Country rankings according to well-being evolution: composite indicators from a functional data analysis perspective
Francesca Fortuna (),
Alessia Naccarato () and
Silvia Terzi ()
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Francesca Fortuna: Roma Tre University
Alessia Naccarato: Roma Tre University
Silvia Terzi: Roma Tre University
Annals of Operations Research, 2024, vol. 342, issue 3, No 8, 1529-1546
Abstract:
Abstract The paper suggests the use of the functional data analysis approach to study the evolution of well being indicators, visualizing their behaviour over time. Thus, an evolutionary well-being indicator is proposed by complement the original data with information concerning the first derivative. The second task is to provide an overall ranking of the countries over time using two functional tools: the area under the curve and functional depth, which return two distinct rankings. A simulation study is conducted to evaluate the effectiveness of the area in distinguishing groups of countries with different levels of well-being. The proposed method is employed on a real dataset concerning the human development index of European countries.
Keywords: Area under the curve; Functional depth; Functional derivatives; Overall Ranking; Well-being indicators (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10479-022-05072-w
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