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Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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