This paper evaluates the global welfare consequences of increases in mortality and poverty generated by the Covid-19 … with GDP per capita: poverty accounts for a much greater share of the welfare costs in poorer countries. Finally, the … dominance of poverty over mortality is reversed in a counterfactual "herd immunity" scenario: without any policy intervention …

This paper examines the impact of the recent recession in Belarus on poverty and broader measures of household welfare … vulnerability to poverty, based on an estimated probability of falling below the national poverty threshold not exceeding 10 percent …-income households to a much greater extent, and the negative welfare effects lingered. The paper also documents that although the …

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 …

indicates that regular flooding events can move tens of thousands of Sri Lankans into transient poverty at once, hindering the … country's recent progress on poverty eradication and shared prosperity. As metrics of disaster impacts, poverty incidence and …

understanding of households' vulnerability to shock-induced poverty is critical for disaster risk management and the design of … scalable social safety net programs. Standard poverty measures rely on static snapshots that are suitable for quantifying … structural poverty but not for assessing the vulnerability of non-poor households to fall below the poverty line when they …

substantial welfare volatility and are at risk of becoming poor in the face of shocks. We combine the methods of poverty mapping …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 …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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

estimates the impact of the price increase on household welfare and government revenue, using the most recent Household …, 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 … public access to household budget surveys, the availability and timeliness of welfare data in the Middle East and North … of other second-best strategies can be employed. Using imputation methods can help to measure monetary poverty …