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In recent years, addressing Educational Poverty (EP) has emerged as a pressing issue on the political agendas of several countries, recognized as a new social challenge requiring urgent attention. To assess EP in Italy, the Italian National Statistical Institute introduced a multidimensional composite index known as the EPI. Considering the same dimensions of this index and the relationships among them, we employ a quantile approach to have a comprehensive understanding of the relationships among the variables. Our results suggest that the EPI dimensions play a different role at different points of the index distribution.

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Estimating Multidimensional Educational Poverty in Italy Using a Quantile Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Caterina Giusti,
  • Francesco Schirripa Spagnolo

摘要

In recent years, addressing Educational Poverty (EP) has emerged as a pressing issue on the political agendas of several countries, recognized as a new social challenge requiring urgent attention. To assess EP in Italy, the Italian National Statistical Institute introduced a multidimensional composite index known as the EPI. Considering the same dimensions of this index and the relationships among them, we employ a quantile approach to have a comprehensive understanding of the relationships among the variables. Our results suggest that the EPI dimensions play a different role at different points of the index distribution.