scholarly journals The Importance of Reliability and Construct Validity in Multidimensional Poverty Measurement: An Illustration Using the Multidimensional Poverty Index for Latin America (MPI-LA)

2019 ◽  
Vol 56 (9) ◽  
pp. 1763-1783 ◽  
Author(s):  
Héctor E. Nájera Catalán ◽  
David Gordon
Keyword(s):  
Latin America ◽  
Construct Validity ◽  
Multidimensional Poverty ◽  
Poverty Measurement ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
Multidimensional Poverty Measurement

scholarly journals Measuring Vulnerability to Multidimensional Poverty

2019 ◽  
Vol 148 (1) ◽  
pp. 67-103 ◽  
Author(s):  
Mauricio Gallardo
Keyword(s):  
Multidimensional Poverty ◽  
Risk Behaviour ◽  
Poverty Measurement ◽  
Multidimensional Space ◽  
Poverty Index ◽  
Cross Sectional ◽  
Multidimensional Poverty Index ◽  
Wide Range ◽  
Vulnerability Indicators ◽  
Vulnerability To Poverty

Abstract A method to measure vulnerability to multidimensional poverty is proposed under a mean–risk behaviour approach. We extend the unidimensional downside mean–semideviation measurement of vulnerability to poverty towards the multidimensional space by incorporating this approach into Alkire and Foster’s multidimensional counting framework. The new approach is called the vulnerability to multidimensional poverty index (VMPI), alluding to the fact that it can be used to assess vulnerability to poverty measured by the multidimensional poverty index (MPI). The proposed family of vulnerability indicators can be estimated using cross-sectional data and can include both binary and metric welfare indicators. It is flexible enough to be applied for measuring vulnerability in a wide range of MPI designs, including the Global MPI. An empirical application of the VMPI and its related indicators is illustrated using the official MPI of Chile as the reference poverty measurement. The estimates are performed using the National Socioeconomic Characterisation Survey (CASEN) for the year 2017.

scholarly journals Leaving No One Behind: An Individual-Level Approach to Measuring Multidimensional Poverty in Botswana

2021 ◽  
Author(s):  
Khaufelo Raymond Lekobane
Keyword(s):  
Empirical Studies ◽  
Multidimensional Poverty ◽  
Poverty Measurement ◽  
Poverty Measure ◽  
Unit Of Analysis ◽  
Household Level ◽  
Individual Level ◽  
Multidimensional Poverty Index ◽  
Multidimensional Poverty Measurement ◽  
Poverty Levels

AbstractThe Leave No One Behind principle is at the core of the 2030 Agenda for sustainable development and acknowledges that poverty is multidimensional and should be examined at individual level. Notwithstanding this, most empirical studies use the household as the unit of analysis for multidimensional poverty measurement. However, estimation of poverty levels at household-level underestimates poverty levels of the society and does not capture intra-household inequalities. The objective of this study is two-fold: (1) developing a country-specific individual-level multidimensional poverty measure; and (2) providing estimates of multidimensional poverty for Botswana. This study contributes to the limited literature on individual-level multidimensional poverty measurement. Empirically, this study offers the first attempt to estimate a nationally relevant and context-specific multidimensional poverty index for Botswana using the individual as a unit of analysis. The results reveal that an estimated 46.2% of individuals are considered multidimensionally poor based on individual-level analysis. This figure is higher than the household-level estimate of 36.5%, which indicates that using the household as a unit of analysis leads to underestimating poverty levels in the society. The results show that on average, the multidimensionally poor are deprived in 47.4% of all indicators under consideration. This finding indicates that multidimensional poverty intensity is also a considerable concern in Botswana. These findings warrant policy interventions.

scholarly journals A Multidimensional Poverty Index for Latin America

2016 ◽  
Vol 64 (1) ◽  
pp. 52-82 ◽  
Author(s):  
Maria Emma Santos ◽  
Pablo Villatoro
Keyword(s):  
Latin America ◽  
Multidimensional Poverty ◽  
Poverty Index ◽  
Multidimensional Poverty Index

scholarly journals The Importance of Reliability in the Multidimensional Poverty Index for Latin America (MPI-LA)

2019 ◽  
Vol 56 (9) ◽  
pp. 1784-1789 ◽  
Author(s):  
Maria Emma Santos ◽  
Pablo Villatoro
Keyword(s):  
Latin America ◽  
Multidimensional Poverty ◽  
Poverty Index ◽  
Multidimensional Poverty Index

scholarly journals Accounting for drinking water quality in measuring multidimensional poverty in Ethiopia

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243921
Author(s):  
Alemayehu Azeze Ambel ◽  
Harriet Kasidi Mugera ◽  
Robert E. S. Bain
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Rural Areas ◽  
Urban Areas ◽  
Multidimensional Poverty ◽  
Water Source ◽  
Poverty Measurement ◽  
Poverty Index ◽  
Poverty Level ◽  
Multidimensional Poverty Index

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. The accuracy of this tool, however, depends on how each indicator is measured. This study explores the effect of accounting for water quality in multidimensional poverty measurement. Access to drinking water is traditionally measured by water source types. The study uses a more comprehensive measure, access to safely managed drinking water services, which are free from E. coli contamination, available when needed and accessible on premises in line with Sustainable Development Goal target 6.1. The study finds that the new measure increases national multidimensional headcount poverty by 5–13 percentage points, which would mean that 5–13 million more people are multidimensionally poor. It also increases the poverty level in urban areas to a greater extent than in rural areas. The finding is robust to changes in water contamination risk levels and Multidimensional Poverty Index aggregation approaches and weighting structures.

scholarly journals Assessing Refugee Poverty Using Capabilities Versus Commodities: The Case of Afghans in Iran

2018 ◽  
Vol 18 (3) ◽  
pp. 853-873 ◽  
Author(s):  
Mitra Naseh ◽  
Miriam Potocky ◽  
Shanna L. Burke ◽  
Paul H. Stuart
Keyword(s):  
Multidimensional Poverty ◽  
Poverty Line ◽  
Poverty Measurement ◽  
Poverty Index ◽  
Policy Makers ◽  
Multidimensional Poverty Index ◽  
Afghan Refugees ◽  
Poor Households ◽  
Standards Of Living ◽  
Using Data

This study is among the first to calculate poverty among one of the world’s largest refugee populations, Afghans in Iran. More importantly, it is one of the first to use capability and monetary approaches to provide a comprehensive perspective on Afghan refugees’ poverty. We estimated poverty using data collected from a sample of 2,034 refugee households in 2011 in Iran. We utilized basic needs poverty lines and the World Bank’s absolute international poverty line for our monetary poverty analyses and the global Multidimensional Poverty Index (MPI) for our capability analyses of poverty. Findings show that nearly half of the Afghan households were income-poor, approximately two percent of the households had less than USD 1.25 per person per day, and about 28% of the surveyed households were multidimensionally deprived. Results suggest that 60% of the income-poor households were not deprived from minimal education, health, and standards of living based on the MPI criteria, and about 32% of the multidimensionally deprived households were not income-poor. These findings call for more attention to poverty measurement methods, specifically for social workers and policy makers in the field, to gain a more realistic understanding about refugees’ wellbeing.

scholarly journals Relationship analysis between the spread of COVID-19 and the multidimensional poverty index in the city of Manizales, Colombia

2021 ◽  
Author(s):  
Vladimir Henao-Cespedes ◽  
Yeison Alberto Garcés Gómez ◽  
Silvia Ruggeri ◽  
Tatiana María Henao-Cespedes
Keyword(s):  
Multidimensional Poverty ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
Relationship Analysis ◽  
The City
Sign in / Sign up

Export Citation Format

Share Document