Skip to content

Accuracy and reliability

Contact info

Short Term Statistics, Business Statistics
Kari Anne Janisse
+45 39 17 36 09

kjs@dst.dk

Get as PDF

Leisure and Business Trips

The statistics are affected by statistical sampling errors and memory bias, especially regarding the expenditure questions.

Due to the sampling method, statistical errors do occur. For the net propensity to undertake a holiday trip the interval made up as the estimated value +/- 2 per cent will contain the true value in 95 per cent of the cases.

Overall accuracy

The overall accuracy is not calculated.

Sampling error

Not calculated.

Non-sampling error

Not calculated.

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 key figures are reliable, but detailed breakdowns are at the moment considered unreliable due to a low response rate.

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

There may be discrepancies between preliminary and final results.