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 …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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

Thousands of scenarios are used to provide updated estimates for the impacts of climate change on extreme poverty in … 2030. The range of the number of people falling into poverty due to climate change is between 32 million and 132 million in … most scenarios. These results are commensurate with available estimates for the global poverty increase due to COVID-19 …

, poverty is estimated to increase by about 2.9 percentage points, with the direct impact accounting for a third of this … the poorest bottom 50 percent of the population and reduce poverty to below pre-reform levels. The annual cost of the …

North Africa region used to measure monetary poverty and evaluates ways to fill these information gaps. Despite improving … of other second-best strategies can be employed. Using imputation methods can help to measure monetary poverty …. Constructing non-monetary poverty and asset indexes from less robust surveys, using non-traditional surveys such as phone surveys …