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Estimating the absolute wealth of households.

Hruschka DJ, Gerkey D, Hadley C - Bull. World Health Organ. (2015)

Bottom Line: We also compared the accuracy of absolute versus relative wealth estimates for the prediction of anthropometric measures.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.Abstract available from the publisher.

View Article: PubMed Central - PubMed

Affiliation: School of Human Evolution and Social Change, Arizona State University, PO Box 872402, Tempe, Arizona, 85287-2402, United States of America (USA).

ABSTRACT

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.

No MeSH data available.


Absolute wealth estimates based on demographic and health surveys, Bangladesh, 1996–2011
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Figure 3: Absolute wealth estimates based on demographic and health surveys, Bangladesh, 1996–2011

Mentions: We analysed wealth data, for 1 989 324 women in 1 403 186 households, collected during 156 surveys in 66 countries. The median absolute wealth estimate was 2056 international dollars per capita (interquartile range: 723–6103). Fig. 2, Fig. 3 and Fig. 4 illustrate the variation seen in absolute wealth estimates across countries in the year 2000 and across time and districts in one country (Bangladesh). Within countries, a uniformly high correlation between the absolute wealth estimates and corresponding relative wealth quintiles was observed (r > 0.85).


Estimating the absolute wealth of households.

Hruschka DJ, Gerkey D, Hadley C - Bull. World Health Organ. (2015)

Absolute wealth estimates based on demographic and health surveys, Bangladesh, 1996–2011
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4490812&req=5

Figure 3: Absolute wealth estimates based on demographic and health surveys, Bangladesh, 1996–2011
Mentions: We analysed wealth data, for 1 989 324 women in 1 403 186 households, collected during 156 surveys in 66 countries. The median absolute wealth estimate was 2056 international dollars per capita (interquartile range: 723–6103). Fig. 2, Fig. 3 and Fig. 4 illustrate the variation seen in absolute wealth estimates across countries in the year 2000 and across time and districts in one country (Bangladesh). Within countries, a uniformly high correlation between the absolute wealth estimates and corresponding relative wealth quintiles was observed (r > 0.85).

Bottom Line: We also compared the accuracy of absolute versus relative wealth estimates for the prediction of anthropometric measures.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.Abstract available from the publisher.

View Article: PubMed Central - PubMed

Affiliation: School of Human Evolution and Social Change, Arizona State University, PO Box 872402, Tempe, Arizona, 85287-2402, United States of America (USA).

ABSTRACT

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.

No MeSH data available.