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COVID-19 Crisis Management in Luxembourg: Insights from an Epidemionomic Approach

Author

Listed:
  • Michal Burzynski
  • Joël Machado
  • Atte Aalto
  • Michel Beine
  • Tom Haas
  • Françoise Kemp
  • Stefano Magni
  • Laurent Mombaerts
  • Pierre Picard
  • Daniele Proverbio
  • Alexander Skupin
  • Frédéric Docquier

Abstract

We develop an epidemionomic model that jointly analyzes the health and economic responses to the COVID-19 crisis and to the related containment and public health policy measures implemented in Luxembourg and in the Greater Region. The model has a weekly structure and covers the whole year 2020. With a limited number of parameters, the model is calibrated to depict the pre-crisis evolution of the Luxembourg economy, and to match post-lockdown leading economic indicators and industry-specific infection curves. The nowcasting part of our analysis reveals that each week of lockdown reduces national output by about 28% (and annual GDP by 0.54%). A first peak of the infection curve was observed at the very beginning of April. If the lockdown measures had been permanent, annual GDP would have decreased by 22% in 2020, the number of COVID-19 cases would have reached zero around mid-June, and the proportion of recovered people would have reached 1.4% of the population. In an economy heavily relying on skill-intensive services, we show that the role of teleworking has been instrumental to limiting the weekly economic output loss (almost by one half) and the propagation of the virus. In the forecasting part of the analysis, we quantify the epidemiological and economic responses to gradual deconfinement measures under various public health scenarios. If the post-lockdown transmission rates could be kept constant throughout the deconfinement period, restarting all sectors would have huge effects on the economy (limiting the annual GDP loss to about 7%) and no effect on the aggregate infection curve. While it is a good time for lifting containment measures, there is also a risk that increasing the density of employees at the workplace and resuming social activities would induce a rebound in the infection curve. Preventing such a relapse is possible with PCR testing of both national and cross-border workers, and with accompanying measures such as (i) maintaining teleworking practices, (ii) reopening hotels, restaurants and cafés at half of their full capacity or with equivalent physical distancing measures and last but not least, (iii) sustaining distancing measures in social activities. Overall, in our worst-case scenario, combining bi-monthly testing with contact tracing and quarantining measures appear to be a sufficient (perhaps not necessary) policy option in the aftermath of the deconfinement plan.

Suggested Citation

  • Michal Burzynski & Joël Machado & Atte Aalto & Michel Beine & Tom Haas & Françoise Kemp & Stefano Magni & Laurent Mombaerts & Pierre Picard & Daniele Proverbio & Alexander Skupin & Frédéric Docquier, 2020. "COVID-19 Crisis Management in Luxembourg: Insights from an Epidemionomic Approach," LISER Working Paper Series 2020-08, Luxembourg Institute of Socio-Economic Research (LISER).
  • Handle: RePEc:irs:cepswp:2020-08
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    References listed on IDEAS

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    1. Teresa Barbieri & Gaetano Basso & Sergio Scicchitano, 2022. "Italian Workers at Risk During the COVID-19 Epidemic," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(1), pages 175-195, March.
    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. Burzyński, Michał & Machado, Joël & Aalto, Atte & Beine, Michel & Goncalves, Jorge & Haas, Tom & Kemp, Françoise & Magni, Stefano & Mombaerts, Laurent & Picard, Pierre & Proverbio, Daniele & Skupin, A, 2021. "COVID-19 crisis management in Luxembourg: Insights from an epidemionomic approach," Economics & Human Biology, Elsevier, vol. 43(C).
    4. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    5. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    6. Palomino, Juan C. & Rodríguez, Juan G. & Sebastian, Raquel, 2020. "Wage inequality and poverty effects of lockdown and social distancing in Europe," European Economic Review, Elsevier, vol. 129(C).
    7. Abel Brodeur & Idaliya Grigoryeva & Lamis Kattan, 2021. "Stay-at-home orders, social distancing, and trust," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1321-1354, October.
    8. Fernando E. Alvarez & David Argente & Francesco Lippi, 2020. "A Simple Planning Problem for COVID-19 Lockdown," NBER Working Papers 26981, National Bureau of Economic Research, Inc.
    9. Jean-Noël Barrot & Basile Grassi & Julien Sauvagnat, 2021. "Sectoral Effects of Social Distancing," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 277-281, May.
    10. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    11. Domenico Depalo, 2021. "True COVID-19 mortality rates from administrative data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 253-274, January.
    12. Michael Greenstone & Vishan Nigam, 2020. "Does Social Distancing Matter?," Working Papers 2020-26, Becker Friedman Institute for Research In Economics.
    13. Miklós Koren & Rita Pető, 2020. "Business disruptions from social distancing," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    14. Fabio Milani, 2021. "COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 223-252, January.
    15. Simon Mongey & Laura Pilossoph & Alexander Weinberg, 2021. "Which workers bear the burden of social distancing?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 509-526, September.
    16. Dimitris Papanikolaou & Lawrence D W Schmidt, 2022. "Working Remotely and the Supply-Side Impact of COVID-19 [The unprecedented stock market reaction to COVID-19]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(1), pages 53-111.
    17. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    18. Luca Bonacini & Giovanni Gallo & Sergio Scicchitano, 2021. "Working from home and income inequality: risks of a ‘new normal’ with COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 303-360, January.
    19. Andrew Atkeson, 2020. "What Will be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," Staff Report 595, Federal Reserve Bank of Minneapolis.
    20. Callum Jones & Thomas Philippon & Venky Venkateswaran, 2021. "Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home [A simple planning problem for covid-19 lockdown]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5188-5223.
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    Cited by:

    1. Terrence Iverson & Edward Barbier, 2021. "National and Sub-National Social Distancing Responses to COVID-19," Economies, MDPI, vol. 9(2), pages 1-15, May.
    2. Burzyński, Michał & Machado, Joël & Aalto, Atte & Beine, Michel & Goncalves, Jorge & Haas, Tom & Kemp, Françoise & Magni, Stefano & Mombaerts, Laurent & Picard, Pierre & Proverbio, Daniele & Skupin, A, 2021. "COVID-19 crisis management in Luxembourg: Insights from an epidemionomic approach," Economics & Human Biology, Elsevier, vol. 43(C).
    3. Fallucchi, Francesco & Görges, Luise & Machado, Joël & Pieters, Arne & Suhrcke, Marc, 2021. "How to make universal, voluntary testing for COVID-19 work? A behavioural economics perspective," Health Policy, Elsevier, vol. 125(8), pages 972-980.
    4. Denisa M. Sologon & Cathal O’Donoghue & Iryna Kyzyma & Jinjing Li & Jules Linden & Raymond Wagener, 2022. "The COVID-19 resilience of a continental welfare regime - nowcasting the distributional impact of the crisis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 777-809, December.

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    More about this item

    Keywords

    Covid-19; epidemionomic model; health; Luxembourg; Greater Region;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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