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

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  • Li, Teng
  • Barwick, Panle Jia
  • Deng, Yongheng
  • Huang, Xinfei
  • Li, Shanjun

Abstract

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.

Suggested Citation

  • Li, Teng & Barwick, Panle Jia & Deng, Yongheng & Huang, Xinfei & Li, Shanjun, 2023. "The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China," Journal of Urban Economics, Elsevier, vol. 135(C).
  • Handle: RePEc:eee:juecon:v:135:y:2023:i:c:s0094119023000128
    DOI: 10.1016/j.jue.2023.103543
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    Cited by:

    1. Xi, Chen & Xie, Wei & Chen, Xiaoguang & He, Pan, 2023. "Weather shocks and movie recreation demand in China," Energy Economics, Elsevier, vol. 127(PB).
    2. Xiao, Weiye & Li, Han & Yuan, Feng & Chen, Wen, 2024. "The 2-month lockdown and commuting behavior transformation in Shanghai: A phone signal data-based analysis," Transport Policy, Elsevier, vol. 150(C), pages 149-161.
    3. Huang, Bin & Wang, Bin & Chen, Zixuan, 2024. "Individual investment adaptations to COVID-19 lockdowns," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    4. Hu, Lanyue & Shi, Wei, 2023. "Urban consumption dissimilarities and subjective wellbeing: Evidence from mobile big data in China," Economics Letters, Elsevier, vol. 233(C).
    5. Jiajia Meng & Xuedong Wang & Jialu Yang, 2023. "Supply Chain Finance and Industrial Efficiency: Evidence From ICT Industry," SAGE Open, , vol. 13(4), pages 21582440231, December.

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    More about this item

    Keywords

    COVID-19; Mobile phone; Recovery; Unemployment;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management

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