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Estimating the absolute wealth of households
OBJECTIVE: To estimate the absolute wealth of households using data from demographic and health surveys. METHODS: We developed a new metric, the absolute wealth estimate, based on the rank of each surveyed household according to its material assets and the assumed shape of the distribution of wealth...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
World Health Organization
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4490812/ https://www.ncbi.nlm.nih.gov/pubmed/26170506 http://dx.doi.org/10.2471/BLT.14.147082 |
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author | Hruschka, Daniel J Gerkey, Drew Hadley, Craig |
author_facet | Hruschka, Daniel J Gerkey, Drew Hadley, Craig |
author_sort | Hruschka, Daniel J |
collection | PubMed |
description | OBJECTIVE: To estimate the absolute wealth of households using data from demographic and health surveys. METHODS: We developed a new metric, the absolute wealth estimate, based on the rank of each surveyed household according to its material assets and the assumed shape of the distribution of wealth among surveyed households. Using data from 156 demographic and health surveys in 66 countries, we calculated absolute wealth estimates for households. We validated the method by comparing the proportion of households defined as poor using our estimates with published World Bank poverty headcounts. We also compared the accuracy of absolute versus relative wealth estimates for the prediction of anthropometric measures. FINDINGS: The median absolute wealth estimates of 1 403 186 households were 2056 international dollars per capita (interquartile range: 723–6103). The proportion of poor households based on absolute wealth estimates were strongly correlated with World Bank estimates of populations living on less than 2.00 United States dollars per capita per day (R(2) = 0.84). Absolute wealth estimates were better predictors of anthropometric measures than relative wealth indexes. CONCLUSION: Absolute wealth estimates provide new opportunities for comparative research to assess the effects of economic resources on health and human capital, as well as the long-term health consequences of economic change and inequality. |
format | Online Article Text |
id | pubmed-4490812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | World Health Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-44908122015-07-13 Estimating the absolute wealth of households Hruschka, Daniel J Gerkey, Drew Hadley, Craig Bull World Health Organ Research OBJECTIVE: To estimate the absolute wealth of households using data from demographic and health surveys. METHODS: We developed a new metric, the absolute wealth estimate, based on the rank of each surveyed household according to its material assets and the assumed shape of the distribution of wealth among surveyed households. Using data from 156 demographic and health surveys in 66 countries, we calculated absolute wealth estimates for households. We validated the method by comparing the proportion of households defined as poor using our estimates with published World Bank poverty headcounts. We also compared the accuracy of absolute versus relative wealth estimates for the prediction of anthropometric measures. FINDINGS: The median absolute wealth estimates of 1 403 186 households were 2056 international dollars per capita (interquartile range: 723–6103). The proportion of poor households based on absolute wealth estimates were strongly correlated with World Bank estimates of populations living on less than 2.00 United States dollars per capita per day (R(2) = 0.84). Absolute wealth estimates were better predictors of anthropometric measures than relative wealth indexes. CONCLUSION: Absolute wealth estimates provide new opportunities for comparative research to assess the effects of economic resources on health and human capital, as well as the long-term health consequences of economic change and inequality. World Health Organization 2015-07-01 2015-05-15 /pmc/articles/PMC4490812/ /pubmed/26170506 http://dx.doi.org/10.2471/BLT.14.147082 Text en (c) 2015 The authors; licensee World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL. |
spellingShingle | Research Hruschka, Daniel J Gerkey, Drew Hadley, Craig Estimating the absolute wealth of households |
title | Estimating the absolute wealth of households |
title_full | Estimating the absolute wealth of households |
title_fullStr | Estimating the absolute wealth of households |
title_full_unstemmed | Estimating the absolute wealth of households |
title_short | Estimating the absolute wealth of households |
title_sort | estimating the absolute wealth of households |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4490812/ https://www.ncbi.nlm.nih.gov/pubmed/26170506 http://dx.doi.org/10.2471/BLT.14.147082 |
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