InGRID Deliverable 23.1.: Case studies

The InGRID work package 23 on high-performance statistical quality management focuses on improvements in the development and accuracy of indicators. That requires the construction of a shared knowledge on theories and best practices to judge the quality and appropriateness of indicators through an empirical analysis. This covers methodological advances as well as practical considerations of indicators for poverty, social exclusion, and related fields. Additionally to methodological advances, a simulation lab is developed to foster open and reproducible research for future developments in the InGRID research area using SILC related data. This first deliverable covers methods in several areas: - multidimensional indicators - non-response and imputation - small area estimation, and - measuring level and change As an additional asset, the AMELIA dataset, which was originally started within the FP7 project AMELI (http://ameli.surveystatistics.net), was further developed to provide a sound basis for comparable and reproducible research. The start of AMELIA was related to SILC data. Further developments will integrate time change and will allow to enhance the data with other sources of interest for the InGRID research.