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 is organised within ESS.VIP.ADMIN and sees participation from Denmark, Norway, Netherlands, Hungary, Austria, Ireland, Lithuania, and Italy.

Paper reviewed:

Paper reviewed:

• Chen, B. (2012), A balanced system of U. S. Industry Accounts and Distribution of Aggregate Statistical Discrepancy by Industry, Journal of Business and Economic Statistics, Vol. 30 (2), pp. 202-211.

Methods for balancing the national accounts–simple illustration of principle

Paper reviewed:

[no-lexicon]Paper reviewed:

Knottnerus, P. (2016), On New Variance Approximations for Linear Models with Inequality Constraints. Statistica Neerlandica 70, pp. 26-46.

Paper reviewed:

Papers reviewed:

[no-lexicon]Paper reviewed: Knottnerus , P. and C. v an Duin (2006), Variances in Repeated Weighting with an Application to the Dutch Labour Force Survey. Journal of Official Statistics 22 , pp. 565 – 584.

Paper reviewed:

Di Consiglio L., Tuoto T. (2015). Coverage evaluation on probabilistically linked data, Journal of Offic ial Statistics, Vol. 31, No. 3

Papers reviewed:

S. Gerritse, P.G.M. van der Heijden, B.F.M. Bakker. Sensitivity of Population Size Estimation for Violating Parameter Assumptions in Log - linear Models. Journal of Official Statistics , Vol. 31, No 3, 2015, pp. 357 - 379, http://dx.doi.org/10.1515/JOS-2015-0022.

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.

[no-lexicon]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, [no-lexicon]pp[/no-lexicon]. 1-8, 2015

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. 231–247, http://dx.doi.org/10.1515/JOS-2015-0015

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.

Quality Assessment Tool for Administrative Data
Author: Paul S. Marck, U.S. Census Bureau, Research and Methodology Directorate, Quality Program Staff, Conference contribution to the European Conference on Quality in Official Statistics, Vienna, 2-5 June 2014