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Benefits of integrated economic statistics for central bank users Richard Walton European Central Bank Berne, 6-8 June 2007
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Overview Why are integrated economic statistics a good idea? Benefits of integration Uses of integrated economic statistics Value to Users Case study of euro area accounts
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Why are integrated economic statistics a good idea? The “concept of integrated economic statistics” Consistent policy messages Statistical quality assurance User/Compiler model Communication is the message Conceptual integration Practical integration
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Benefits of integration Consistency of data outputs Consistency in data inputs Consistency in data processes Consistency in time series analysis Reduced response burden Promotes best practices
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Uses of integrated economic statistics Integration and reconciliation Following international statistical standards Counterpart data to fill “gaps” Balancing the accounts
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Value to Users Value for monetary policy analysis Value for financial stability analysis A model to measure financial innovation A model to assess “signals” of short-term indicators
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Case study of euro area accounts Consistency between financial and non-financial statistics Consistency in data methodology Consistency in numerical linkages
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Conclusions A single framework provides benefits to users Benefits are completeness and accuracy Consistency in accounts is valued One model provides coherent messages
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