Central banks and external statistics: Evolution or revolution?1

Q3 Social Sciences Journal of Economic and Social Measurement Pub Date : 2021-01-13 DOI:10.3233/jem-200472
Paula Menezes, Fausto Pastoris, Carmen Picon-Aguilar, Martin Schmitz, Nuno Silva, B. Tissot
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Abstract

Globalisation is posing important challenges to external statistics, which have been reinforced in recent decades by rapid digital innovation, the complexity and limited transparency of multinational corporate structures, and the increased importance of global financial centres. Examples of such challenges include the fragmentation of global production chains and the changing nature of foreign direct investment. One fundamental question is whether the multipurpose analytical tool provided by external statistics should be simply adapted or radically transformed to address these issues. The experience of central banks shows that a number of alternative ways can be effectively developed in the medium term to adapt the current external statistics framework, especially by: collecting supplementary data; enhancing the infrastructure supporting compilation; focusing the analysis on large and global corporate groups; presenting more granular data for the aggregates currently compiled; and revisiting the concept of foreign direct investment.
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中央银行和外部统计:进化还是革命?1
全球化对外部统计构成了重大挑战,近几十年来,快速的数字创新、跨国公司结构的复杂性和有限的透明度,以及全球金融中心重要性的提升,都加剧了外部统计的挑战。这些挑战的例子包括全球生产链的碎片化和外国直接投资性质的变化。一个基本问题是,外部统计提供的多用途分析工具是否应该简单地加以调整或彻底改造,以解决这些问题。中央银行的经验表明,在中期可以有效地发展若干替代办法,以适应目前的外部统计框架,特别是通过:收集补充数据;加强支持编译的基础设施;重点分析大型和全球性企业集团;为当前编译的聚合提供更细粒度的数据;重新审视外国直接投资的概念。
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来源期刊
Journal of Economic and Social Measurement
Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)
CiteScore
1.60
自引率
0.00%
发文量
4
期刊介绍: The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.
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