Accuracy and reliability
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Short Term Statistics, Business StatisticsLina Pedersen
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Revisions on the indices can occur three and a half years back in time, but usually major revisions occur in later periods. The reliability of the statistics increases updates on indices from Purchases and Sales by Firms, Producer Price Index for Services and Consumer Price Index. There are no calculations on uncertainty.
Overall accuracy
There are no calculations of uncertainty.
Sampling error
Not relevant to these statistics.
Non-sampling error
The uncertainty of the statistics covers: - Turnover based on corporate VAT reporting is used as approximation for revenue. - Forecast values are used for missing values of the Producer price index for services. - For the price indices approximations are used for the industry groups where there is no 1: 1 comparison.
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
Revisions: The reliability of the statistics increases updates on indices from Purchases and Sales by Firms, Producer Price Index for Services and Consumer Price Index. Estimates on business groups : When using estimates for industry groups gives uncertainty to precision. We do not know the extent of uncertainty associated with this model assumption.
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
The revisions have been tested for the month of December 2015 (2016M12), and has been revised in November 2017 (2017M11). The conclusion of the test was that the revisions of the non-adjusted indexes were generally small and ranged between 0.5 and 1.5 per cent.