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Macroeconomic predictions using payments data and machine learning / by James T. E. Chapman and Ajit Desai.: FB3-5/2022-10E-PDF

"This paper demonstrates: (a) that payments systems data which capture a variety of economic transactions can assist in estimating the state of the economy in real time and (b) that machine learning can provide a set of econometric tools to effectively handle a wide variety in payments data and capture sudden and large effects from a crisis"--Abstract.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.908838&sl=0

Publication information
Department/Agency
  • Bank of Canada, issuing body.
TitleMacroeconomic predictions using payments data and machine learning / by James T. E. Chapman and Ajit Desai.
Series title
  • Staff working paper = Document de travail du personnel, 1701-9397 ; 2022-10
Publication typeMonograph - View Master Record
Language[English]
FormatDigital text
Electronic document
Note(s)
  • "Last updated: March 3, 2022."
  • Includes bibliographical references (pages 27-31).
Publishing information
  • Ottawa, Ontario, Canada : Bank of Canada = Banque du Canada, 2022.
  • ©2022
Author / Contributor
  • Chapman, James T. E., author.
Description1 online resource (ii, 44 pages) : charts.
Catalogue number
  • FB3-5/2022-10E-PDF
Subject terms
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