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Editing of linked micro files for statistics and research. Data sources Background information for editing Creating linked files Employee jobs Confidentiality and privacy. Datasets and input. Base Registers. Statistical Surveys. Administrative Data sets. Enterprises Internal Data
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Data sources • Background information for editing • Creating linked files • Employee jobs • Confidentiality and privacy
Datasets and input Base Registers Statistical Surveys Administrative Data sets Enterprises Internal Data Systems Web- questionnaire Paper Questionnaire
Editing at response time Checks and corrections interacting with respondent Collecting information from the prosesses Enterprises Internal Data System Web- questionnaire
Editing using prosessinformation Statistical Surveys Editing without interaction with respondent Collected information from the prosesses on web-questionnaires Paper Questionnaire
DynarevDynamic revision in business surveys Total population Sampled population Publishing Data collection Enterprise accounts, other administrative data and statistical surveys Metadata
Dynarev Total population Sampled population Calculation- basis and rules Publishing Data collection Editing Calculating Checking rules Enterprise accounts, other administrative data and statistical surveys Metadata
Data sources for research • The strength of administrative data • Longitudinal databases • Base registers • Education • Labour force • Income • Transfers • Annual Census file • Health indicators
Infrastructure for creating linked files • The advantage of use of linked files • Base registers and official ID numbers • Consistency control • Creation of linked files - centralisation
Editing and imputation • Longitudinal data • Base register of person • Base register of business • Base register of dwelling • Enterprise accounts • Labour Force
Employee jobs by source Norway • Two sources • A = Tax Agency • B = Social Security • Jobs in A and B 1 911 000 • Jobs only in A 169 000 • Jobs only in B 26 000 • Total employee jobs 2 106 000
Editing and imputation • Annual Census micro file • Activities and source of livelihood • Micro file on generations
Editing and imputation of linked files for administrative purposes • E-government – a variable should be reported only once • A new agency to reduce number of persons not in the labour force • 2 400 000 in Labour Force 700 000 not in LF • Editing and imputation by documented corrections
Confidentiality and privacy • Administrative data are often sensitive • Data Inspectorate • Classification • Identifiable – ID number • De-identified – ID number removed • Anonymised – not possible to link to other sources