Template-Type: ReDIF-Paper 1.0
Author-Name: Sebastian Doerr
Author-X-Name-First: Sebastian
Author-X-Name-Last: Doerr
Author-Name: Leonardo Gambacorta
Author-X-Name-First: Leonardo
Author-X-Name-Last: Gambacorta
Title: Identifying regions at risk with Google Trends: the impact of Covid-19 on US labour markets
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.
Length: 8 pages
Creation-Date: 2020-04-21
File-URL: https://www.bis.org/publ/bisbull08.pdf
File-Format: Application/pdf
File-Function: Full PDF document
File-URL: https://www.bis.org/publ/bisbull08.htm
File-Format: text/html
Number: 8
Handle: RePEc:bis:bisblt:8