Quality Assurance in the European Statistical System

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Presentation transcript:

Quality Assurance in the European Statistical System Øystein Olsen Director General, Statistics Norway Q2010 Conference Helsinki, 4 May 2010

Quality and Trust in Statistics Complexity of societies Globalisation and European integration Increased demand for high quality official statistics in Europe Quality decisive for trust!

ESS responses to the challenges European Statistics Code of Practice Cracow/Haag action plans – modernisation of the system New European Statistical Law New Governance structure: ESAC and ESGAB Sponsorship on Quality

ESS Sponsorship on Quality The mandate: To promote a common view and understanding of ESS quality management To recommend possible modifications of the Code of Practice To provide recommendations on how to proceed with quality work in ESS

Work Program of the Sponsorship on Quality:

Quality frameworks and the ESCoP

Implementing Quality Frameworks The European level: Code of Practice compliance: International reviews and benchmarking National Quality Assurance: A common framework: The Code of Practice Minimum standards Quality guidelines Tools (indicators, reports, assessments etc) Documentation

ESS Quality architecture ESS level national / Eurostat level ESS Statistical Law national Statistical Law ESS Quality Declaration (national TQM framework) National QAF: Description of practices and procedures for implementing the CoP QAF: ESS standards for implementing the CoP

Tools for quality assurance (Eurostat handbook) ……………

Documentation of Code of Practice compliance – the French case: http://www.insee.fr/en/insee-statistique-publique/default.asp?page=qualite/pratiques.htm

Quality and standardisation Standardisation of processes, methods and systems Facilitates quality assessment and assurance Reduces risks Effectiveness Benchmarking Best practices also through international cooperation

Support and infrastructure in the Business process model Data Collection Dissemination Metadata system Analysis Data Editing and Estimation Archive Support and Infrastructure IT Services Information Management

Quality and methodology The pioneers were statisticians But what is the situation today? Need for revitalisation of statistical methodology within quality work?

Non-response rate and Diffusion Index with 95 percent confidence interval

Aspects of quality in register based statistics Relevance (for statistics) Accuracy (of each record) Timeliness (update of registers) and reference time Comparability (over time) Accessibility and clarity (documentation) Administrative concepts Coverage and completeness Record matching ability Compatibility (between file formats) Confidentiality Source: Eurostat meeting on Assessment of quality in statistics 2003

Administration of statistical populations Original register Statistical version

The way forward The Code of Practice has to be kept alive! National Quality Assurance: Agreeing on minimum standards Standardisation and harmonisation Bringing in the statisticians! Unlike businesses, we are free to cooperate!