Accuracy and reliability

Overall accuracy

The income derived from data in the Central Tax Administration's register is assumed to correspond to actual income. It’s worth noticing that undeclared work, and faulty reports to the tax authorities would mean that the income figures in the Provisional Income Statistics do not correspond completely to actual incomes.

The income data are generally of high quality inasmuch as they come from administrative registers. Use of administrative registers for statistical purposes may cause problems concerning the statistics. Information and data of direct importance to the administrative authority are more reliable than information and data without that kind of importance. For example, the breakdown of the A-income into various types of income is based on a code in the salary information slip, which is of little or no interest to the tax authority. This leads to codes of poor quality for some types of income. This has particularly been a problem for the delimitation of benefits from unemployment funds and cash benefits, which are therefore estimated in a separate model. The same reason causes estimation in a separate model of labour market pension pay-outs.

As we are dealing with a provisional data based on relatively early data from the e-income Register the data are subject to certain margins of inaccuracy. The data may be revised by the Tax authorities after the date on which we extract the information from the Register. This applies in particular to the salary information slips containing wages and salaries. However, the uncertainty caused by the revisions linked to the income data is marginal.

The estimation of the total benefits from unemployment funds and total cash benefits is based on the e-income register. The distribution of these benefits into various types of unemployment benefits and cash benefits is estimated using the register of people receiving public benefits. The result of an estimation model is by nature connected with some uncertainty. It also affects the received labour market pensions.

Sampling error

The sampling error is zero, since the register covers the entire population.

Non-sampling error

The income derived from data in the Central Tax Administration's register is assumed to correspond to actual income. It’s worth noticing that undeclared work, and faulty reports to the tax authorities would mean that the income figures in the Provisional Income Statistics do not correspond completely to actual incomes.

The income data are generally of high quality inasmuch as they come from administrative registers. Use of administrative registers for statistical purposes may cause problems concerning the statistics. Information and data of direct importance to the administrative authority are more reliable than information and data without that kind of importance. For example, the breakdown of the A-income into various types of income is based on a code in the salary information slip, which is of little or no interest to the tax authority. This leads to codes of poor quality for some types of income. This has particularly been a problem for the delimitation of benefits from unemployment funds and cash benefits, which are therefore estimated in a separate model. The same reason causes estimation in a separate model of labour market pension pay-outs.

As we are dealing with a provisional data based on relatively early data from the e-income Register the data are subject to certain margins of inaccuracy. The data may be revised by the Tax authorities after the date on which we extract the information from the Register. This applies in particular to the salary information slips containing wages and salaries. However, the uncertainty caused by the revisions linked to the income data is marginal.

The estimation of the total benefits from unemployment funds and total cash benefits is based on the e-income register. The distribution of these benefits into various types of unemployment benefits and cash benefits is estimated using the register of people receiving public benefits. The result of an estimation model is by nature connected with some uncertainty. It also affects the received labour market pensions.

Quality management

Statistics Denmark follows the recommendations on organisation and management of quality given in the Code of Practice for European Statistics (CoP) and the implementation guidelines given in the Quality Assurance Framework of the European Statistical System (QAF). A Working Group on Quality and a central quality assurance function have been established to continuously carry through control of products and processes.

Quality assurance

Statistics Denmark follows the principles in the Code of Practice for European Statistics (CoP) and uses the Quality Assurance Framework of the European Statistical System (QAF) for the implementation of the principles. This involves continuous decentralized and central control of products and processes based on documentation following international standards. The central quality assurance function reports to the Working Group on Quality. Reports include suggestions for improvement that are assessed, decided and subsequently implemented.

Quality assessment

The income derived from data in the Central Tax Administration's register is assumed to correspond to actual income. It’s worth noticing that undeclared work, and faulty reports to the tax authorities would mean that the income figures in the Provisional Income Statistics do not correspond completely to actual incomes.

The income data are generally of high quality inasmuch as they come from administrative registers. Use of administrative registers for statistical purposes may cause problems concerning the statistics. Information and data of direct importance to the administrative authority are more reliable than information and data without that kind of importance. For example, the breakdown of the A-income into various types of income is based on a code in the salary information slip, which is of little or no interest to the tax authority. This leads to codes of poor quality for some types of income. This has particularly been a problem for the delimitation of benefits from unemployment funds and cash benefits, which are therefore estimated in a separate model. The same reason causes estimation in a separate model of labour market pension pay-outs.

As we are dealing with a provisional data based on relatively early data from the e-income Register the data are subject to certain margins of inaccuracy. The data may be revised by the Tax authorities after the date on which we extract the information from the Register. This applies in particular to the salary information slips containing wages and salaries. However, the uncertainty caused by the revisions linked to the income data is marginal.

The estimation of the total benefits from unemployment funds and total cash benefits is based on the e-income register and the distribution of these benefits into various types of unemployment benefits and cash benefits is estimated using the register of people receiving public benefits. The result of an estimation model is by nature connected with some uncertainty. It also affects the received labour market pensions.

Data revision - policy

Statistics Denmark revises published figures in accordance with the Revision Policy for Statistics Denmark. The common procedures and principles of the Revision Policy are for some statistics supplemented by a specific revision practice.

Data revision practice

Only final figures are published.