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Data collection

Data collection. Administrative registers. Postal questionnaires. Other electronic transfers. ?!. Interviews – Telephone – Face-to-face. The Swedish register model. Many administrative systems and registers with nation-wide coverage – data collection by other public authorities.

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Data collection

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  1. Data collection Administrative registers Postal questionnaires Other electronic transfers ?! Interviews – Telephone – Face-to-face

  2. The Swedish register model Many administrative systems and registers with nation-wide coverage – data collection by other public authorities Register-statistical methodological work System of statistical registers Survey statistics: Statistics Sweden’s own data collection -Sample -Survey, interview Register statistics

  3. Main purpose of registers Register System • Statistics • Research • Sampling frames • Databank …for other registers …instead of questions in surveys • Combination registers/surveys • New registers - integration • Auxiliary information for estimation

  4. Administrative registers strength Register System • Reduce response burden • Reduce costs • Good coverage of units • Annual data • Good quality • Regional statistics • Longitudinal studies

  5. Basic registers Register System • Population Register • Real Estate Register • Business Register • Activity Register

  6. Register System The Register System

  7. Registers for research Data for research • Registers based on administrative data • Population and Housing Censuses • Longitudinal registers • Registers based on sample surveys

  8. Total Population Register Multi-Generation Register Income and Tax Register Educational Registers Occupation and Employment Registers Profession Register Administrative data Data for research

  9. 1960, 1965, 1970, 1975, 1980, 1985, 1990 Individual Datademography, occupation, industry, commuting, income, etc. Household data size of household, position in household, overcrowding, etc. Building datatype of ownership, year of construction, etc. Dwelling datatenure status, number of rooms etc. Population and Housing Censuses Data for research

  10. Longitudinal data Data for research • Longitudinal Database for Education, Income and Occupation (LOUIS) • Longitudinal Individual Database (LINDA)

  11. Longitudinal Database for Education, Income and Occupation (LOUIS) Data for research • 16 years and older • 1990 - 2003 • 175 variables • Demographic data • Educational data • Occupational data • Income data • Family-/Household data • Workplace-/Business data

  12. Sample based 300 000 persons (3 %) from Tax Register 1994. Yearly additions to maintain 3% Addition of 20% of foreign born persons Addition of family members Total 1.1 million persons 1968 - 2003 Demographic data Income data Salary data Pension data Unemployment data Educational data Occupational data Family-/Household data Workplace-/Business data Longitudinal Individual Database (LINDA) Data for research

  13. Sample survey data Data for research • Household Economy Survey (HEK) • Labour Force Survey (AKU) • Living Condition Survey • Work Environment Survey • Election Participation Survey • Election Behavioural Survey

  14. Multi-Generation Register • Purpose and Use • Contents • Links to other Registers • Sources • Development • Production • Results and Quality • Legal Rules

  15. Main Purpose Multi-Generation Register To establish, maintain and provide links between: • Child - Biological Mother and Father • Child - Adoptive Mother and Father … for research purposes ! Annual Versions New improved and extended version every year

  16. Use Multi-Generation Register • Medical Studies Where kinship plays a vital role • Social Studies Where e.g. family situation and adoptions is of key importance • Linkage to Medical Registers, Cancer Register, Census Registers, etc.

  17. Multi-Generation Register Research Studies • The Importance of Hereditary, Environmental and Immunology Factors in Pregnancy Complications and the Health of the New-Born Child • Age at Childbirth and Number of Children – Factors in Studies of Breast Cancer Risks • Maternal Lung Cancer and Testicular Cancer Risk in the Offspring • New Evidence on Germ-Cell Testicular Cancer Aetiology • Twins, Families and Cancer • Long-term Outcome of Patients with Rheumatoid Arthritis and Systemic Lupus Erythematosus with Special Reference to Cardiovascular Disease • Familial Resemblance of Body Mass Index and Familial Risk of High and Low Body Mass Index • Lone Parenting, Socio-economic Conditions and Severe Ill-health

  18. Contents Multi-Generation Register Basic Data Source: National Population Registration Main Data Store: Total Population Register (TPR) Main Information: Links between Persons and Biological - and Adoptive Parents Main Variable: Personal Identity Number (PIN) PIN: Identifies Persons Links Persons and Parents

  19. Relations Multi-Generation Register • Biological Parents • Adoptive Parents • Siblings • Stepchildren, Stepbrother, Stepsister • Aunts, Uncles • Cousins • Grandparents • Etc.

  20. Index Person Multi-Generation Register Index Persons are the main objects • Born 1932 and later and • Resident in Sweden some time from 1961 9 million Index Persons in the 2003 Version Annual increase through Birth and Immigration

  21. Target Population Multi-Generation Register Target Population = All Index Persons Born 1932 – Resident 1961 –

  22. Index person Personal Identity Number Sex Country of Birth Immigration Date of Adopted Index Person Biological Mother and Father Personal Identity Number Date of Birth Country of Birth Childs Position – Mother/Father Number of Children – Mother/ Father Adoptive Mother and Father Personal Identity Number Date of Birth Country of Birth Date of Adoption – Mother/ Father Date of ended Adoption – Mother/ Father Source Code Multi-Generation Register Variables

  23. The Register System Links to other Registers

  24. Multi-Generation Register Sources • Total Population Register (TPR) Main Source • Birth Register 1961-1967 Dead or Emigrated before 1991 • Personal Records Born 1932-1967 and Dead 1961-1967 • Population and Housing Census 1960 and 1970 Missing Data on Country of Birth

  25. Development Multi-Generation Register Cooperation: Karolinska Institutet Funding: Swedish Cancer Foundation, Wallenberg Foundation Focus: Index Persons with missing Data on Parents: • born 1932-1967 and • dead 1961-1967 Source: Personal Records from National Population Registration Data in National Archives

  26. Multi-Generation Register Production

  27. Multi-Generation Register Results Details by source SourceNumber of Details • Total Population Register 55 000 000 • Birth Register 1961-1967 70 000 • Personal Records 59 000 • Census 1960, 1970 32 000

  28. Multi-Generation Register ResultsCoverage CoverageShare (%) • Index Persons (9 million) almost 100 • Biological Mother / Father 85 / 83 born in Sweden 97 / 95 born in Sweden 1950 - 99 / 98 born abroad 27 / 23

  29. Confidentiality Legal Rules Confidentiality Test Secrecy Act Statistical Confidentiality - Information is Secret Exceptions for Research and Statistics Personal Data Act Handling of Personal Information – Legal, Correct Manner, Best Practice, Adequate, Relevant Sensitive Information – Consent Official Statistics Act Longitudinal Information – Serial Number as Identifier

  30. Mr Ingvar Johannesson Senior Adviser International Consultant Fields of work: Population Registration, Population Registers, Population Statistics, Population and Housing Censuses Statistics Sweden SE-701 89 Örebro SWEDEN Tel: +46 19 17 65 48, Fax: +46 19 17 69 42 E-mail: ingvar.johannesson@scb.se www.scb.se

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