Donzé, Laurent Lettry, Layal Christine 2023 The anonymous data of the Swiss Pension Register (CCO/FSIO) (PR) are typically used to estimate (in the short, middle and long term) the future revenues and expenditures of the Old-Age and Survivors’ Insurance (OASI). In this perspective, it is essential to have a clear look at the register’s main statistical features. To better understand it and benefit more from its richness, we propose analysing the raw data by an appropriate clustering method. application/pdf https://folia.unifr.ch/global/documents/324081 https://folia.unifr.ch/documents/324081/files/WP_SES_529.pdf eng info:eu-repo/semantics/openAccess License undefined Kamila Clustering R AVS AHV OASI Swiss Pension Register FSIO prediction strength criterion classification RAMD AADR UniFr info:eu-repo/classification/udc/33 Clustering the Swiss Pension Register http://purl.org/coar/resource_type/c_18ws