KOMUSO WP3 Literature reviews
A critical review of existing quality measures and approaches to evaluate and compare the quality of the output based on several sources (among which at least one is an administrative source) started in January 2016. The ESSnet took stock of the existing practices for measuring and assessing the quality of multisource statistics either at a country level or at international level. The work included examination of quality measures for an integrated output and a framework for quality reporting on mixed sources statistics (excluding Big Data).
LR2_1 Estimating classification errors in administrative and survey variables by latent class analysis
LR2_4 A Comparison of Methodologies for Classification of Administrative Records - Quality for Census Enumeration
LR2_7 Estimating measurement errors in administrative and survey variables by structural equation models