This study introduces a methodological framework for creating a MultiDimensional Inequality Gini Composite Indicator (MDIGI) to assess cultural and digitalization disparities among Italian regions. The novel approach involves extending PCA to three-way data using the PARAFAC model to determine indicator weights, thereby enhancing the MDIGI’s capacity to capture inequalities across multiple dimensions in composite indicator construction.
A New Methodological Approach to Build a Multidimensional Inequality Composite Indicator
Cinzia Di nuzzo;Tomaselli Venera;Gianpiero Torrisi
2025-01-01
Abstract
This study introduces a methodological framework for creating a MultiDimensional Inequality Gini Composite Indicator (MDIGI) to assess cultural and digitalization disparities among Italian regions. The novel approach involves extending PCA to three-way data using the PARAFAC model to determine indicator weights, thereby enhancing the MDIGI’s capacity to capture inequalities across multiple dimensions in composite indicator construction.File in questo prodotto:
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