4.5 Article

Estimating the absolute wealth of households

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BULLETIN OF THE WORLD HEALTH ORGANIZATION
卷 93, 期 7, 页码 483-490

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WORLD HEALTH ORGANIZATION
DOI: 10.2471/BLT.14.147082

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资金

  1. United States National Science Foundation - Programs in Cultural Anthropology, Social Psychology Program and Decision, Risk, and Management Sciences [BCS-1150813]
  2. United States National Science Foundation [DBI-1052875]
  3. Direct For Social, Behav & Economic Scie
  4. Division Of Behavioral and Cognitive Sci [1150813] Funding Source: National Science Foundation
  5. Div Of Biological Infrastructure
  6. Direct For Biological Sciences [1052875, 1639145] Funding Source: National Science Foundation

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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 opportuhities 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.

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