Global Poverty Estimates: A Sensitivity Analysis
Camelia Minoiu and
No 2011/234, IMF Working Papers from International Monetary Fund
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.
Keywords: WP; poverty estimate; sensitivity analysis; global poverty; household surveys; national accounts; income distribution; international poverty line; consumption poverty; density function; day poverty line; kernel density estimation; nonparametric estimation method; estimate poverty; Personal income; Consumption; Estimation techniques; Global (search for similar items in EconPapers)
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Journal Article: Global Poverty Estimates: A Sensitivity Analysis (2013)
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