What is it about?
The quality of official statistics is dependent on the quality of data sources used as input. Different types of data sources are used to produce statistics: survey, administrative and big data. For each type of source, there are different ways to assess their quality. A downside of this, is that the quality assessments are hard to compare. A comparison between sources is especially important when multiple data sources are combined to create one statistics.
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Why is it important?
This article proposes a single framework to assess quality of data sources that is applicable to all types of sources and results in comparable conclusions for all types of data sources. When a statistic is based on two or more data sources of different types, their quality can now be assessed in the same way and a fair comparison can be made.
Perspectives
The inclusion of two real-world examples illustrates the usefulness of the proposed quality framework.
Yvonne Gootzen
Centraal Bureau voor de Statistiek
Read the Original
This page is a summary of: Quality framework for combining survey, administrative and big data for official statistics, Statistical Journal of the IAOS, May 2023, IOS Press,
DOI: 10.3233/sji-220110.
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