Using payments data to nowcast macroeconomic variables during the onset of COVID-19 / by James T.E. Chapman and Ajit Desai.: FB3-5/2021-2E-PDF

"The COVID-19 pandemic and the resulting public health mitigation have caused large-scale economic disruptions globally. During this time, there is an increased need to predict the macroeconomy's short-term dynamics to ensure the effective implementation of fiscal and monetary policy. However, economic prediction during a crisis is challenging because of the unprecedented economic impact, which increases the unreliability of traditionally used linear models that use lagged data. We help address these challenges by using timely retail payments system data in linear and nonlinear machine learning models. We find that compared to a benchmark, our model has a roughly 15 to 45% reduction in Root Mean Square Error when used for macroeconomic nowcasting during the global financial crisis. For nowcasting during the COVID-19 shock, our model predictions are much closer to the official estimates"--Abstract, page ii.

Permanent link to this Catalogue record:
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Publication information
Department/Agency Bank of Canada, issuing body.
Title Using payments data to nowcast macroeconomic variables during the onset of COVID-19 / by James T.E. Chapman and Ajit Desai.
Series title Staff working paper = Document de travail du personnel, 1701-9397 ; 2021-2
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) Includes bibliographical references (pages 30-33).
Publishing information Ottawa, Ontario, Canada : Bank of Canada = Banque du Canada, January 21, 2021.
©2021
Author / Contributor Chapman, James T. E., author.
Description 1 online resource (ii, 40 pages) : colour illustrations.
Catalogue number
  • FB3-5/2021-2E-PDF
Subject terms Electronic funds transfers -- Canada -- Econometric models.
COVID-19 (Disease) -- Economic aspects -- Canada.
COVID-19 Pandemic, 2020- -- Economic aspects -- Canada.
Monnaie électronique -- Canada -- Modèles économétriques.
COVID-19 -- Aspect économique -- Canada.
Pandémie de COVID-19, 2020- -- Aspect économique -- Canada.
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