Sébastien Kraenzlin, Christoph Meyer, Thomas Nellen
{"title":"COVID-19 and regional shifts in Swiss retail payments.","authors":"Sébastien Kraenzlin, Christoph Meyer, Thomas Nellen","doi":"10.1186/s41937-020-00061-x","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":36872,"journal":{"name":"Swiss Journal of Economics and Statistics","volume":"156 1","pages":"14"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s41937-020-00061-x","citationCount":"36","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Swiss Journal of Economics and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41937-020-00061-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/9/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 36
Abstract
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.