ESS Workshop on the use of administrative data and social statistics
4 and 5 June 2019
Workshop on using administrative da
Workshop on access to administrative data sources (Brussels, 13-14 September 2016)
The goal of this project is to help ESS
The project "ESSnet
The main objectives of this project are to explore the possibilities of the use of admin data for business statistics, to make best practices in this area available to the NSIs, and to prepare recommendations on the efficient ways of producing business statistics by using data that are already available in the economy.
This report presents the results from the first work package within the ESSnet titled Quality of multisource statistics (also known as ESSnet KOMUSO applying an imperfect acronym). The ESSnet
Di Consiglio L., Tuoto T. (2015). Coverage evaluation on probabilistically linked data, Journal of Offic ial Statistics, Vol. 31, No. 3
Paper reviewed: Fosen, J. and L. - C. Zhang (2011), Quality assessment of register - based census employment status, Proceedings of the International Statistical Institute, World Congress, Dublin.
Paper reviewed: Fosen, J. and Zhang, L.-C. (2011), Quality assessment of register-based census employment status, Proceedings of the International Statistical Institute, World Congress, Dublin.
Administrative data are used more and more in official statistics as a replacement for survey data.
When data sets are linked at individual level, for instance survey data with administrative data, often no unique linkage keys are available. In that case, probabilistic linkage may be used. With probabilistic linkage, linkage errors will occur. These errors may have impact on subsequent statistical analysis.
Guarnere U., Variale R. Estimation from contaminated multi-source data based on latent class models. Statistical Journal of the IAOS , vol. Preprint, no. Preprint, pp. 1-8, 2015
Darcy Steeg Morris , A Comparison of Methodologies for Classification of Administrative Records (Quality for Census Enumeration ) JSM 2014 - Survey Research Methods Section pp
Schnetzer, M., Astleithner, F., Cetkovic, P., Humer, S., Lenk, M., and Moser, M. (2015), Quality Assessment of Imputations in Administrative Data, Journal of Official Statistics, Vol. 31, No. 2, pp
Asamer E., Astleithner F., Ćetković P., Humer S., Lenk M., Moser M. and Rechta H. (2016a): Quality Assessment for Register-based Statistics - Results for the Austrian Census 2011. Austrian Journal of Statistics Vol. 45, No. 2, pp