Global Poverty Estimates: A Sensitivity Analysis
AbstractCurrent estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across different estimation methods. The decline in poverty over the past decade is found to be robust across methodological choices.
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Bibliographic InfoPaper provided by International Monetary Fund in its series IMF Working Papers with number 11/234.
Date of creation: 01 Oct 2011
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