bibtype J - Journal Article
ARLID 0642182
utime 20251212092030.1
mtime 20251126235959.9
SCOPUS 105004722433
WOS 001484483800001
DOI 10.1080/07350015.2025.2475964
title (primary) (eng) Multiple-Attribute Lorenz Functions and Gini Indices: A Measure Transportation Approach
specification
page_count 13 s.
media_type P
serial
ARLID cav_un_epca*0251138
ISSN 0735-0015
title Journal of Business & Economic Statistics
volume_id 43
volume 4 (2025)
page_num 1092-1104
keyword Concentration indices
keyword Inequality measurement
keyword Middle class
keyword Optimal transport
keyword Measure transportation
keyword Multivariate quantiles
author (primary)
ARLID cav_un_auth*0478146
name1 Hallin
name2 Marc
institution UTIA-B
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
country BE
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0497844
name1 Mordant
name2 G.
country DE
source
url https://library.utia.cas.cz/separaty/2025/SI/hallin-0642182.pdf
cas_special
project
project_id GA22-03636S
agency GA ČR
country CZ
ARLID cav_un_auth*0435411
abstract (eng) Based on measure transportation ideas and the related concepts of quantile functions and regions, we propose multiple-output generalizations of the traditional univariate concepts of Lorenz and concentration functions, and the related Gini and Kakwani coefficients. These new concepts have a natural interpretation, either in terms of contributions of quantile regions to the expectation of some variable of interest, or in terms of the physical notions of work and energy, which sheds new light on the nature of economic and social inequalities. When based on center-outward quantile regions, the proposed concepts pave the way to a statistically sound definition, based on multiple attributes, of the notion, so far limited to bivariate characterizations, of middle-class—a notion of practical importance in various socio-economic and political contexts.
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permalink https://hdl.handle.net/11104/0372933
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mrcbU63 cav_un_epca*0251138 Journal of Business & Economic Statistics 43 4 2025 1092 1104 0735-0015 1537-2707