This article is about statistical inference for inequality and poverty measures when income data exhibit …

methods of measuring household welfare (and, accordingly, poverty and inequality) based on expenditures have not considered … aggregates. We use Georgia as a case study to compare these methods and assess impacts on poverty and inequality. The proportion … transportation costs can result in up to a 40% reduction in the measured poverty rate among remote-working households. …

affect poverty assessments and poverty lines. We address the disadvantage that poor households may suffer due to their …, as it seems to have a substantial quantitative impact on the measurement of poverty. We also suggest that future research … poverty and may guide anti-poverty policies …

poverty, welfare and inequality. This includes estimators of most of the poverty indices currently in use, as well as … estimators of the curves used to infer stochastic dominance of any order. These curves can be used to determine whether poverty … sampling distribution of the maximal poverty lines (or income censoring thresholds) up to which we may confidently assert that …

Based on a composite poverty indicator, the analysis of the level and evolution of multidimensional poverty in Togo … between 1988 and 1998 reveals a downward trend using both relative and absolute poverty lines. Over the two periods studied …, non-monetary poverty strongly increased in the rural households and appears to be present on a large scale in the Savanna …