Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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 …

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 …

limited analysis can be conducted on the implications for poverty, the study finds that the profiles of the poorest households …

suggests it is context and method specific. Although changes in poverty and inequality are always statistically significant …

The goals of ending extreme poverty by 2030 and working toward a more equal distribution of income are prominent in … countries comprising 97 percent of the world's population, this paper simulates a set of scenarios for global poverty from 2018 … poverty and inequality goals. The paper uses different assumptions about growth incidence curves to model changes in …

Poverty maps are a useful tool for the targeting of social programs on areas with high concentrations of poverty …. However, a static focus on poverty ignores the temporal dimension of poverty. Thus, current nonpoor households still face … substantial welfare volatility and are at risk of becoming poor in the face of shocks. We combine the methods of poverty mapping …

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 …

The challenges associated with poverty measurement with a cardinal variable have received due attention during the last … four decades, but there is a dearth of literature studying how to meaningfully assess poverty with an ordinal variable …. This paper first proposes a class of simple, intuitive and policy-relevant poverty measures for ordinal variables. These …