IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20202431.html
   My bibliography  Save this paper

ECB-BASIR: a primer on the macroeconomic implications of the Covid-19 pandemic

Author

Listed:
  • Angelini, Elena
  • Darracq Pariès, Matthieu
  • Zimic, Srečko
  • Damjanović, Milan

Abstract

This paper studies the macroeconomic consequences of the COVID-19 pandemic and makes a first step in adapting the central bank modelling apparatus to the new economic landscape. We augment the ECB-BASE model with the predictive dynamics of the SIR model in order to assess the interplay between epidemiological fundamentals, containment policies and the macroeconomy. Containment policies considerably reduce the share of infected and deceased people, but generate a sharp decline in economic activity. Barring the materialization of amplification risks, the induced recession may remain broadly V-shaped under targeted confinement policies. By comparison, a "laissez-faire" approach to the pandemic emergency can even inflict in some cases higher long-term economic costs. Nevertheless, the depth of the recession and the speed of the recovery (if at all) crucially depend on the magnitude and persistence of the supply-side retrenchment, as well as on the risk of macro-financial feedback loops. JEL Classification: E1, E3, I1

Suggested Citation

  • Angelini, Elena & Darracq Pariès, Matthieu & Zimic, Srečko & Damjanović, Milan, 2020. "ECB-BASIR: a primer on the macroeconomic implications of the Covid-19 pandemic," Working Paper Series 2431, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20202431
    Note: 338657
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecb.wp2431~aab2650200.en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "Labor Markets During the Covid-19 Crisis: A Preliminary View," Department of Economics, Working Paper Series qt7rx7t91p, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Fernando Alvarez & David Argente, 2020. "A Simple Planning Problem for COVID-19 Lockdown," Working Papers 2020-34, Becker Friedman Institute for Research In Economics.
    3. 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.
    4. Figueres, Juan Manuel & Jarociński, Marek, 2020. "Vulnerable growth in the euro area: Measuring the financial conditions," Economics Letters, Elsevier, vol. 191(C).
    5. Florian Dorn & Clemens Fuest & Marcell Göttert & Carla Krolage & Stefan Lautenbacher & Sebastian Link & Andreas Peichl & Magnus Reif & Stefan Sauer & Marc Stöckli & Klaus Wohlrabe & Timo Wollmershäuse, 2020. "The Economic Costs of the Coronavirus Shutdown for Germany: A Scenario Calculation," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(04), pages 29-35, April.
    6. Kremer, Manfred & Lo Duca, Marco & Holló, Dániel, 2012. "CISS - a composite indicator of systemic stress in the financial system," Working Paper Series 1426, European Central Bank.
    7. 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.
    8. repec:ecb:ecbwps:20111426 is not listed on IDEAS
    9. Angelini, Elena & Bokan, Nikola & Christoffel, Kai & Ciccarelli, Matteo & Zimic, Srečko, 2019. "Introducing ECB-BASE: The blueprint of the new ECB semi-structural model for the euro area," Working Paper Series 2315, European Central Bank.
    10. Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2019. "Vulnerable Growth," American Economic Review, American Economic Association, vol. 109(4), pages 1263-1289, April.
    11. Laurence M. Ball, 2009. "Hysteresis in Unemployment: Old and New Evidence," NBER Working Papers 14818, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sabina Marchetti & Alessandro Borin & Francesco Paolo Conteduca & Giuseppe Ilardi & Giorgio Guzzetta & Piero Poletti & Patrizio Pezzotti & Antonino Bella & Paola Stefanelli & Flavia Riccardo & Stefano, 2022. "An Epidemic Model for SARS-CoV-2 with Self-Adaptive Containment Measures," Questioni di Economia e Finanza (Occasional Papers) 681, Bank of Italy, Economic Research and International Relations Area.
    2. Acurio Vásconez, Verónica & Damette, Olivier & Shanafelt, David W., 2023. "Macroepidemics and unconventional monetary policy," Economic Modelling, Elsevier, vol. 126(C).
    3. Garcia, Pablo & Jacquinot, Pascal & Lenarčič, Črt & Lozej, Matija & Mavromatis, Kostas, 2023. "Global models for a global pandemic: The impact of COVID-19 on small euro area economies," Journal of Macroeconomics, Elsevier, vol. 77(C).
    4. Mr. Geoffrey J Bannister & Mr. Harald Finger & Siddharth Kothari & Ms. Elena Loukoianova, 2020. "Addressing the Pandemic's Medium-Term Fallout in Australia and New Zealand," IMF Working Papers 2020/272, International Monetary Fund.
    5. Verónica Acurio Vásconez & Olivier Damette & David W. Shanafelt, 2021. "Macroepidemics and unconventional monetary policy: Coupling macroeconomics and epidemiology in a financial DSGE-SIR framework," Working Papers of BETA 2021-04, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.

    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. Jackson, Paul & Ortego-Marti, Victor, 2024. "Skill loss during unemployment and the scarring effects of the COVID-19 pandemic," Labour Economics, Elsevier, vol. 88(C).
    2. Marcelo Arbex & Michael Batu & Sidney Caetano, 2020. "Stay At Home! Macroeconomic Effects of Pandemic-Induced Job Separation Shocks," Working Papers 2002, University of Windsor, Department of Economics.
    3. Andr� Kall�k Anundsen & Bj�rnar Karlsen Kivedal & Erling R�ed Larsen & Leif Anders Thorsrud, 2020. "Behavioral changes and policy effects during Covid-19," Working Papers No 07/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    4. Liang, Yousha & Shi, Kang & Tang, Junjie & Xu, Juanyi, 2022. "Pandemic and containment policies in open economy," Journal of International Money and Finance, Elsevier, vol. 125(C).
    5. Joshua Bernstein & Alexander W. Richter & Nathaniel A. Throckmorton, 2020. "COVID-19: A View from the Labor Market," Working Papers 2010, Federal Reserve Bank of Dallas.
    6. La Torre, Davide & Liuzzi, Danilo & Marsiglio, Simone, 2021. "Epidemics and macroeconomic outcomes: Social distancing intensity and duration," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    7. Jaccard, Ivan, 2022. "The trade-off between public health and the economy in the early stage of the COVID-19 pandemic," Working Paper Series 2690, European Central Bank.
    8. Harrison Hong & Neng Wang & Jinqiang Yang, 2020. "Implications of Stochastic Transmission Rates for Managing Pandemic Risks," NBER Working Papers 27218, National Bureau of Economic Research, Inc.
    9. Chang Ma & John Rogers & Sili Zhou, 2023. "Modern Pandemics: Recession and Recovery," Journal of the European Economic Association, European Economic Association, vol. 21(5), pages 2098-2130.
    10. Giorgio Fabbri & Salvatore Federico & Davide Fiaschi & Fausto Gozzi, 2024. "Mobility decisions, economic dynamics and epidemic," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 77(1), pages 495-531, February.
    11. Lin William Cong & Ke Tang & Bing Wang & Jingyuan Wang, 2021. "An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States," Papers 2109.10009, arXiv.org.
    12. Chryssi Giannitsarou & Stephen Kissler & Flavio Toxvaerd, 2021. "Waning Immunity and the Second Wave: Some Projections for SARS-CoV-2," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 321-338, September.
    13. Dirk Krueger & Harald Uhlig & Taojun Xie, 2020. "Macroeconomic Dynamics and Reallocation in an Epidemic," PIER Working Paper Archive 20-015, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    14. Timo Boppart & Karl Harmenberg & John Hassler & Per Krusell & Jonna Olsson, 2020. "Integrated Epi-Econ Assessment," NBER Working Papers 28282, National Bureau of Economic Research, Inc.
    15. Mellacher, Patrick, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," MPRA Paper 103661, University Library of Munich, Germany.
    16. Gerson Javier Pérez-Valbuena & Diana Ricciulli-Marín & Jaime Bonet-Morón & Paula Barrios, 2021. "Reglas fiscales subnacionales en Colombia: desde su concepción hasta los resultados frente al COVID-19," Documentos de Trabajo Sobre Economía Regional y Urbana 19126, Banco de la República, Economía Regional.
    17. Farboodi, Maryam & Jarosch, Gregor & Shimer, Robert, 2021. "Internal and external effects of social distancing in a pandemic," Journal of Economic Theory, Elsevier, vol. 196(C).
    18. Lin Ma & Gil Shapira & Damien de Walque & Quy‐Toan Do & Jed Friedman & Andrei A. Levchenko, 2022. "The Intergenerational Mortality Trade‐Off Of Covid‐19 Lockdown Policies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1427-1468, August.
    19. Bosi, Stefano & Camacho, Carmen & Desmarchelier, David, 2021. "Optimal lockdown in altruistic economies," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    20. Garriga, Carlos & Manuelli, Rody & Sanghi, Siddhartha, 2022. "Optimal management of an epidemic: Lockdown, vaccine and value of life," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).

    More about this item

    Keywords

    COVID-19; ECB-BASE; epidemic; modelling;
    All these keywords.

    JEL classification:

    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • I1 - Health, Education, and Welfare - - Health

    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:ecb:ecbwps:20202431. 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.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.