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Research on the quality of registers to make data decisions in the Dutch Virtual Census
Presentation at the 58th World Statistics Congress of the International Statistical Institute in Dublin
23 August 2011
Eric Schulte Nordholt ([email protected]), Saskia Ossen ([email protected]) and Piet Daas ([email protected])
Research on the quality of registers to make data decisions in the Dutch Virtual Census 1
Combining research
Development of a quality framework for administrative data
Data decisions on secundary sources in the Dutch Virtual Census of 2011
Research on the quality of registers to make data decisions in the Dutch Virtual Census 2
Contents
• 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
Research on the quality of registers to make data decisions in the Dutch Virtual Census 3
Data considerations in the Dutch Census of 2011 (1)Last traditional census: 1971
Unwillingness (nonresponse) and reduction ofexpenses no more traditional censuses
Alternative: virtual census1981 and 1991: Population Register and surveysDevelopment 90’s: more registers →2001 and 2011:integrated set of registers and surveysEuropean Census Act → hypercubes
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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
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Introduction to the quality framewok
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
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Low frequency of delivery
Suffers seriously from selective undercoverage
Purpose dataprovider unclear
Important variables are missing
Results Source hyper dimension
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Results Metadata hyperdimension
Time period in source can’t be transferred easily to the time point needed
Unique keys can’t be easily used for linking
Time differences in reporting periods
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Results Data hyper dimension -completeness
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Results Data hyper dimension –accuracy
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Results Data hyper dimension – accuracy
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Conclusions• 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” started in this paper will be extended to be able to determine how all census variables will be derived
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Time for questions and discussion