f-Gintropy: An Entropic Distance Ranking Based on the Gini Index

Autor: Tamás Sándor Biró, András Telcs, Máté Józsa, Zoltán Néda
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Entropy, Vol 24, Iss 3, p 407 (2022)
Druh dokumentu: article
ISSN: 1099-4300
DOI: 10.3390/e24030407
Popis: We consider an entropic distance analog quantity based on the density of the Gini index in the Lorenz map, i.e., gintropy. Such a quantity might be used for pairwise mapping and ranking between various countries and regions based on income and wealth inequality. Its generalization to f-gintropy, using a function of the income or wealth value, distinguishes between regional inequalities more sensitively than the original construction.
Databáze: Directory of Open Access Journals
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