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COVID-19 and regional shifts in Swiss retail payments.

Sébastien KraenzlinChristoph MeyerThomas Nellen
Published in: Swiss journal of economics and statistics (2020)
This paper analyzes card payments to the retail sector in Switzerland during the COVID-19 crisis. We provide evidence on aggregate effects and regional shifts. Pronounced shifts-which persisted post-lockdown-can be observed from urban to suburban and rural areas and among cantons. Data allow us to identify directly two sources of shifts: "tourists and business travelers" and "e-commerce." We indirectly identify additional sources: infection risk, lockdown measures, working from home, shopping tourism, and cash substitution. The COVID-19 crisis seems to have reinforced pre-existing trends that may have faster than anticipated effects on the economy. Our analysis underscores the usefulness of real-time card payment data to inform policymakers.
Keyphrases
  • coronavirus disease
  • sars cov
  • public health
  • drinking water
  • electronic health record
  • big data
  • respiratory syndrome coronavirus
  • healthcare
  • data analysis
  • deep learning
  • artificial intelligence