The ILO nowcasting model: Using high-frequency data to track the impact of the COVID-19 pandemic on labour markets1

Roger Gomis; Paloma Carrillo; Steven Kapsos; Stefan Kühn; Avichal Mahajan

doi:10.3233/SJI-220055

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The ILO nowcasting model: Using high-frequency data to track the impact of the COVID-19 pandemic on labour markets1

Journal article

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Peer reviewed

The ILO nowcasting model: Using high-frequency data to track the impact of the COVID-19 pandemic on labour markets1

Roger Gomis, Paloma Carrillo, Steven Kapsos, Stefan Kühn and Avichal Mahajan

Statistical Journal of the IAOS, Vol.38(3), pp.815-830

2022

DOI: https://doi.org/10.3233/SJI-220055

Abstract

COVID-19

labour statistics

hours worked

ILO Monitor

Nowcasting

Open Access

The impact of the COVID-19 pandemic resulted in unprecedented labour market disruption, triggering the most severe global labour market crisis on record. The speed and depth of the crisis rendered labour force survey data unable to provide timely inf

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Title: The ILO nowcasting model: Using high-frequency data to track the impact of the COVID-19 pandemic on labour markets1
Creators: Roger Gomis - International Labour Organization
Paloma Carrillo - International Labour Organization
Steven Kapsos - International Labour Organization
Stefan Kühn - International Labour Organization
Avichal Mahajan - International Labour Organization
Publication Details: Statistical Journal of the IAOS, Vol.38(3), pp.815-830
Date published: 2022
ISSN: 1874-7655
DOI: https://doi.org/10.3233/SJI-220055
Language: English
Record Identifier: 995369892602676