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Norbert Rainer

Quality Reporting and Quality Indicators for Statistical Business Registers. Norbert Rainer. Special topic session 21. European Conference on Quality in Official Statistics Rome, 8 - 11 July 2008. Overview. Background and motivation Character of a statistical business register

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Norbert Rainer

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  1. Quality Reporting and Quality Indicators for Statistical Business Registers Norbert Rainer Special topic session 21 European Conference on Quality in Official Statistics Rome, 8 - 11 July 2008 statistik.at

  2. Overview • Background and motivation • Character of a statistical business register • Some criteria for quality indicators • Example Accuracy • Concluding remarks statistik.at

  3. Background and motivation (1) • Article 6 of the new BR – Regulation ( OJ L61, 5.3.2008, p. 6-16): Quality standards and reports (1) MS take all measures to ensure the quality of the BR (2) MS provide to the Commission (Eurostat) with a report on the quality of the BR (3) Details of the quality report to be adopted in accordance with the regulatory procedure with scrutiny (4) MS inform the Commission (Eurostat) on major changes affecting the quality of the BR statistik.at

  4. Background and motivation (2) • Eurostat Business register unit: • BR annual inquiry: included earlier few pilot questions on quality • BR Recommendations Manual: Chapter 10 Quality Policy • describes the quality dimensions (one additional: completeness) • explains causes of quality defects • reviews instruments of quality measurement • outlines quality improvement strategies • gives examples of quality indicators statistik.at

  5. Background and motivation (3) • Eurostat: development of standard quality indicators • The standard quality indicators: statistik.at

  6. Background and motivation (4) Source: Doc.ESTAT/02/Quality/2005/9/Quality indicators statistik.at

  7. Background and motivation (5) • The ESS Guidelines for quality reports (draft version 2) • With respect to quality indicators a distinction is made between the following six categories of statistics: • Sample surveys • Censuses • Statistics derived from administrative sources • Surveys involving data from multiple sources • Price indices • Statistical compilations Source: Doc.ESTAT/DDG-02/Quality/2008/05aa statistik.at

  8. Sample surveys Censuses Statistics derived from administrative sources Surveys involving data from multiple sources Price indices Statistical compilations not a sample at all and no survey intention of full coverage, but not a survey administrative sources are used, but a database multiple sources may be used, but a database not any similarities not any similarities Character of a statistical BR (1) Categories of statistics Statistical Business register Statistical registers statistik.at

  9. Character of a statistical BR (2) • BR is an instrument for conducting surveys • BR provides links to administrative sources • BR is a statistical database of longitudinal and cross- sectional character • BR is a statistical product to which the quality dimensions • Relevance • Accuracy • Timeliness and punctuality • Accessibility and clarity • Comparability and coherence • do also apply statistik.at

  10. Some criteria for quality indicators (1) • Quality indicators should be based on straightforward concepts so that international comparabilitycould be achieved • Quality indicators should primarily refer to the quality of the statistical BR, not to the quality of the applied administrative data / register • Quality indicators should be selected and designed with a view to the main uses of the statistical BR • Quality indicators should not be restricted to certain quality measurement instruments statistik.at

  11. Some criteria for quality indicators (2) • A set of few, but significant indicators seems more appropriate than a long list of indicators • However, certain differentiations (especially with a view to accuracy or timeliness) need to be made in order to take into account the “weight” for the overall quality assessment, e.g.: • kind of units • size classes • whether sample unit or not • level of classification statistik.at

  12. Example: Accuracy Coverage Measures of under / over coverage Measures of falsely active units Measures of duplicates Completeness Measures of missing values of key variables Deliverability Measures of quality of address data Sampling Measures of qualityof activity coding Measures of qualityof other classification coding Measures of quality of size class coding Other processingaspects of Measures of wrong links to administrative data Measures of wrong unit structures etc. statistik.at

  13. Concluding remarks • Statistical registers are statistical instruments but also a statistics category of its own • Quality reporting guidelines should take this into account explicitly • Many countries have already produced quality indicators for their BR statistik.at

  14. THE END Thank you for your attention ! statistik.at

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