Design and Estimation of Surveys to Measure Data Quality Aspects of Administrative Data

Publisher:
Springer
Publication Type:
Journal Article
Citation:
Lithuanian Journal of Statistics, 2012, 51 (1), pp. 5 - 16
Issue Date:
2012-01
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National Statistics Institutes (NSIs) have been increasingly seeking to replace or enhance traditional survey-based data sources with administrative data sources; with the aim to improve overall quality in the absence of a definitive register of the population. The Beyond 2011 Census Programme in England and Wales is an example of looking to replace a traditional census with administrative data collected for another purpose by a different organisation, when there is no definitive register as a starting point. There are also similar projects across NSIs within the area of business surveys looking to use administrative sources to reduce cost and burden. In this paper we start with considering all aspects of a quality framework for administrative data and then focus on the elements relevant to data quality such as accuracy and coherence. We fit these concepts into the framework for total survey error highlighting the components an NSI needs to measure to produce estimates based on the administrative data. We then explore the use of both dependent and independent quality surveys to adjust the administrative data for `measurement and `coverage aspects to improve the quality of estimates produced from the administrative data.
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