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Macroeconomic Uncertainty and the COVID-19 Pandemic: Measure and Impacts on the Canadian Economy

Author

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  • Kevin Moran
  • Dalibor Stevanovic
  • Adam Abdel Kader Touré

Abstract

This paper constructs a measure of Canadian macroeconomic uncertainty, by ap-plying the Jurado et al. (2015) method to the large database of Fortin-Gagnon et al.(2020). This measure reveals that the COVID-19 pandemic has been associated with a very sharp rise of macroeconomic uncertainty in Canada, confirming other results showing similar big increases in uncertainty in the United States and elsewhere. The paper then uses a structural VAR to compute the impacts on the Canadian economy of uncertainty shocks calibrated to match these recent increases. We show that such shocks lead to severe economic downturns, lower inflation and sizeable accommodating measures from monetary policy. Important distinctions emerge depending on whether the shock is interpreted as originating from US uncertainty –in which case the down-turn is deep but relatively short– or from specifically Canadian uncertainty, which leads to shallower but more protracted declines in economic activity.

Suggested Citation

  • Kevin Moran & Dalibor Stevanovic & Adam Abdel Kader Touré, 2020. "Macroeconomic Uncertainty and the COVID-19 Pandemic: Measure and Impacts on the Canadian Economy," CIRANO Working Papers 2020s-47, CIRANO.
  • Handle: RePEc:cir:cirwor:2020s-47
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    File URL: https://cirano.qc.ca/files/publications/2020s-47.pdf
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    References listed on IDEAS

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    3. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022. "How is machine learning useful for macroeconomic forecasting?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
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    Citations

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    Cited by:

    1. Foroni, Claudia & Marcellino, Massimiliano & Stevanovic, Dalibor, 2022. "Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis," International Journal of Forecasting, Elsevier, vol. 38(2), pages 596-612.
    2. Serena Ng, 2021. "Modeling Macroeconomic Variations after Covid-19," NBER Working Papers 29060, National Bureau of Economic Research, Inc.
    3. Olivier Fortin‐Gagnon & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022. "A large Canadian database for macroeconomic analysis," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(4), pages 1799-1833, November.
    4. MORIKAWA Masayuki, 2022. "Uncertainty of Firms' Medium-term Outlook during the COVID-19 Pandemic," Discussion papers 22079, Research Institute of Economy, Trade and Industry (RIETI).
    5. Kevin Moran & Dalibor Stevanovic & Stephane Surprenant, 2024. "Risk Scenarios and Macroeconomic Forecasts," Working Papers 24-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Apr 2024.
    6. MORIKAWA Masayuki, 2023. "Price Setting of Firms under Cost Uncertainty," Discussion papers 23040, Research Institute of Economy, Trade and Industry (RIETI).
    7. MORIKAWA Masayuki, 2022. "Firms' Knightian Uncertainty during the COVID-19 Crisis," Discussion papers 22089, Research Institute of Economy, Trade and Industry (RIETI).
    8. Josué Diwambuena & Jean-Paul K. Tsasa, 2021. "The Real Effects of Uncertainty Shocks: New Evidence from Linear and Nonlinear SVAR Models," BEMPS - Bozen Economics & Management Paper Series BEMPS87, Faculty of Economics and Management at the Free University of Bozen.
    9. Pegah Derakhshan & William C. Miller & Jaimie Borisoff & Elham Esfandiari & Sue Forwell & Tal Jarus & Somayyeh Mohammadi & Isabelle Rash & Brodie Sakakibara & Julia Schmidt & Gordon Tao & Noah Tregobo, 2022. "Describing the Function, Disability, and Health of Adults and Older Adults during the Early Coronavirus Restrictions in 2019: An Online Survey," Disabilities, MDPI, vol. 2(4), pages 1-13, September.

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    More about this item

    Keywords

    COVID-19 Pandemic; Uncertainty; Forecasting; Factors Models; Vector Autoregressions;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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