{"title":"The post-pandemic new normal for central bank statistics","authors":"Saira Jahangir-Abdoelrahman, B. Tissot","doi":"10.3233/sji-230050","DOIUrl":null,"url":null,"abstract":"Official statisticians managed to quickly adapt to the consequences of the COVID-19 pandemic. Looking forward, an important issue is whether, and how, one should be fundamentally rethinking the way to produce and consume data in a “new normal” state of the world. The pandemic underlined that data producers have to provide more and more varied types of information to their users. It was also a reminder that the statistical landscape has to permanently evolve. As regards central banks’ statisticians, this calls for relying more heavily on data science, making a better use of the large amount of micro-level information available in today’s modern societies, adapting statistical frameworks to meet evolving policy objectives and user needs, and continuing to closely cooperate with other relevant stakeholders","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Journal of the IAOS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/sji-230050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Official statisticians managed to quickly adapt to the consequences of the COVID-19 pandemic. Looking forward, an important issue is whether, and how, one should be fundamentally rethinking the way to produce and consume data in a “new normal” state of the world. The pandemic underlined that data producers have to provide more and more varied types of information to their users. It was also a reminder that the statistical landscape has to permanently evolve. As regards central banks’ statisticians, this calls for relying more heavily on data science, making a better use of the large amount of micro-level information available in today’s modern societies, adapting statistical frameworks to meet evolving policy objectives and user needs, and continuing to closely cooperate with other relevant stakeholders
期刊介绍:
This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.