Global Poverty Estimates : A Sensitivity Analysis

Current 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.
Publication date: October 2011
ISBN: 9781463922009
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Economics- Macroeconomics , Economics / General , International - Economics , poverty line , surveys , sensitivity analysis , statistics , household surveys , survey , statistical methods , estimation method , income levels , distributional data , poverty monitoring , distribution of income , functional forms , poverty analysis , stata , statistical method , data

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