IDEAS home Printed from https://ideas.repec.org/p/bis/bisblt/8.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.bis.org/publ/bisbull08.pdf
    File Function: Full PDF document
    Download Restriction: no
    File URL: https://www.bis.org/publ/bisbull08.htm
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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).
    4. Nicolas Woloszko, 2020. "Tracking activity in real time with Google Trends," OECD Economics Department Working Papers 1634, OECD Publishing.
    5. 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.
    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.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bis:bisblt:8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.