Accuracy and reliability

Overall accuracy

Overall, the statistic will be underestimated since the part of the population not part of the target population is avoided due to an ongoing correction of the population. Some statistical uncertainty is related to the subdividing: the continuously development of new lending facilities in the market might give problems for the companies to categorize certain type of loans.

Sampling error

Not relevant for these statistics.

Non-sampling error

There might be some uncertainty connected to the degree of coverage. In co-operation 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.

Over-coverage for this statistic may be instances where a business receives deposits. In the event that a company goes from not receiving deposits to accepting deposits, this business is deleted from the statistic. It is estimated that these companies is sorted out before publication, so the Over-coverage is considered to be zero.

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

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.

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

No revisions are made to the published statistics.