New developments in central bank statistics around the world1

Rosolia, Alfonso; Stapel-Weber, Silke; Tissot, Bruno

doi:10.3233/sji-210887

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…Having more timely, frequent and well documented indicators to guide policy is key. Addressing these needs calls for fully exploiting available data sources, promoting greater data sharing among official statistics producers and considering alternative, big data sources as a complement to official statistics [36].…”

Section: The Value Of Basel Statistical Work In Assessing the Impact ...mentioning

confidence: 99%

The central banking contribution to international statistics: A Basel perspective

Tissot¹

2022

SJI

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A key goal of the Bank for International Settlements is to produce in-depth economic analysis drawing on its position at the intersection of research and policy, its financial markets savvy, and its unique statistical chest. Since the interwar financial crisis in the 1930s, the traditional objective of assessing international linkages has continuously guided BIS statistical offering. Important micro-level data sets have been collected to support global financial regulation in parallel. In addition, the BIS hosts the Irving Fisher Committee on Central Bank Statistics, a global network of central bank statisticians, economists and policymakers who discuss statistical issues of interest to central banks and develop related methodological work. It also actively supports various global statistical initiatives, especially to close economic and financial data gaps. These activities have proved instrumental for tracking and understanding developments in international finance, as was evident again on the occasion of the recent COVID-19 pandemic. Looking ahead, the BIS and the IFC can continue to contribute actively to the international statistical cooperation framework.

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Section: The Value Of Basel Statistical Work In Assessing the Impact ...mentioning

confidence: 99%

The central banking contribution to international statistics: A Basel perspective

Tissot¹

2022

SJI

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“…→ Standards, reference data, interoperability, relationships → Data registers, catalogues, lakes, IT solutions → Actors, roles and technical skills (eg data validation, sharing, integration, ownership, integrity) Source: [12]. on a wider range of topics that are not properly covered by the "traditional" statistical apparatus, especially on environmental topics (eg climate change) and socioeconomic factors (eg inequalities); cf [8]. It also underlined the importance of high-frequency, well documented and timely indicators to support evidence-based policy, calling for statistical frameworks to become more flexible and granular with the aim of addressing the evolving needs of users and help them monitor fragilities [9].…”

Section: Holistic Approach To Data Governancementioning

confidence: 99%

Data governance frameworks for official statistics and the integration of alternative sources

Tissot¹,

Križman

2022

SJI

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Well-defined data governance frameworks have proved instrumental in supporting official statisticians’ task to collect and analyse data of the highest quality possible. However, an institution-level approach to data governance should be complemented by a broader focus covering the entire production and use of national statistics, including alternative sources. For instance, ensuring the following of adequate Codes of Principles by private data providers, clarifying the responsibilities in the national governance landscape, and establishing proper international guidelines and cooperation mechanisms. Moreover, while national statistical systems are facing a decline in their traditional function of “data collectors”, they have a key role to play as reference custodians of the quality of the data used by society. Establishing sound data governance frameworks based on widely accepted standards can be a central element in supporting this “data curator approach”.

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Innovation for improving climate-related data—Lessons learned from setting up a data hub

Doll,

Alves Werb

2023

AStA Wirtsch Sozialstat Arch

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In this article, we present a framework to assess the challenges in the climate-related data landscape. From our perspective, we describe challenges and opportunities for innovation to close existing gaps in selected data quality dimensions for central banks and statistical offices. We further examine the role of networks in promoting innovation and international collaboration, highlighting practical experiences with a case study of the Sustainable Finance Data Hub at the Deutsche Bundesbank. Finally, we discuss how these lessons can provide avenues to enhance data quality in central banks and official statistics and outline directions for future research.

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New developments in central bank statistics around the world1

Cited by 4 publications

References 4 publications

The central banking contribution to international statistics: A Basel perspective

The central banking contribution to international statistics: A Basel perspective

Data governance frameworks for official statistics and the integration of alternative sources

Innovation for improving climate-related data—Lessons learned from setting up a data hub

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