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Accuracy and reliability

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Government Finances
Jesper Søgaard Dreesen
+45 51 64 92 61

JSD@dst.dk

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Finance Companies, Accounts Statistics (Discontinued)

These statistics accuracy and reliability is considered to be good. Based on the response rate of 100 percent, and the way the statistics are designed. However, there may be some uncertainty associated with coverage error, and measurement error due to new players and ongoing product development in the industry.

Overall accuracy

The information is compiled directly from the concerning firms. The response rate is 100. As the concepts for which data are reported are well-defined, the data can in most cases be extracted directly from the annual accounts of the reporting units. The reported information is therefore considered very accurate.

Some statistical uncertainty is related to the coverage of the statistics. In cooperation with the trade associations of the reporting units, the reporting population is currently revised in order to achieve and maintain the highest possible degree of coverage. However, as the degree of organization is not known in this area, it is possible that large companies, which are not members of the trade associations, may have operated in the market over some period of time without having been included in the reporting population.

Sampling error

Not relevant for these statistics.

Non-sampling error

Based on how the target population is defined and with a non response error of zero the non-sampling error is caused by coverage error, and measurement error.

Quality management

Statistics Denmark follows the recommendations on the organisation and management of quality set out in the Code of Practice for European Statistics and the accompanying implementation model, the Quality Assurance Framework. Read more about these on the page Quality in official statistics.

Quality management is supported by common principles, guidelines and managerial responsibility for quality in statistical products and processes. The aim is to ensure a systematic and consistent approach to quality across the entire statistical production.

Quality assurance

Quality assurance at Statistics Denmark is integrated into the statistical production processes and is carried out in accordance with the principles of the Code of Practice for European Statistics. Read more on the page Quality in official statistics.

Quality assurance includes the continuous use of standardised procedures, documentation in line with international standards and internal controls related to data collection, data processing and dissemination. Experience gained from production is continuously used to identify needs for adjustments and improvements.

Quality assessment

The information is compiled directly from the concerning firms. The response rate is 100. As the concepts for which data are reported are well-defined, the data can in most cases be extracted directly from the annual accounts of the reporting units. The reported information is therefore considered very accurate. Statistics accuracy and reliability is considered to be good. Based on the response rate of 100 percent, and the way the statistics are designed. However, there may be some uncertainty associated with coverage error, and measurement error due to new players and ongoing product development in the industry.

Some statistical uncertainty is related to the coverage of the statistics. In cooperation with the trade associations of the reporting units, the reporting population is currently revised in order to achieve and maintain the highest possible degree of coverage. However, as the degree of organization is not known in this area, it is possible that large companies, which are not members of the trade associations, may have operated in the market over some period of time without having been included in the reporting population.

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.