Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is associated with a lower probability of predicting some poverty indicators, and that a better imputation …

Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare …. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad … poverty estimates based on administrative data that fall within a 95 percent margin of poverty estimates based on survey …

attendance on women's labor market outcomes, including their total annual wages, household income, and poverty status. The …

Hardly any literature exists on the relationship between equivalence scales and poverty dynamics for transitional … countries. This paper offers a new study on the impacts of equivalence scale adjustments on poverty dynamics in the Russian … household demographic composition. The adjustments for the equivalence of scales result in lower estimates of poverty lines. The …

, accompanied by accelerating poverty decline. Underlying these trends is a process of mobility, with 40-60 percent of the … poverty remain vulnerable. Most of those who are poor were also poor in the preceding period and, thus, are likely to be …

measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of … income, consumption, or expenditure. This paper offers a first attempt to measure poverty among refugees using cross … system, the proposed methodology offers out-of-sample predicted poverty rates. These estimates are not statistically …