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
Irving Fisher Committee on Central Bank Statistics (IFC): Post-pandemic landscape for central bank statistics. IFC Bulletin, no 58, June 2023.
2.
Statistical Journal of the International Association for Official Statistics (IAOS): The involvement of the international statistical organisations in measuring the impact of COVID-19. January 2022; 38(3).
3.
TissotBde BeerB. Implications of COVID-19 for official statistics: a central banking perspective. Theoretical Economics Letters. August 2021; 11(4).
4.
NunesLM. Something old, something new: a reflexion on the new normal for statistical producers. IFC Bulletin, no 58, June 2023.
5.
RosoliaAStapel-WeberSTissotB. New developments in central bank statistics around the world. Statistical Journal of the IAOS.2021; 37(4): 1055-60.
6.
BiancottiCRosoliaAVeroneseGKirchnerRMouriauxF. COVID-19 and official statistics: a wakeup call? Bank of Italy Occasional Papers, no 605, April 2021.
7.
CarboniACatalanoCDoriaC. How can big data improve the quality of tourism statistics? The Bank of Italy’s experience in compiling the “travel” item of the Balance of Payments. IFC Bulletin, no 58, June 2023.
8.
FSB and International Monetary Fund (IMF): The financial crisis and information gaps, 2009.
9.
FSB and International Monetary Fund (IMF): The financial crisis and information gaps – Sixth Implementation Progress Report of the G20 Data Gaps Initiative, 2015.
10.
IMF Staff, Inter-Agency Group on Economic and Financial Statistics (IAG) and FSB Secretariat: G20 Data Gaps Initiative 3 Workplan – People, planet, economy, March 2023.
11.
FonsecaMMotaS. Making omelettes without new eggs: a story about a self-sufficient way of producing new statistic. IFC Bulletin, no 58, June 2023.
12.
CimbaliPDe LeonardisMFiumeALa GangaBMeoliLOrlandiM. A decision-making rule to detect insufficient data quality – an application of statistical learning techniques to the non-performing loans banking data. IFC Bulletin, no 58, June 2023.
13.
IFC: New developments in central bank statistics around the world. IFC Bulletin, no 55, November 2021.
14.
ArtmanMOnur YılmazITanyerMYalçın MeteF. The effect of pandemic on Central Bank of Türkiye real sector database and post-pandemic adjustments. IFC Bulletin, no 58, June 2023.
15.
AmoreseLHuergaJRühmkorfR. The euro short-term rate (€STR) – the new role of central bank statistics in financial markets – a financial benchmark fully based on statistical microdata. IFC Bulletin, no 58, June 2023.
16.
RosenmanD.,COVID-19 crises – New rapid data for the Israel economy and making it accessible to all, IFC Bulletin, no 58, June 2023.
17.
Pablo CovaJPeraltaHdel Pilar CruzM. Using the press as a real-time economic confidence indicator. IFC Bulletin, no 58, June 2023.
18.
United Nations (UN): Fundamental Principles of Official Statistics. Resolution adopted by the Economic and Social Council, E/RES/2013/21, 28 October 2013.
19.
IFC: Machine learning applications in central banking. IFC Bulletin, no 57, November 2022.
20.
IFC: How central banks communicate on official statistics. IFC Report, no 15, February 2023.
21.
Ibid., ref. above.
22.
Tayyar FirstA. Sectoral financial positions and debt levels at the post-pandemic period. IFC Bulletin, no 58, June 2023.
23.
Barros DinizF. The impact of central bank interventions on non-performing loans under COVID-19 pandemic – The United Kingdom and Brazilian Study Case. IFC Bulletin, no 58, June 2023.
24.
BattyMDeekenEHolmquistEHenriques VolzA. Wealth inequality and COVID-19 in the U.S.: evidence from the distributional financial accounts. IFC Bulletin, no 58, June 2023.
25.
Abdul JabbarMHeru PraptonoNWibisonoOAndhika ZulenA. Measuring macroprudential policy credibility using machine learning. IFC Bulletin, no 58, June 2023.
26.
Abdul JabbarMWibisonoOAndhika ZulenA. Measuring payment system policy credibility using machine learning. IFC Bulletin, no 58, June 2023.
27.
IsraëlJ-MTissotB. Incorporating microdata into macro policy decision-making. Journal of Digital Banking, vol 6 no 3, January 2021.
28.
FrancoisMVicardV. The most complex multinationals engage in tax avoidance. La Lettre du CEPII, no 434, May 2023.
29.
IFC: Bridging measurement challenges and analytical needs of external statistics: evolution or revolution? IFC Bulletin, no 52, October 2020.
30.
Di FilippoGPierretF. A typology of captive financial institutions in Luxembourg: lessons from a new database. IFC Bulletin, no 58, June 2023.
31.
PoglianiPvon PeterGWooldridgeP. The outsize role of cross-border financial centres, BIS Quarterly Review, June 2022.
32.
OECD: Irish GDP up by 26.3% in 2015? October 2016.
33.
Financial Stability Board (FSB): Holistic Review of the March Market Turmoil and COVID-19 pandemic: Financial stability impact and policy responses. November 2020.
34.
CarneyM. The promise of fintech – something new under the sun? Speech at the Deutsche Bundesbank G20 Conference on Digitising finance, financial inclusion and financial literacy, Wiesbaden, 25 January 2017.
35.
IFC: Towards monitoring financial innovation in central bank statistics. IFC Report, no 12, July 2020.
36.
BaerABerryFPhiriW. Update of statistical standards and implications on the calibration of statistical business registers. IMF Statistics, 29 September 2022.
37.
Ángel MazaLButhiotEGironCKochanskaUSantosRvon KalckreuthUWickyYWilsonN. Fintech in statistical classifications: suggestions and tentative figures in a central bank context. IFC Bulletin, no 58, June 2023.
38.
SatoY. Issues in reflecting digital assets in the Flow of Funds Accounts. IFC Bulletin, no 58, June 2023.
39.
GirónC. A characterisation of financial assets based on their cash-flow structure. IFC Bulletin, no 58, June 2023.
40.
von KalckreuthU. Product level greenhouse gas contents – how to get there? IFC Bulletin, no 58, June 2023.
41.
IFC: Progress, challenges and recent innovations in sustainable finance. IFC Bulletin, no 56, May 2022.
42.
IFC: Sustainable finance data for central banks. IFC Report, no 14, December 2021.
43.
Network on Greening the Financial Sector (NGFS). Progress report on bridging data gaps. May 2021.
44.
Rosillo San IsidroBF. Microdata base for sustainability indicators (ESG) developed at the Banco de España. IFC Bulletin, no 58, June 2023.
45.
Ibid., ref. above.
46.
Nymand-AndersenP. Data Science in Economics and Finance for Decision Makers. Risk Books, 2021.
47.
LaneyD. 3D Data Management: Controlling Data Volume, Velocity and Variety. META Group Research Note, 6, February 2001.
48.
IFC: Big data. IFC Bulletin, no 44, September 2017.
49.
Ibid., ref. above.
50.
HafiruddinMKhoyrul HidayatMDwi OkfantiaAHeru PraptonoN. Sentiment analysis of user’s reviews on non-bank payment service apps. IFC Bulletin, no 58, June 2023.
51.
ChakrabortyCJosephA. Machine learning at central banks. Bank of England, Staff Working Papers, no 674, September 2017.
52.
MaddaloniPContinanzaDdel MonacoAFigoliDDi LucidoMQuartaFTurturielloG. Stacking machine-learning models for anomaly detection: comparing AnaCredit to other banking datasets. Bank of Italy Occasional Papers, no 689, April 2022.
53.
IFC: The use of big data analytics and artificial intelligence in central banking. IFC Bulletin, no 50, May 2019.
54.
LobertoMs. A timely estimation of local investment trends using administrative data. IFC Bulletin, no 58, June 2023.
55.
Ardiya BimantoroRKhoyrul HidayatMAbdul JabbarMAndhika ZulenA. Big data analytics on payment system data for measuring household consumption in Indonesia. IFC Bulletin, no 58, June 2023.
56.
MehrhoffJs. Demystifying big data in official statistics – it’s not rocket science! IFC Bulletin, no 49, 2019.
57.
IFC: Use of big data sources and applications at central banks. IFC Report, no 13, February 2021.
58.
Ibid., ref. above.
59.
IFC: Data-sharing practices. Guidance Note, no 3, March 2023.
60.
IFC: Issues in data governance. IFC Bulletin, no 54, July 2021.
61.
IFC: Micro data for the macro world. IFC Bulletin, no 53, April 2021.
62.
GerstnerKWalterSGonzalezJMartinezSGarcia RiegoMReschFKischnerSNevesASilvaD. Nationality vs residency approach: measuring the impact of MNEs production structure on corporate financial statements statistics. IFC Bulletin, no 58, June 2023.
63.
TissotB. Globalisation and financial stability risks: is the residency-based approach of the national accounts old-fashioned? BIS Working Papers, no 587, October 2016.
64.
PricopeC-F. Does firm size predict the residency status of the final investor? Evidence from Romanian FDI enterprises. IFC Bulletin, no 58, June 2023.
65.
Gmez-LlabrésCPastorisFSchmitzM. Who stands behind European FDI investors? A novel characterisation of pass-through within the EU. IFC Bulletin, no 58, June 2023.
66.
AccotoNAstutiVCatalanoC. A probabilistic method for reconstructing the FDI network in search of ultimate hosting economies. IFC Bulletin, no 58, June 2023.
67.
CarreirasB. Data quality management of entity group data: relevance and tools to address current challenges. IFC Bulletin, no 58, June 2023.
68.
PanettaP. United we stand: European integration as a response to global fragmentation. Speech at Bruegel event, Brussels, 24 April 2023.
69.
Ángel MazaL. An estimation of the carbon footprint in Spanish credit institutions’ business lending portfolio – Experimental statistics for credit institutions in Spain. IFC Bulletin, no 58, June 2023.
70.
Ibid., ref. above.
71.
SlovikPAzmanF. Materiality of ESG factors in financial markets and financial statistics. IFC Bulletin, no 58, June 2023.
72.
Christian DollHFehrMAlves WerbGYalcin-RoderE. Measuring the emission profile of self-proclaimed sustainable exchange-traded funds. IFC Bulletin, no 58, June 2023.
73.
FehrMMehrhoffJTriebskornE. Constructing forward-looking climate-related physical risk indicators – The use of private owned data for forward-looking aggregates at sector-country level for official statistics. IFC Bulletin, no 58, June 2023.
74.
SlovikPAzmanF. Banks’ real estate exposures: Risk-based approach to measurement of exposures and concentrations. IFC Bulletin, no 58, June 2023.
75.
MantzuraABellM. Examining concentration and similarity in institutional investors’ holdings. IFC Bulletin, no 58, June 2023.
76.
SasamotoKSuzukiK. Quantitative analysis of haircuts: evidence from the Japanese repo and securities lending markets. IFC Bulletin, no 58, June 2023.
77.
La SerraVSveziaE. Statistical matching for anomaly detection in insurance assets granular reporting. IFC Working Papers, no 22, October 2022.
78.
Global Legal Entity Identifier Foundation (GLEIF): Response of the GLEIF to the UK Department Digital, Culture, Media and Support Consultation on the National Data Strategy. December 2020.
79.
IFC: Annual Report, January 2023.
80.
GirónC. Digitally-enhanced macroeconomic statistics manuals: the quest for methodological serviceability and compilation synergies. IFC Bulletin, no 58, June 2023.
81.
AccotoNMarocchiGSabatiniS. Challenges in the external statistics framework: how to register MNE financial restructuring operations. IFC Bulletin, no 58, June 2023.
82.
Inter-Agency Group on Economic and Financial Statistics (IAG): Consolidation and corporate groups: an overview of methodological and practical issues. IAG reference document, October 2015.
83.
TissotB. Data-sharing: what, why and how? The BIS experience. Presentation at the Third Meeting of the Financial Information Forum of Latin American and Caribbean Central Banks, October 2017.
84.
National Research Council: Expanding Access to Research Data: Reconciling Risks and Opportunities. Washington DC, 2005.
85.
IFC: INEXDA – the Granular Data Network, IFC Working Papers, no 18, October 2019.
86.
BenderSHaussteinBHirschC. An introduction to INEXDA’s metadata schema. IFC Bulletin, no 49, January 2019.
87.
BenderSBlaschkeJHirschC. Update on the work of the International Network for Exchanging Experiences on Statistical Handling of Granular Data (INEXDA). IFC Bulletin, no 58, June 2023.
88.
Ibid., ref. above.
89.
UNECE: Principles and guidelines on confidentiality aspects of data integration undertaken for statistical or related research purposes. Geneva, 2019.
90.
KoblentsELorenzo MegíaA. Joint secondary anonymisation of categorial and numerical variables in sensitive time series microdata – novel approach for Statistical Disclosure Control of a sensitive microdata set published in BELab data laboratory. IFC Bulletin, no 58, June 2023.
91.
CortiLHodge-WallerH. Sharing researcher-generated code and value-added documentation in a trusted research environment. IFC Bulletin, no 58, June 2023.
92.
BlaschkeJGomolkaMHirschCSeltmannSStahlH. Introduction to and application of SDC rules using self-developed tools. IFC Bulletin, no 58, June 2023.
93.
BuchC. Time for structural change in central bank statistics? How to support the transition to a climate-friendly economy. Paper prepared for the 11th Biennial IFC Conference, Basel, 25 August 2022.
94.
BorioC. Measuring the past to better understand the present and chart the future: the central bank network on historical monetary and financial statistics. Remarks at the 11th Biennial IFC Conference, Basel, 25 August 2022.
