of RSC for Germany. We initially employ a purely statistical approach to predicting prevalence of Covid-19 if RSC had been upheld after 20 April. We employ these findings and feed them into our theoretical model. We find that the peak of the number of sick individuals would have been reached already end of April. The number of sick individuals would have fallen below 1000 at the beginning of July. If restrictions had been lifted completely on April 20, the number of sick should have risen quickly again from around 27 April. A balance between economic and individual costs of RSC and public health objectives consists in lifting RSC for activities that have high economic benefits but low health costs. In the absence of large-scale representative testing of CoV-2 infections, these activities can most easily be identified if federal states of Germany adopted exit strategies that differ across states.

Suggested Citation

  • Jean Roch Donsimoni & René Glawion & Bodo Plachter & Klaus Wälde & Constantin Weiser, 2020. "Should Contact Bans Have Been Lifted More in Germany?," CESifo Economic Studies, CESifo, vol. 66(2), pages 115-133.
    • Handle: RePEc:oup:cesifo:v:66:y:2020:i:2:p:115-133.
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    File URL: http://hdl.handle.net/10.1093/cesifo/ifaa004
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    References listed on IDEAS

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    1. Diamond, Peter A, 1982. "Aggregate Demand Management in Search Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 90(5), pages 881-894, October.
    2. Jean Roch Donsimoni & René Glawion & Bodo Plachter & Constantin Weiser & Klaus Wälde, 2020. "Should contact bans be lifted in Germany?," Working Papers 2008, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    3. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
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    Cited by:

    1. Asli Demirgüç-Kunt & Michael Lokshin & Iván Torre, 2021. "Opening-Up Trajectories and Economic Recovery: Lessons after the First Wave of the COVID-19 Pandemic," CESifo Economic Studies, CESifo, vol. 67(3), pages 332-369.
    2. Reinhold Kosfeld & Timo Mitze & Johannes Rode & Klaus Wälde, 2021. "The Covid‐19 containment effects of public health measures: A spatial difference‐in‐differences approach," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 799-825, September.
    3. Wälde, Klaus, 2020. "How to Remove the Testing Bias in CoV-2 Statistics," IZA Discussion Papers 13785, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    Covid-19; SARS-CoV-2; forecast Germany; epidemic; pandemic;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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