P α Poverty Measure: An Estimable Approach

1996 ◽  
Vol 38 (3) ◽  
pp. 233
Author(s):  
M. H. Suryanarayana ◽  
S. Geetha
Keyword(s):  
Poverty Measure

scholarly journals Poverty among Foster Children: Estimates Using the Supplemental Poverty Measure

2017 ◽  
Vol 91 (1) ◽  
pp. 8-40 ◽  
Author(s):  
Jessica Pac ◽  
Jane Waldfogel ◽  
Christopher Wimer
Keyword(s):  
Foster Children ◽  
Poverty Measure

March 2021 Update to the Multidimensional Poverty Measure

10.1596/35390 ◽  
2021 ◽  
Author(s):  
Minh Cong Nguyen ◽  
Haoyu Wu ◽  
Christoph Lakner ◽  
Marta Schoch
Keyword(s):  
Multidimensional Poverty ◽  
Poverty Measure

scholarly journals Building an integrated poverty measure by three poverty profiles

POPULATION ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 92-105
Author(s):  
Vladislav Zharomsky
Keyword(s):  
Structural Analysis ◽  
Poverty Line ◽  
Negative Answer ◽  
Subjective Perception ◽  
Absolute Poverty ◽  
Poverty Measure ◽  
Number Of Children ◽  
Parents And Children ◽  
Subsistence Minimum ◽  
Statistical Survey

On the basis of estimating three poverty profiles calculated on sample surveys data, the article presents the methods for obtaining an integrated poverty measure, which solves the model of latent structural analysis with binary classes. In such surveys as Parents and Children, Men and Women in Family, HSE Russian Longitudinal Monitoring Survey, Russian Household Budget Survey, there are questions characterizing different profiles of poverty — economic, deprivation and subjective. The last-mentioned profile presents a subjective perception of one’s position on the scale of living standards. Estimates by the three profiles measure different sides of poverty, but it is not clear how they are harmonized, and whether latent poverty is statistically reflected in them. The model of the latent structural analysis may give a positive or negative answer to this question. In case of the positive answer it is proposed to take the probability of latent poverty as an integrated poverty measure. The article provides the results of calculations for three groups of households: those of pensioners, of able-bodied persons, and mixed households consisting of pensioners and the able-bodied. On the data from the largest Rosstat survey — Statistical Survey of Income and Participation in Social Programs (VNDN) were made estimates of latent poverty for urban and rural population of Russia, for households with different number of children. It shows that latent poverty and coherence of different population groups are not contrary to the meaningful views on the phenomenon. It is found out that the understated size of the subsistence minimum (absolute poverty line) leads to lack of coherence between three estimates for households of pensioners. In this case, feeling of poverty and deprivation levels are not in line with the economic estimation of poverty.

Capacity for Freedom - Using a New Poverty Measure to Look at Regional Differences in Living Standards within Australia

2012 ◽  
Vol 50 (4) ◽  
pp. 411-420 ◽  
Author(s):  
EMILY J. CALLANDER ◽  
DEBORAH J. SCHOFIELD ◽  
RUPENDRA N. SHRESTHA
Keyword(s):  
Regional Differences ◽  
Living Standards ◽  
Poverty Measure

scholarly journals Poverty Measure Based on Hesitant Fuzzy Decision Algorithm under Social Network Media

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 384 ◽  
Author(s):  
Suwei Gao ◽  
Kaiyang Sun
Keyword(s):  
Fuzzy Set ◽  
Rural Areas ◽  
Poverty Line ◽  
Poverty Level ◽  
Nutrition Survey ◽  
Decision Algorithm ◽  
Poverty Measure ◽  
Line Method ◽  
Health And Nutrition ◽  
Fuzzy Function

This study aims to solve the problem that the traditional method of measuring the poverty level in rural and urban areas of China from a purely monetary perspective can’t comprehensively analyze and reflect the poverty. In this study, a multidimensional poverty measurement model with non-monetary indicators is proposed, the data of families and their members provided by the China Health and Nutrition Survey (CHNS) of a certain year’s health and nutrition survey in China are used for analysis, and a fuzzy set method is adopted to analyze the poverty situation in various regions of China. First, the fuzzy function set method is used to calculate the one-dimensional poverty index. On the basis of income, the multi-dimensional poverty fuzzy index is calculated from five dimensions, including education, health, assets, and living standard. The calculation results of the single-dimensional poverty and the multi-dimensional poverty are compared to further analyze the reasons of the family poverty of rural residents. Second, the poverty rate of each dimension in each region is calculated by referring to the appropriate measurement indexes of each dimension of the message passing interface (MPI) team. The results show that the concept of measuring poverty by the fuzzy set method is more sensitive to the overall distribution of population in the poverty dimension than the poverty line method. Compared with the poverty line method, the fuzzy set method can better consider the overall distribution of population in poverty dimension. Accordingly, China should strengthen the infrastructure construction in rural areas, increase the investment in education in rural areas, and improve the overall quality of the poor population.

scholarly journals Assessing poverty persistence in households with children

2020 ◽  
Vol 18 (4) ◽  
pp. 551-569
Author(s):  
Enrico Fabrizi ◽  
Chiara Mussida
Keyword(s):  
Initial Conditions ◽  
State Dependence ◽  
Single Measure ◽  
Poverty Measure ◽  
Household Level ◽  
Household Characteristics ◽  
Strong State ◽  
Poverty Persistence ◽  
Alternative Measures ◽  
Households With Children

Abstract The analysis of poverty persistence received considerable attention in recent years. In this paper we explore the role of the adopted poverty measure in the analysis of its persistence. Specifically, we consider three measures: the risk of poverty, the severe material deprivation and subjective poverty, motivated by the understanding of poverty as a complex phenomenon and for which no single measure can effectively capture its several dimensions. The empirical analysis is based on the 2013-2016 longitudinal sample of the EU-SILC survey. We focus on Italian households with dependent children. We apply a correlated random effects probit models with endogenous initial conditions to assess genuine state dependence after controlling for structural household characteristics and variables related to participation in the labour market. A strong state dependence emerges, regardless of the considered poverty measure thus providing evidence of poverty and social exclusion persistence. We also find evidence of relevance of initial conditions for all measures in focus. Nonetheless, structural household characteristics and household level economic variables play roles that are often different in the three parallel models; these differences are consistent with the aims and nature of the alternative measures.

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