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Identifying regions at risk with Google Trends: the impact of Covid-19 on US labour markets

Author

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  • Sebastian Doerr
  • Leonardo Gambacorta

Abstract

Information on local labour markets and Google searches can be used to construct a measure of the vulnerability of employment in different regions of the United States to the Covid-19 shock. Regional exposure to Covid-19 varies significantly, ranging from a low of 2% to a high of 98% of total local employment. We test for the usefulness of the Covid-19 exposure measure by showing that areas with higher exposure report more Google search queries related to the pandemic and unemployment benefits.

Suggested Citation

  • Sebastian Doerr & Leonardo Gambacorta, 2020. "Identifying regions at risk with Google Trends: the impact of Covid-19 on US labour markets," BIS Bulletins 8, Bank for International Settlements.
    • Handle: RePEc:bis:bisblt:8
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    Cited by:

    1. Sebastian Doerr & Leonardo Gambacorta & José María Serena Garralda, 2021. "Big data and machine learning in central banking," BIS Working Papers 930, Bank for International Settlements.
    2. Sebastian Doerr & Leonardo Gambacorta, 2020. "Covid-19 and regional employment in Europe," BIS Bulletins 16, Bank for International Settlements.
    3. Nicolas Woloszko, 2020. "Tracking activity in real time with Google Trends," OECD Economics Department Working Papers 1634, OECD Publishing.
    4. Gamze Bayın Donar & Seda Aydan, 2022. "Association of COVID‐19 with lifestyle behaviours and socio‐economic variables in Turkey: An analysis of Google Trends," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(1), pages 281-300, January.
    5. Doerr, S. & Erdem, M. & Franco, G. & Gambacorta, L. & Illes, A., 2021. "Technological capacity and firms’ recovery from Covid-19," Economics Letters, Elsevier, vol. 209(C).
    6. Marcelo C. Medeiros & Henrique F. Pires, 2021. "The Proper Use of Google Trends in Forecasting Models," Papers 2104.03065, arXiv.org, revised Apr 2021.

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