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Covid-19 and monitoring economic activity: the contribution of high-frequency data
[Suivi de l’effet de la Covid-19 avec des données à haute fréquence]

Author

Listed:
  • Barbara Castelleti Font
  • Marie Delorme
  • Pavel Diev
  • Yannick Kalantzis
  • Antoine Lalliard
  • Matteo Mogliani

Abstract

The COVID-19 crisis has required a real-time monitoring of economic activity, which has not been possible with the usual data. However, by using high-frequency data, such as electricity consumption and credit card transactions, it has been possible to estimate the magnitude of the shock and the timing of the rebound at an early stage, for both industrial production and for household consumption. La crise de la COVID-19 a demandé un suivi de l’activité en temps réel, que ne permettaient pas les statistiques usuelles. Des données à haute fréquence, comme la consommation d’électricité et les transactions par carte bancaire, ont en revanche permis d’estimer de façon précoce l’ampleur du choc et le moment du rebond, pour la production des entreprises et pour la consommation des ménages.

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Handle: RePEc:bfr:econot:174
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File URL: https://www.banque-france.fr/en/publications-and-statistics/publications/covid-19-and-monitoring-economic-activity-contribution-high-frequency-data
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File URL: https://www.banque-france.fr/fr/publications-et-statistiques/publications/suivi-de-leffet-de-la-covid-19-avec-des-donnees-haute-frequence
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