Your browser doesn't support javascript.
loading
Tracking the COVID-19 crisis with high-resolution transaction data.
Carvalho, Vasco M; Garcia, Juan R; Hansen, Stephen; Ortiz, Álvaro; Rodrigo, Tomasa; Rodríguez Mora, José V; Ruiz, Pep.
Afiliação
  • Carvalho VM; Faculty of Economics, University of Cambridge, Cambridge, UK.
  • Garcia JR; Alan Turing Institute and CEPR, UK.
  • Hansen S; BBVA Research, Banco Bilbao Vizcaya Argentaria SA, Madrid, Spain.
  • Ortiz Á; Imperial College Business School, London, UK and CEPR.
  • Rodrigo T; BBVA Research, Banco Bilbao Vizcaya Argentaria SA, Madrid, Spain.
  • Rodríguez Mora JV; BBVA Research, Banco Bilbao Vizcaya Argentaria SA, Madrid, Spain.
  • Ruiz P; Alan Turing Institute and CEPR, UK.
R Soc Open Sci ; 8(8): 210218, 2021 Aug.
Article em En | MEDLINE | ID: mdl-34401194
ABSTRACT
Payments 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.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article