Results 11 to 20 of about 10,989 (259)
Moderate Multidimensional Poverty Index: Paving the Way Out of Poverty. [PDF]
Soc Indic Res, 2023 AbstractEradicating poverty in all its forms, everywhere, requires indicators that measure sustainable pathways out of poverty, and not only the absence of acute poverty. This paper introduces a trial Moderate Multidimensional Poverty Index (MMPI) that reflects moderate rather than acute levels of multidimensional poverty.
Alkire S +3 more
europepmc +6 more sources
Dataset for Multidimensional Poverty Index in Cali-Colombia. [PDF]
Data BriefThis article presents data collected through in-person surveys conducted in the city of Santiago de Cali, Colombia, to characterize the population registered in the city's Social Program Beneficiary Identification System (SISBÉN, by its Spanish acronym). The sample includes 1605 observations, representing individuals between 18 and 87 years of age. The
Mora Rodriguez JJ +2 more
europepmc +4 more sources
On Track or Not? Projecting the Global Multidimensional Poverty Index
SSRN Electronic Journal, 2022 In this paper we compute projections of global multidimensional poverty. We use recently published estimates of changes over time in multidimensional poverty for 75 countries, which are based on time-consistent indicators. We consider and evaluate different approaches to model the trajectories of countries' achieved and future poverty reduction.
Alkire, S +3 more
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DECOMPOSING MULTIDIMENSIONAL POVERTY INDEX IN AGRICULTURAL HOUSEHOLDS OF SOUTH KALIMANTAN, INDONESIA [PDF]
Russian Journal of Agricultural and Socio-Economic Sciences, 2022 Poverty is a complex and multidimensional problem, so an approach is needed to complement the unidimensional monetary measurement currently used, especially in agricultural households which have always been associated with poverty.
Suhartarti A.D., Ikhsan S., Azis Y.
doaj
Redai dili, 2023 Children are the hope of the future, but they are also the most vulnerable to poverty. Gender differences in children have been a major concern in society, and research on gender differences in multidimensional child poverty and their causes has ...
Hai Shaoqi, Wang Xia, Shi Shuyue
doaj +1 more source
Comparative Study of Poverty in Indonesia: Multidimensional Poverty And Monetary Poverty
JIET (Jurnal Ilmu Ekonomi Terapan), 2016 Research on poverty has long been done by various methods and approaches. Approach to identifying the poor in general by calculating consumption expenditure or income revenue. The calculation is then known as monetary poverty.
Tegar Rismanuar Nuryitmawan
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Social Sciences, 2023 This paper presents a methodology to estimate the multidimensional poverty index using spatial data at the street block level. The data used in this study were obtained from Open Street Maps and ESA’s land use cover, which are freely available sources of
Guberney Muñetón-Santa +1 more
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Accounting for drinking water quality in measuring multidimensional poverty in Ethiopia.
PLoS ONE, 2020 The Multidimensional Poverty Index is used increasingly to measure poverty in developing countries. The index is constructed using selected indicators that cover health, education, and living standards dimensions.
Alemayehu Azeze Ambel +2 more
doaj +1 more source
Towards a multidimensional poverty index for Germany [PDF]
Empirica, 2015 This paper compiles a multidimensional poverty index for Germany. Drawing on the capability approach as conceptual framework, I apply the Alkire-Foster method using German panel data. I suggest new operationalizations for two dimensions: social participation and practical reason, the latter drawing on recent findings in experimental economics.
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A Multidimensional Poverty Index for Latin America [PDF]
Review of Income and Wealth, 2016 This paper proposes a new Multidimensional Poverty Index for Latin America. The index combines monetary and non‐monetary indicators, updates deprivation cut‐offs for certain traditional unsatisfied basic needs indicators and includes some new indicators, aiming to maximize regional comparability within the data constraints.
Santos, Maria Emma, Villatoro, Pablo
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