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These guidelines discuss the integration of statistical and administrative data sources, providing infrastructure, usage scenarios, and necessary conditions for integration. They cover specific use cases such as editing, imputation, weighting, estimation, alignment, and creation of statistical registers.
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Guidelines on the use of estimation methods for the integration of administrative sources WG Methodology 2018/05/03
Objectives of the guidelines Background information Structure of the guidelines Content - usage scenarios Next steps Purpose of the presentation To discuss and approve the draft guidelines before it goes for further consultation in other expert group. Overview
Nowadays statistical products regularly rely on different data sources which are often called as multi-source statistics • Distinction between two kinds of data sources • Statistical data • Administrative data • The guidelines consider the integration of these two kinds of sources Objective of the guidelines - 1
For the integration of statistical data and administrative data it is necessary: • To create an infrastructure which supports the integration • To distinguish different usage scenarios for the integration • To understand the conditions necessary for the application of the different methods Objective of the guidelines - 2
Sources used in the guidelines: • ESS.VIP Admin WP 2: Statistical methods https://ec.europa.eu/eurostat/cros/content/wp2-statistical-methods_en • ESSnet MEMOBUST https://ec.europa.eu/eurostat/cros/content/memobust_en • ESSnet Data integration https://ec.europa.eu/eurostat/cros/content/data-integration_en • ESSnet on quality of multisource statistics – KOMUSO https://ec.europa.eu/eurostat/cros/content/essnet-quality-multisource-statistics-komuso_en • ESSnet on the use of administrative data and accounts data in business statistics https://ec.europa.eu/eurostat/cros/content/use-administrative-and-accounts-data-business-statistics_en • A.&B. Wallgren: Register-based Statistics Background information
The guidelines are organised as follows • Introduction – Chapter 1 • The use of administrative data in statistical production (defining typology of use cases) – Chapter 2 • Specific use cases – Chapter 3 – 9 • The chapters 3 – 9are self-contained and can be read independently • The structure of these chapters is as follows: • Description of the usage scenario • Short description of the possible methods and workflow • Evaluation of the application of the different methods and workflows • Examples and references Structure of the guidelines
Using administrative data for editing of statistical micro-data Using administrative data for imputation of statistical micro-data Using administrative data for weighting and estimation of time series Using administrative data in small area estimation Using administrative data for alignment of statistical units Alignment of measurements for administrative variables Usage scenarios - 1
Data integration for statistical micro-data and administrative data based on matching of object characteristics Data integration for statistical micro-data and administrative data based on statistical matching (data fusion) Macro-integration based on adjustment of micro and macro-data Usage scenarios - 2
Creation of statistical registers from administrative registers Updating of statistical registers using administrative registers Combining administrative sources for tabulation of statistical results Substitution and supplementation for direct collection Usage scenarios - 3
After approval of WG methodology: • consultation in other working/expert group • consultation with DIME/ITDG • proposal for ESS standard Next steps
Thank you for your attention! Feedback, comments are welcomed! ESTAT-methodology@ec.europa.eu