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The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China()

Based on mobile phone records for 71 million users and location tracking information for one million users over almost three years, this study examines the labor market impacts of the COVID-19 pandemic in China’s Guangdong province, whose GDP is larger than that of all but the top 12 countries in th...

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Autores principales: Li, Teng, Barwick, Panle Jia, Deng, Yongheng, Huang, Xinfei, Li, Shanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988403/
https://www.ncbi.nlm.nih.gov/pubmed/36910460
http://dx.doi.org/10.1016/j.jue.2023.103543
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author Li, Teng
Barwick, Panle Jia
Deng, Yongheng
Huang, Xinfei
Li, Shanjun
author_facet Li, Teng
Barwick, Panle Jia
Deng, Yongheng
Huang, Xinfei
Li, Shanjun
author_sort Li, Teng
collection PubMed
description Based on mobile phone records for 71 million users and location tracking information for one million users over almost three years, this study examines the labor market impacts of the COVID-19 pandemic in China’s Guangdong province, whose GDP is larger than that of all but the top 12 countries in the world. Using a standard difference-in-differences framework, our analysis shows dramatic and protracted effects of the pandemic on the labor market: it increased unemployment by 72% and unemployment benefits claims by 57% even after the full reopening in 2020 relative to their levels in the same period in 2019. The impact was also highly heterogeneous, with women, workers older than 40, and migrants being more affected. Cities that rely more on export or that have a higher share of the hospitality industry in GDP but a lower share of the finance and healthcare industries experienced a more pronounced increase in unemployment. The lingering impact likely reflects the global transmission of the pandemic’s effects through the supply chain and trade channels.
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spelling pubmed-99884032023-03-07 The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China() Li, Teng Barwick, Panle Jia Deng, Yongheng Huang, Xinfei Li, Shanjun J Urban Econ Article Based on mobile phone records for 71 million users and location tracking information for one million users over almost three years, this study examines the labor market impacts of the COVID-19 pandemic in China’s Guangdong province, whose GDP is larger than that of all but the top 12 countries in the world. Using a standard difference-in-differences framework, our analysis shows dramatic and protracted effects of the pandemic on the labor market: it increased unemployment by 72% and unemployment benefits claims by 57% even after the full reopening in 2020 relative to their levels in the same period in 2019. The impact was also highly heterogeneous, with women, workers older than 40, and migrants being more affected. Cities that rely more on export or that have a higher share of the hospitality industry in GDP but a lower share of the finance and healthcare industries experienced a more pronounced increase in unemployment. The lingering impact likely reflects the global transmission of the pandemic’s effects through the supply chain and trade channels. Elsevier Inc. 2023-05 2023-03-07 /pmc/articles/PMC9988403/ /pubmed/36910460 http://dx.doi.org/10.1016/j.jue.2023.103543 Text en © 2023 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Li, Teng
Barwick, Panle Jia
Deng, Yongheng
Huang, Xinfei
Li, Shanjun
The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China()
title The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China()
title_full The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China()
title_fullStr The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China()
title_full_unstemmed The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China()
title_short The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China()
title_sort covid-19 pandemic and unemployment: evidence from mobile phone data from china()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988403/
https://www.ncbi.nlm.nih.gov/pubmed/36910460
http://dx.doi.org/10.1016/j.jue.2023.103543
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