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1 Financial market crisis and the relevance of European Statistics – the ECB perspective Caroline Willeke, Violetta Damia European Conference on Quality in Official Statistics Helsinki, 4-6 May 2010
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2 Contents General quality issues Definitions The governance structure of European statistics provided by the ESCB The merits and costs procedure Financial crisis Identification of user needs Relevant statistical initiatives Conclusions and way forward
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3 Quality issues Good statistics monetary policyother tasks Good statistics to support the conduct of monetary policy and other tasks of the European system of central banks (ESCB) DG-S’ mission statement ECB Statistics Quality Framework (SQF) fit for purpose how well statistical processes and output fulfil key stakeholders’ expectations ‘…Applied to statistics, a general benchmark of quality is whether they are fit for purpose. By using such a benchmark, quality is interpreted in a broad sense as encompassing all aspects of how well statistical processes and output fulfil key stakeholders’ expectations. while: 1)meeting users’ needs, 2)respecting confidentiality, 3)addressing the concerns regarding the reporting burden, and 4)promoting the skills and ethical standards of statisticians.
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4 Quality issues (2) Governance issues Article 5 of the Statute of the ESCB and of the ECB For new requirements: (1) fine-tuning measures, (2) “short-term approaches”, and/or (3) the establishment of new or substantially enhanced statistics with a significant impact on respondents. Relevance ‘ECB statistics shall meet stated or implied user needs. These needs may alter over time as a result of changes in the economic environment ‘ main users’ regular consultation current statistics usage monitoring adequate balance between real-world phenomena, economic theory, measurability and cost-effectiveness user satisfaction monitoring
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5 Quality issues (3) Merits and costs Overall: judgemental element judgemental element from both users and producers’ sides, but … establish prioritiesfacilitates more disciplined discussions helps to establish priorities and facilitates more disciplined discussions with users and respondents fact- fact- finding findingexercise costs costs assessment assessment merits merits assessment assessment balancing balancingmerits vs. costs step a step b step c step e step f/g initialassessment
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6 Financial crisis – user needs Financial markets, instruments and intermediaries Monetary and Financial Institutions statistics Balance sheet and interest rate statistics Securitisation Consolidated Banking Data Integrated financial and non-financial quarterly economic accounts of the euro area Enhancement of the timeliness and frequency Micro data Centralised Securities Database (CSDB) - securities holdings Credit registers - ABS “look-through” Large Financial Institutions (LFIs) Non-financial sectors (non-financial corporations & households) SMEs SMEs: bi-annual survey across the euro area Households : Households : household finance and consumption survey (HFCS) Global initiatives and the ECB involvement Working Group on Credit Risk Transfer (BIS and the ECB) Group of Twenty (G-20) - global measurement of financial risks “Handbook on Securities Statistics” (BIS, the ECB, and the IMF) Inter-agency Group on Economic and Financial Statistics
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7 Conclusions Circumstances may change quickly sudden reprioritisation of user needs ECB tools to meet user needs sound governance structure regular contacts between statisticians and various user areas, as well as contacts with market participants ECB initiatives already existing vs. need to react swiftly close cooperation and joint initiatives with other Supranational/International Organisation
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8 Conclusions (2) View for the future increase further the flexibility (also of stat. processes), increase use of micro data bases, progress further towards the standardisation of reference data, preparation of experimental statistics based on already available data, use of ad hoc surveys for one-off or temporary demands close and smooth cooperation between regional and international statistical compilers sharing of data wherever possible
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9 THANK YOU VERY MUCH FOR YOUR ATTENTION!
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