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Machine Learning for Economic Policy

Haghighi, Maryam; Joseph, Andreas; Kapetanios, George; Kurz, Christopher; Lenza, Michele; Marcucci, Juri
2025
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Description

Abstract: The Themed Issue Machine Learning for Economic Policy consists of 12 papers at the intersection of machine learning, nontraditional data sources and economic policymaking. We will introduce the Themed Issue and review its contributions.

Détails

Type de ressource
Journal Article
Série
Peer-Reviewed Publications
Publications à comité de lecture
DOI
https://doi.org/10.1016/j.jeconom.2025.105970
Titre
Machine Learning for Economic Policy
Créateur
Haghighi, Maryam (Bank of Canada)
Joseph, Andreas (Bank of England)
Kapetanios, George (King's College)
Kurz, Christopher (Federal Reserve Board)
Lenza, Michele (European Central Bank)
Marcucci, Juri (Bank of Italy)
Editeur
Elsevier BV
Date de publication
2025-05-16
Dates pertinentes
Available: 2025-02-14
Publié dans
Journal of Econometrics
Volume
249C
Numéro
105970
Langue
Anglais
Note
The views expressed in this paper are solely those of the authors and may differ from official Bank of Canada views. No responsibility for them should be attributed to the Bank.
Codes JEL
Référence de la publication
Haghighi, M., A. Joseph, G. Kapetanios, C. Kurz, M. Lenza and J. Marcucci. 2025. "Machine Learning for Economic Policy." Journal of Econometrics 249C No. 105970. https://doi.org/10.1016/j.jeconom.2025.105970.
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Recherches de la Banque du Canada > Publications à comité de lecture

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