Within the international debate on finding measures beyond GDP, the Human Development Index released by the United Nations Development Programme, has become a reference over the years. In order to get a synthetic view of human development, different aggregative procedures has been applied over time. The aggregative road to synthesis is however problematic, because it raises a number of conceptual and methodological issues. As a valuable alternative, in this paper we adopt a non-aggregative approach to synthesis over time, based on Partially Ordered Set Theory.
An application of temporal poset on human development index data / Alaimo, LEONARDO SALVATORE; Maggino, Filomena; Seri, Emiliano. - (2021), pp. 211-216. (Intervento presentato al convegno SIS 2021 tenutosi a Pisa).
An application of temporal poset on human development index data
Leonardo Alaimo
;Filomena Maggino;Emiliano Seri
2021
Abstract
Within the international debate on finding measures beyond GDP, the Human Development Index released by the United Nations Development Programme, has become a reference over the years. In order to get a synthetic view of human development, different aggregative procedures has been applied over time. The aggregative road to synthesis is however problematic, because it raises a number of conceptual and methodological issues. As a valuable alternative, in this paper we adopt a non-aggregative approach to synthesis over time, based on Partially Ordered Set Theory.| File | Dimensione | Formato | |
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