Show simple item record

dc.contributor.authorCarvalho, Vasco M.
dc.contributor.authorGarcia, Juan R.
dc.contributor.authorHansen, Stephen
dc.contributor.authorOrtiz, Álvaro
dc.contributor.authorRodrigo, Tomasa
dc.contributor.authorRodríguez Mora, José V.
dc.contributor.authorRuiz, Pep
dc.date.accessioned2021-10-19T17:14:39Z
dc.date.available2021-10-19T17:14:39Z
dc.date.issued2021-08-11
dc.date.submitted2021-02-07
dc.identifier.otherrsos210218
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/329626
dc.description.abstractPayments systems generate vast amounts of naturally occurring transaction data rarely used for constructing official statistics. We consider billions of transactions from card data from a large bank, Banco Bilbao Vizcaya Argentaria, as an alternative source of information for measuring consumption. We show, via validation against official consumption measures, that transaction data complements national accounts and consumption surveys. We then analyse the impact of COVID-19 in Spain, and document: (i) strong consumption responses to business closures, but smaller effects for capacity restrictions; (ii) a steeper decline in spending in rich neighbourhoods; (iii) higher mobility for residents of lower-income neighbourhoods, correlating with increased disease incidence.
dc.languageen
dc.publisherThe Royal Society
dc.subjectComputer science and artificial intelligence
dc.subjectResearch articles
dc.subjectnational accounts
dc.subjecttransaction data
dc.subjectconsumption
dc.subjectCOVID-19
dc.titleTracking the COVID-19 crisis with high-resolution transaction data
dc.typeArticle
dc.date.updated2021-10-19T17:14:38Z
prism.issueIdentifier8
prism.publicationNameRoyal Society Open Science
prism.volume8
dc.identifier.doi10.17863/CAM.77075
dcterms.dateAccepted2021-07-26
rioxxterms.versionofrecord10.1098/rsos.210218
rioxxterms.versionAO
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidCarvalho, Vasco M. [0000-0002-6128-9157]
dc.contributor.orcidHansen, Stephen [0000-0002-8376-6292]
dc.identifier.eissn2054-5703
pubs.funder-project-idH2020 European Research Council (Consolidator Grant 101001221, Consolidator Grant 864863)
pubs.funder-project-idEconomic and Social Research Council (Award ES/L009633/1)
pubs.funder-project-idLeverhulme Trust (Philip Leverhulme Prize)


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record