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Administrative sources and quality of statistics. Øystein Olsen Director General, Statistics Norway Round table on the use of administrative data Chisinau, Moldova, May 28th 2010. Main points to be addressed. The basis for using administrative sources in statistics production
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Administrative sources and quality of statistics Øystein Olsen Director General, Statistics Norway Round table on the use of administrative data Chisinau, Moldova, May 28th 2010
Main points to be addressed • The basis for using administrative sources in statistics production • A register based strategy – some experiences from Statistics Norway • The management of statistical populations • The Norwegian Population Census 2011 • Conclusions
Statistics Norway in a nutshell: • Independence anchored in The Statistics Act (1989) • 1000 employees • Responsible for 85 percent of all official statistics in Norway • A Research Department within the institution • Serving ministries with macroeconomic and micro simulation models • Statistics based on administrative registers and surveys • About 300 statistics produced and 1000 (news) releases on www.ssb.no annually • International cooperation • The EU/EFTA statistical system • International consulting
The use of administrative data (1)Preconditions: • Legal base • Access to administrative data • Data protection (“one way traffic”) • Public approval • Common identifiers • Comprehensive and reliable register systems • Co-operation among authorities • Formal (bilateral) agreements • Feedback to register owners
The use of administrative data (2)Lessons learned: • The use of administrative data is cost effective • The exploitation of administrative data is of utmost importance in order to reduce the burden • The NSI should take an active role! • There are limitations to the use of administrative data • Inflexibility regarding choice of categories • Time lags and insufficient updating • One cannot avoid direct data collection!
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
Master registers and statistical registers The owner of the register Statistics Norway The base register A true copy The statistical base register Statistical registers are the building block of statistical systems The original
Administration of statistical populations Original register Statistical version Address is the link key
e-Government: A common data delivery portal National Questionnaire Repository CCRE Register for Legal Entities Questionnaire design Altinn Portal SBR Business Register SN Metadata Predefined Respondent Roles ALTINN Statistics Norway
Assosiated registers to CCRE Statistics Norway (SN) Directorate of Taxes Brønnøysund Register Centre VAT register Business Register(SBR) Corporate Taxation Data Register Register of Bankruptcies Register of Business Enterprises Central Coordinating Register for Legal Entities (CCRE) Lottery Inspection Norwegian Labour and Welfare Organisation Register of Employers Register of Foundations
Towards a fully register based census…. Dwelling address project: Establishing a link between dwellings and resident persons Labour market Social security. GAB Income CPR Education Dwellings Develop register-based statistics Dwellings Buildings Families Couples Households Persons Families and households Develop register-based statistics Questionnaires Combined method in 2001: € 12 500 000 A register based census in 2011: € 1 250 000 (estimate)
Multi-dwelling buildings before Census 2001 ? H0102 H0103 H0101 H0104 Main street 8 A
Multi-dwelling buildings after Census 2001 H0102 H0103 H0101 H0104 Main street 8 A • But quality problems always exist…..
Registerbased Education Statistics Each year: Registerbased data from schoolowners Yearly Statistics National education database (NUDB) Tertiary ISCED 5-6 70 universities and colleges Year X Year X+1 Year X+2 ….. • Longitudinal data: • Enrollment • - Graduates • - Educational attainment Upper secondary ISCED 3-4. From Counties
Conclusions • Efficient usage of administrative sources require strong political support • The legal framework is decisive • should secure NSI’s access to administrative data • Common e-Government initiatives, like Altinn, are also major contributions to the quality of registers. • The Norwegian experience: • The multiple usage of administrative registers, and close cooperation between register owners and (re)users of data has substantially increased the quality of the basic statistical populations, and the statistical output.
Thank you for your attention! Questions ?