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

Sebastian Doerr and Leonardo Gambacorta

No 8, BIS Bulletins from Bank for International Settlements

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.

Pages: 8 pages
Date: 2020-04-21
New Economics Papers: this item is included in nep-ure
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.bis.org/publ/bisbull08.pdf Full PDF document (application/pdf)
https://www.bis.org/publ/bisbull08.htm (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bis:bisblt:8

Access Statistics for this paper

More papers in BIS Bulletins from Bank for International Settlements Contact information at EDIRC.
Bibliographic data for series maintained by Martin Fessler ().