Adding a basis for sustainable poverty monitoring: The indicator systems and multi-source data of multi-dimensional poverty measurement

X Cheng, Y Liu, Z Yu, J Gao, Y Dai, J Chen… - Environmental …, 2024 - Elsevier
Poverty is a pressing social and economic issue that demands attention. Reducing and
eliminating poverty are shared objectives globally. Current studies often rely on existing …

Stochastic representation of FGM copulas using multivariate Bernoulli random variables

C Blier-Wong, H Cossette, E Marceau - Computational Statistics & Data …, 2022 - Elsevier
A one-to-one correspondence between Fréchet's class of multivariate Bernoulli distribution
with symmetric marginals and the well-known family of Farlie-Gumbel-Morgenstern (FGM) …

[HTML][HTML] Nonparametric estimation of the multivariate Spearman's footrule: A further discussion

A Pérez, M Prieto-Alaiz, F Chamizo, E Liebscher… - Fuzzy Sets and …, 2023 - Elsevier
In this paper, we propose two new estimators of the multivariate rank correlation coefficient
Spearman's footrule which are based on two general estimators for Average Orthant …

Exploration of poverty and social exclusion of Slovak population via contrast analysis associated with logit models

E Šoltés, S Komara, T Šoltésová - Quality & Quantity, 2023 - Springer
The aim of the paper is to assess the impact of socio-economic and socio-demographic
factors on the risk of poverty or social exclusion. The paper focuses on the analysis of the …

A bivariate relative poverty line for leisure time and income poverty: Detecting intersectional differences using distributional copulas

F Dorn, R Radice, G Marra… - Review of Income and …, 2024 - Wiley Online Library
Empirical research on poverty today often goes beyond a focus on income to consider other
dimensions of well‐being. However, relatively few multidimensional poverty measures …

Connectivity analysis for multivariate time series: Correlation vs. causality

A Papana - Entropy, 2021 - mdpi.com
The study of the interdependence relationships of the variables of an examined system is of
great importance and remains a challenging task. There are two distinct cases of …

Measuring cumulative deprivation and affluence based on the diagonal dependence diagram

K Decancq - Metron, 2020 - Springer
In this paper, I introduce the diagonal dependence diagram to chart dependence around the
main diagonal of a multivariate distribution. This diagonal dependence diagram is a useful …

Estimating lower tail dependence between pairs of poverty dimensions in Europe

A D'agostino, G De Luca… - Review of Income and …, 2023 - Wiley Online Library
This article provides an innovative method for measuring the dependence between pairs of
poverty dimensions using a semiparametric copula approach that permits us to account for …

Inequality in multidimensional well‐being in the United States

S Dhongde, PK Pattanaik, Y Xu - Review of Income and Wealth, 2024 - Wiley Online Library
In this paper we provide a framework to measure an individual's multidimensional well‐
being and discuss two approaches to measuring inequality in multidimensional well‐being …

The risk of clustering of deprivations in Spain: a tale of two crises

C García-Gómez, A Pérez… - Applied Economic Analysis, 2024 - emerald.com
Purpose The At Risk of Poverty or Social Exclusion (AROPE) rate is a key indicator for
monitoring poverty in Europe. However, it is not sensitive to the degree to which individuals …