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Macroeconomic uncertainty and the COVID‐19 pandemic: Measure and impacts on the Canadian economy
Author(s) -
Moran Kevin,
Stevanovic Dalibor,
Touré Adam Kader
Publication year - 2022
Publication title -
canadian journal of economics/revue canadienne d'économique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 69
eISSN - 1540-5982
pISSN - 0008-4085
DOI - 10.1111/caje.12551
Subject(s) - economics , vector autoregression , covid-19 , shock (circulatory) , recession , measure (data warehouse) , inflation (cosmology) , structural vector autoregression , pandemic , macroeconomics , great recession , econometrics , monetary economics , monetary policy , keynesian economics , medicine , physics , disease , pathology , database , virology , biology , theoretical physics , computer science , outbreak , infectious disease (medical specialty)
Abstract This paper constructs a measure of Canadian macroeconomic uncertainty, by applying the Jurado et al. (2015) method to a large database. 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 large increases in uncertainty in the United States and elsewhere. The paper then uses a structural vector autoregression to compute the impacts on the Canadian economy of uncertainty shocks calibrated to match these recent COVID‐induced increases. We show that such shocks lead to severe economic downturns, lower inflation and persistent accommodating measures from monetary policy. Important distinctions emerge depending on whether the shock is interpreted as originating from US uncertainty—in which case the downturn is deep but relatively short—or from Canadian uncertainty, which leads to more protracted declines in economic activity.