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Quality of registers used for the Dutch census

Quality of registers used for the Dutch census. Eric Schulte Nordholt Senior researcher and project leader of the Census Statistics Netherlands Division Socio-economic and spatial statistics e.schultenordholt@cbs.nl

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Quality of registers used for the Dutch census

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  1. Quality of registers used for the Dutch census 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 Expert Group Meeting on Censuses Using Registers in Geneva (22-23 May 2012)

  2. 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

  3. 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

  4. 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 (-)

  5. 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

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

  7. 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

  8. Data considerations in the Dutch Census of 2011 (2) • Registers: • Population Register (PR), >16.6 million 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)

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

  10. Important variables are missing Suffers seriously from selective undercoverage Purpose dataprovider unclear Low frequency of delivery Results Source hyper dimension

  11. Unique keys can’t be easily used for linking Time period in source can’t be transferred easily to the time point needed Time differences in reporting periods Results Metadata hyperdimension

  12. Results Data hyper dimension - completeness

  13. Results Data hyper dimension – accuracy

  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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