Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31481
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBell, David N Fen_UK
dc.contributor.authorBlanchflower, David Gen_UK
dc.date.accessioned2020-07-24T00:04:07Z-
dc.date.available2020-07-24T00:04:07Z-
dc.date.issued2020-05en_UK
dc.identifier.urihttp://hdl.handle.net/1893/31481-
dc.description.abstractWe examine labour market performance in the US and the UK prior to the onset of the Covid-19 crash. We then track the changes that have occurred in the months and days from the beginning of March 2020 using what we call the Economics of Walking About (EWA) that shows a collapse twenty times faster and much deeper than the Great Recession. We examine unemployment insurance claims by state by day in the US as well as weekly national data. We track the distributional impact of the shock and show that already it is hitting the most vulnerable groups who are least able to work from home the hardest – the young, the least educated and minorities. We have no official labour market data for the UK past January but see evidence that job placements have fallen sharply. We report findings from an online poll fielded from 11–16 April 2020 showing that a third of workers in Canada and the US report that they have lost at least half of their income due to the Covid-19 crisis, compared with a quarter in the UK and 45 per cent in China. We estimate that the unemployment rate in the US is around 20 per cent in April. It is hard to know what it is in the UK given the paucity of data, but it has gone up a lot.en_UK
dc.language.isoenen_UK
dc.publisherCambridge University Press (CUP)en_UK
dc.relationBell DNF & Blanchflower DG (2020) US and UK Labour Markets before and during the Covid-19 Crash. National Institute Economic Review, 252, pp. R52-R69. https://doi.org/10.1017/nie.2020.14en_UK
dc.rightsThis article has been published in a revised form in National Institute Economic Review https://doi.org/10.1017/nie.2020.14. This version is published under a Creative Commons CC-BY-NC-ND. No commercial re-distribution or re-use allowed. Derivative works cannot be distributed. © National Institute of Economic and Social Research, 2020en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectemploymenten_UK
dc.subjectunemploymenten_UK
dc.subjectunderemploymenten_UK
dc.subjectCovid-19en_UK
dc.titleUS and UK Labour Markets before and during the Covid-19 Crashen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1017/nie.2020.14en_UK
dc.citation.jtitleNational Institute Economic Reviewen_UK
dc.citation.issn1741-3036en_UK
dc.citation.issn0027-9501en_UK
dc.citation.volume252en_UK
dc.citation.spageR52en_UK
dc.citation.epageR69en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.citation.date28/04/2020en_UK
dc.contributor.affiliationEconomicsen_UK
dc.contributor.affiliationDartmouth Collegeen_UK
dc.identifier.wtid1609776en_UK
dc.contributor.orcid0000-0002-4538-6328en_UK
dc.date.accepted2020-04-14en_UK
dcterms.dateAccepted2020-04-14en_UK
dc.date.filedepositdate2020-07-23en_UK
dc.subject.tagCOVID-19en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorBell, David N F|0000-0002-4538-6328en_UK
local.rioxx.authorBlanchflower, David G|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2020-11-12en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2020-11-12|en_UK
local.rioxx.filenamefinal NIESR April 17th covid-19 bell blanchflower 2-3.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1741-3036en_UK
Appears in Collections:Economics Journal Articles

Files in This Item:
File Description SizeFormat 
final NIESR April 17th covid-19 bell blanchflower 2-3.pdfFulltext - Accepted Version483.76 kBAdobe PDFView/Open


This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.