Transcript Presentation - Quality on Statistics 2010

Statistisches Bundesamt
Quality aspects of merging administrative
and survey data on social issues:
Seven examples from Germany
Bernd Becker
Federal Statistical Office, Branch Office Bonn, Germany
Presentation at the
European Conference on Quality in Official Statistics (Q2010)
in Helsinki/Finland
May 4-6, 2010
Statistisches Bundesamt
Recent (conflicting?) challenges
for social statistics:
•Go „Beyond GDP“
•Meet user needs on „new“ issues
•Reduce response burden
•Use more administrative statistics
•Mind the quality standards
-> more statistics on social issues are needed?
-> no: do „intelligent“ statistics
4.5.2010
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Statistisches Bundesamt
Merged statistics on social issues:
•Microcensus
•Employees subject to social security
•Unemployment statistics
•Recipients of various social security benefits
•Day-care for children
•Parental allowances
•Disabled persons
•Institutions for long-term care
•Public payments for long-term care
(red=admin.
source)
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Statistisches Bundesamt
Seven examples on social issues:
Labour market
1 Scope of employment subject to social security
schemes
Social security
2 Poverty risk and additional social indicators
3 Extent of minimum social security protection
Children and youth
4 Child care and relations to other social issues
5 Social dimensions of parental allowances
Disability and long term care
6 Number and share of disabled persons
7 Extent of long-term care
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Statistisches Bundesamt
Selected types of merging statistics:
Ideal: merging on micro level (as usual in Nordic
countries)
Second best: merging on aggregated level
1. Adding up different populations
2. Adding information from one to another source (more
detailed information about the same population
extracted from other sources)
3. Calculating relations between different populations
4. Adjusting data of one source with the information of
another source
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Statistisches Bundesamt
Various aspects of „quality“
15 main principles of the European „Code of Practice“:
•professional independence, mandate for data collection
•adequacy of resources, quality commitment
•statistical confidentiality, impartiality and objectivity
•sound methodology, appropriate statistical procedures
•non-excessive burden on respondents, accessibility and
clarity
•reliability, accuracy and relevance
•timeliness and punctuality, coherence and comparability
•cost effectiveness
(black=„trad.“ quality aspects)
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4.5.2010
Statistisches Bundesamt
Cooperation between administrative and
statistical authorities:
a MUST for all further activities:
1 Harmonize further administrative and statistical data
2 Extend right of statistical agencies to access and use
administrative data
substantially
3 Intensify cooperation between administrative and statistical
institutions
4.5.2010
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Statistisches Bundesamt
I would be happy to answer your questions!
For further contacts: [email protected]
4.5.2010
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