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On Fourier-Based Inequality Indices

Inequality indices are quantitative scores that take values in the unit interval, with a zero score denoting complete equality. They were originally created to measure the heterogeneity of wealth metrics. In this study, we focus on a new inequality index based on the Fourier transform that demonstra...

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Autor principal: Toscani, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601533/
https://www.ncbi.nlm.nih.gov/pubmed/37420413
http://dx.doi.org/10.3390/e24101393
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author Toscani, Giuseppe
author_facet Toscani, Giuseppe
author_sort Toscani, Giuseppe
collection PubMed
description Inequality indices are quantitative scores that take values in the unit interval, with a zero score denoting complete equality. They were originally created to measure the heterogeneity of wealth metrics. In this study, we focus on a new inequality index based on the Fourier transform that demonstrates a number of intriguing characteristics and shows great potential for applications. By extension, it is demonstrated that other inequality measures, such as the Gini and Pietra indices, can be usefully stated in terms of the Fourier transform, allowing us to illuminate characteristics in a novel and straightforward manner.
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spelling pubmed-96015332022-10-27 On Fourier-Based Inequality Indices Toscani, Giuseppe Entropy (Basel) Article Inequality indices are quantitative scores that take values in the unit interval, with a zero score denoting complete equality. They were originally created to measure the heterogeneity of wealth metrics. In this study, we focus on a new inequality index based on the Fourier transform that demonstrates a number of intriguing characteristics and shows great potential for applications. By extension, it is demonstrated that other inequality measures, such as the Gini and Pietra indices, can be usefully stated in terms of the Fourier transform, allowing us to illuminate characteristics in a novel and straightforward manner. MDPI 2022-09-29 /pmc/articles/PMC9601533/ /pubmed/37420413 http://dx.doi.org/10.3390/e24101393 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Toscani, Giuseppe
On Fourier-Based Inequality Indices
title On Fourier-Based Inequality Indices
title_full On Fourier-Based Inequality Indices
title_fullStr On Fourier-Based Inequality Indices
title_full_unstemmed On Fourier-Based Inequality Indices
title_short On Fourier-Based Inequality Indices
title_sort on fourier-based inequality indices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601533/
https://www.ncbi.nlm.nih.gov/pubmed/37420413
http://dx.doi.org/10.3390/e24101393
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