Data Source

Registry

Type of Study

Regitries

Data gathering method

Registries

Data Source

Registry

Type of Study

Registries

Data gathering method

Registries

Conditions of access

Formal agreements (e.g. fees, research contracts, institutional agreements, etc.)

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.

Time elapsed between application and reception of data

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.

Type of available data (e.g. anonymised microdata, aggregated tables, etc.)

Anomymised microdata.

Formats available

SAS

Language issues

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

Conditions of access

Formal agreements (e.g. fees, research contracts, institutional agreements, etc.)

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.

Time elapsed between application and reception of data

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.

Type of available data (e.g. anonymised microdata, aggregated tables, etc.)

Anomymised microdata.

Formats available

SAS

Language issues

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

Years of collection, reference years, and sample sizes

Data collection is ongoing since 1991. It covers all Danish people who have received transfer income. The data is updated weekly.

First year of collection

1991

Stratification if applicable

N.A.

Base used for sampling

Covers the part of the population who have received transfer payments.

Geographical coverage and breakdowns

N.A.

Age range

Covers the part of the population who have received transfer payments.

Statistical representativeness

Covers the entire population

Coverage of main and cross-cutting topics

The registry covers all transfer payments and employment status.

Further Reading

A report using the data is available in English at http://www.dreammodel.dk/pdf/D2002_01.pdf

Years of collection, reference years, and sample sizes

Data collection is ongoing since 1991. It covers all Danish people who have received transfer income. The data is updated weekly.

First year of collection

1991

Stratification if applicable

N.A.

Geographical coverage and breakdowns

N.A.

Age range

Covers the part of the population who have received transfer payments.

Statistical representativeness

Covers the entire population

Coverage of main and cross-cutting topics

The registry covers all transfer payments and employment status.

Further Reading

A report using the data is available in English at http://www.dreammodel.dk/pdf/D2002_01.pdf

Standardisation

N.A.

Possibility of linkage among databases

Data from the DREAM database can be linked to other register data available at Statistics Denmark through an encrypted identification key.

Standardisation

N.A.

Possibility of linkage among databases

Data from the DREAM database can be linked to other register data available at Statistics Denmark through an encrypted identification key.

Entry errors if applicable

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.

Breaks

Some of the codes do not apply for all years since politics, and therefore the different programmes have changed.

Consistency of terminology or coding used during collection

Data is updated weekly primarily using the same codes

Entry errors if applicable

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.

Breaks

Some of the codes do not apply for all years since politics, and therefore the different programmes have changed.

Consistency of terminology or coding used during collection

Data is updated weekly primarily using the same codes

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).

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).