DREAM
DREAM
Topic |
Social Systems and Welfare
Work and Productivity
|
Relevance for this Topic |
|
Country | Denmark |
URL | |
More Topics |
Governance
Contact information
Statistics Denmark
Statistics Denmark
Sejroegade 11
DK-2100 Copenhagen
Denmark
Phone: (+45)39173130
Email: dst(at)dst.dk
Url:
www.cfk.rm.dk/.../...tation%20-%20version%2028.pdf
Timeliness, transparency
N.A.Access to data
Conditions of access
Ministry of Employment is in charge of the data, but Statistics Denmark has an agreement with the Ministry and access to data can be applied at SD.
Permission to use the Danish Registers has to be requested from the Danish Data Protection Agency. This will extend the application process by 1-2 months.
Anomymised microdata.
SAS
Documentation available in English: http://www.dreammodel.dk/pdf/D2002_01.pdf
http://www.dreammodel.dk/pdf/D1999_01.pdf
http://www.dreammodel.dk/pdf/D1998_01.pdf
Access to data
Conditions of access
Ministry of Employment is in charge of the data, but Statistics Denmark has an agreement with the Ministry and access to data can be applied at SD.
Permission to use the Danish Registers has to be requested from the Danish Data Protection Agency. This will extend the application process by 1-2 months.
Anomymised microdata.
SAS
Documentation available in English: http://www.dreammodel.dk/pdf/D2002_01.pdf
http://www.dreammodel.dk/pdf/D1999_01.pdf
http://www.dreammodel.dk/pdf/D1998_01.pdf
Coverage
Data collection is ongoing since 1991.
It covers all Danish people who have received transfer income. The data is updated weekly.
1991
N.A.
Covers the part of the population who have received transfer payments.
N.A.
Covers the part of the population who have received transfer payments.
Covers the entire population
The registry covers all transfer payments and employment status.
A report using the data is available in English at http://www.dreammodel.dk/pdf/D2002_01.pdf
Coverage
Data collection is ongoing since 1991.
It covers all Danish people who have received transfer income. The data is updated weekly.
1991
N.A.
N.A.
Covers the part of the population who have received transfer payments.
Covers the entire population
The registry covers all transfer payments and employment status.
A report using the data is available in English at http://www.dreammodel.dk/pdf/D2002_01.pdf
Data quality
Data is updated as soon as a person is on a benefit for as little as one day, but since only one weekly registration is possible, information is sometimes overwritten. Information about unemployment is regarded as more important than information about cash benefits, and sickness benefits are regarded as more important than information about job activation.
Some of the codes do not apply for all years since politics, and therefore the different programmes have changed.
Data is updated weekly primarily using the same codes
Data quality
Data is updated as soon as a person is on a benefit for as little as one day, but since only one weekly registration is possible, information is sometimes overwritten. Information about unemployment is regarded as more important than information about cash benefits, and sickness benefits are regarded as more important than information about job activation.
Some of the codes do not apply for all years since politics, and therefore the different programmes have changed.
Data is updated weekly primarily using the same codes
Applicability
Strengths:
The register is updated weekly, which makes it possible to perform exact longitudinal studies. It covers the entire population, which has received some kind of transfer payment. The data can also be linked to a range of different registers, e.g. social background information.
Weaknesses:
The dataset is not suitable for analyses on the population (but suitable for analysing changes over time).
Applicability
Strengths:
The register is updated weekly, which makes it possible to perform exact longitudinal studies. It covers the entire population, which has received some kind of transfer payment. The data can also be linked to a range of different registers, e.g. social back ground information.
Weaknesses:
The dataset is not suitable for analyses on the population (but suitable for analysing changes over time).
- The information about this dataset was compiled by the author:
- Chantal Nielsen
- (see Partners)