1 / 33

Secondary data: collection and use

Secondary data: collection and use. Presented by. Arnout van Delden Methodologist Statistics Netherlands. Secondary data. specific. Secondary Sources. Registers. Base registers. Statistical registers. FUTURE. PRESENT. PAST. Official Statistics. Post-war II Identifiers

clint
Download Presentation

Secondary data: collection and use

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Secondarydata: collection and use

  2. Presented by Arnout van Delden Methodologist Statistics Netherlands

  3. Secondary data

  4. specific Secondary Sources Registers Base registers Statistical registers

  5. FUTURE PRESENT PAST

  6. Official Statistics Post-war II • Identifiers • Concepts: variable, units, time • Population registers • Administrative Census • Denmark (1981), Finland (1991), Netherlands (2001)

  7. Use(EU/EFTA Survey 2010) • Frame • Observations • Auxiliary data • Model parameters • Data quality

  8. In sum • Many types of data sources • Long history • Potentially very useful

  9. CollectionExistenceAccess

  10. Existence • Data protection act • Organisation registers data under DPA

  11. Existence • Data protection act • Organisation registers data under DPA

  12. Access

  13. In Sum • Explore potential data sources • Access: legal uses and public consent

  14. Proper use

  15. Exploration phase Source Meta

  16. Processing phase: data useful? March ‘04 Dec ‘04 Turnover VAT data Turnover Sample Survey Turnover Sample Survey

  17. Data patterns

  18. Issues to consider

  19. Administrative data: • Many merits • Explore • More than adding up

  20. Access

  21. Access Set of base registers • data re-used • report errors • 1 contact person in NSI • large dependency users

  22. 2 Can I use of a specific data source?What ‘steps’ are needed? • Existence • Access • Fitness for use • Fall back scenario’s • Processing

  23. Processing: data integration • Linkage • Micro-integration • Imputation/weighting • Macro-integration

  24. Fall back scenarios Quarterly turnover from Survey en Admin data • Risk only data from month 1 and 2 • Model: missing units predicted from respondents • Indicator: how many and which units to call

  25. Fall back scenarios • Risk analyses • Strategy fall back scenario • Obtain missing data elsewhere? • Model-based approach • Inform users • Postpone publication

  26. Processing: robust estimation • Medical expenses (volume, prices) • Coding system for medical treatments • First coding in 2008 • Coding slightly revised 2009 • New coding system 2010

  27. Fitness foruse Data

  28. Use

  29. Concluding remarks • Merits • Reduction response burden • Detailed & Longitudinal • Longitudinal data • Consequences • Relations with administrative data holder • Prone to changes

More Related