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Quality of Registers U sed F or T he Dutch Official S tatistics

Quality of Registers U sed F or T he Dutch Official S tatistics Mr. Erick Schultz Nordholt. Quality of registers used for the Dutch official statistics. Eric Schulte Nordholt Senior researcher and project leader of the Census Statistics Netherlands

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Quality of Registers U sed F or T he Dutch Official S tatistics

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  1. Quality of Registers Used For The Dutch Official Statistics Mr. Erick Schultz Nordholt

  2. Quality of registers used for the Dutch official statistics Eric Schulte Nordholt Senior researcher and project leader of the Census Statistics Netherlands Division Socio-economic and spatial statistics e.schultenordholt@cbs.nl Presentation at the Abu Dhabi Statistics Conference 2013: Contributing to Development – Improving Quality of Administrative Data(12-13 May 2013)

  3. Contents Quality in official statistics Register-based statistics compared to statistical surveys Combining research Data considerations in the Dutch Census of 2011 Introduction to the quality framework Results Source hyper dimension Results Metadata hyper dimension Results Data hyper dimension Conclusions

  4. Quality in official statistics Definition of quality in statistics according to Eurostat “Code of practice” Product quality Relevance Accuracy Timeliness and punctuality Comparability and coherence Accessibility and clarity Process quality Best methods Cost efficiency Low response burden

  5. Register-based statistics compared to statistical surveys (1) Costs (++) Response burden (++) Relevance (-) Not all variables are included in registers Less direct control over data content Accuracy (0) Timeliness (-)

  6. Register-based statistics compared to statistical surveys (2) Administrative registers offers Total coverage at a low cost Statistics for small groups possible (compared to sample surveys) Annual (or more frequent) data for all variables Annual “censuses” To produce statistics based on administrative data has proved to be efficient Register-based statistics have to be supplemented by information from sample surveys

  7. Combining research Development of a quality framework for administrative data • Data decisions on secundary sources in the Dutch Virtual Census of 2011

  8. Data considerations in the Dutch Census of 2011 (1) Last traditional census: 1971 Unwillingness (nonresponse) and reduction ofexpenses  no more traditional censuses Alternative: virtual census 1981 and 1991: Population Register and surveys Development 90’s: more registers → 2001 and 2011: integrated set of registers and surveys European Census Act → hypercubes

  9. Data considerations in the Dutch Census of 2011 (2) Registers: Population Register (PR) contains 16,655,799 records Jobs file, containing all employees Self-employed file, containing all self-employed Unemployment Benefit Register (UR) Social Security Register (SR) Education Register (ER) New Housing Register (HR) Surveys: Survey on Employment and Earnings (SEE) stopped Labour Force Survey (LFS) Housing survey (HS)

  10. Introduction to the quality framework METADATA DATA SOURCE SOURCE: - Focus on data source as a whole - Contact information related - Delivery related aspects - and more METADATA: Focuses on the (availability of the) information required to understand and use the data in the data source • DATA: • Technical checks • Accuracy related issues data source

  11. Results Source hyper dimension Important variablesare missing Suffers seriously from selective undercoverage Purpose dataprovider unclear Low frequency of delivery

  12. Results Metadata hyper dimension Unique keys can’t be easily used for linking Time period insource can’t be transferred easily to the time point needed Time differences in reporting periods

  13. Results Data hyper dimension - completeness

  14. Results Data hyper dimension - accuracy

  15. Conclusions Quality of official statistics is an important aspect, especially when use is made of integrated data The virtual census has proved to be a successful concept in the Netherlands The quality framework is a useful tool for making data decisions in the virtual census The quality study will be extended to be able to determine how all census variables will be derived

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