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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.

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A New Methodological Approach to Build a Multidimensional Inequality Composite Indicator

  • 会议论文

  • 发表日期：

    2025年

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  • Cinzia Di Nuzzo,
  • Venera Tomaselli,
  • Gianpiero Torrisi

摘要

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.