Martin Brown, Matthias R Fengler, Jonas Huwyler, Winfried Koeniger, Rafael Lalive, Robert Rohrkemper
{"title":"Monitoring consumption Switzerland: data, background, and use cases.","authors":"Martin Brown, Matthias R Fengler, Jonas Huwyler, Winfried Koeniger, Rafael Lalive, Robert Rohrkemper","doi":"10.1186/s41937-023-00108-9","DOIUrl":null,"url":null,"abstract":"<p><p>Monitoring Consumption Switzerland is a public-private partnership between the University of St. Gallen and the payment companies Worldline and SIX that processes and publishes payment data on transactions in Switzerland processed by Wordline/SIX in real time. This paper provides background information on this novel source of data and presents their attributes, aggregation and granularity, and their interpretability. The paper presents several use cases that show the strengths of the data, and it alerts future users of the data to possible challenges. The paper also discusses the project's impact and provides an outlook.</p>","PeriodicalId":36872,"journal":{"name":"Swiss Journal of Economics and Statistics","volume":"159 1","pages":"4"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026794/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Swiss Journal of Economics and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41937-023-00108-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/3/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
Monitoring Consumption Switzerland is a public-private partnership between the University of St. Gallen and the payment companies Worldline and SIX that processes and publishes payment data on transactions in Switzerland processed by Wordline/SIX in real time. This paper provides background information on this novel source of data and presents their attributes, aggregation and granularity, and their interpretability. The paper presents several use cases that show the strengths of the data, and it alerts future users of the data to possible challenges. The paper also discusses the project's impact and provides an outlook.