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Statistical Analysis of the Italian pension system: a nonparametric approach

Authors: Giacalone, Massimiliano; Piscopo, Gianfranco; Marra, Stefano; Marciano, Chiara;

Statistical Analysis of the Italian pension system: a nonparametric approach

Abstract

The complexity of the Italian pension system has long been the subject of de­bate and study. Over the years, the pension system has undergone significant changes and has been influenced by legislative, economie, and demographic factors. This complexity also stems from territorial differences among the various areas, with northern areas characterized by greater financial resilience and contributory capacity, and Southern areas marked by a greater need for welfare policies and a reduced ability to offer employment opportunities. Consequently, the South generates lower contribution revenues necessary for the pension system's functioning than other areas of Italy. This work aims to understand the dynamics that lead to these anomalies through a nonparametric statistica! perspective, analyzing vari­ables of diverse nature ( demographic, macroeconomie, and social security). Using statistica! indicators and non-parametric techniques, the study explores how demographic dynamics, pension policies, and macroeconomie trends vary over time and between different areas. The results highlight critical issues related to the disparities observed within the macro area (North, Center, and South).

Country
Italy
Keywords

Statistical analysis, Italian pension system, Demography, Non-parametric techniques., Statistical analysis, Non-parametric techniques., Statistical analysis, Italian pension system, Demography, Non-parametric tec­hniques., Italian pension system, Demography

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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