1887

International Recommendations for Distributive Trade Statistics 2008

image of International Recommendations for Distributive Trade Statistics 2008

The publication provides recommendations on the concepts, definitions, classifications, data sources, data compilation methods, approaches to data quality assessment, metadata and dissemination policies applicable in distributive trade statistics. The recommendations also cover some specific topics that have been identified as requiring additional guidance such as the treatment of informal sector units, compilation of indices of distributive trade and seasonal adjustment. The information is consistent with those issued in other fields of economic statistics and has been harmonized with the System of National Accounts 2008 (2008 SNA).

English Spanish

.

Data quality and metadata

Quality measurement of distributive trade statistics. Data on distributive trade statistics are the end product of a complex process comprising many stages starting from the collection and processing of data to compilation and dissemination of statistics. Quality measurement of distributive trade statistics is concerned with providing users with sufficient information to judge whether or not the data are of adequate quality for their intended use, that is to say, to judge their “fitness for use”. For example, data users must be able to verify that the conceptual framework and definitions that would satisfy their particular data needs are the same as, or sufficiently close to, those employed in collecting and processing the data. Users need also to be able to assess the degree to which the accuracy of the data is consistent with their intended use or interpretation. All the measures that a statistical office takes to assure quality of statistical information constitute quality management.

English Spanish

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error