Many poverty, safety net, training, and other social programs utilize multiple screening criteria to determine … eligibility. We apply recent advances in multidimensional measurement analysis to develop a straightforward method for summarizing … multidimensional poverty measures (and their components) that address key participant deficits. We apply our methods to a BRAC ultra-poverty …

analyses of low-income populations. We focus on the Current Population Survey (CPS), the source of official poverty and … understates the effects of anti-poverty programs and changes our understanding of program targeting, often making it seem that … data rather than survey data alone, the poverty reducing effect of all programs together is nearly doubled while the effect …

Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare …. This paper tests the performance of a recently developed cross-survey imputation method to estimate poverty for a sample of … proposed method offers poverty estimates based on administrative data that are mostly statistically insignificantly different …

; how progress on EU poverty reduction has been disappointing and why this has been; conceptual and measurement issues; and …I address four topics: how our capacities to monitor poverty in Europe have improved substantially over recent decades … the future direction of EU-level anti-poverty actions. I follow in the footsteps of a giant - my perspectives are …

Ghana has managed to consistently keep its poverty rate lower than the regional average over the past 25 years, but … this positive trend slowed down recently. We investigate the dynamics of overall, moderate, and extreme poverty in Ghana …-sectional data. While we find considerable conditional chronic (extreme) poverty rates hovering around 50-60 percent, there is more …

This paper examines the impact of severe wildfire events on Bolivia's poverty and labor market outcomes. We use a panel … Interactive Fixed Effects Counterfactual Estimator, we estimate the causal effects of severe wildfire events on poverty, household … per-capita income, and the agricultural sector. We find a significant short-term increase in poverty explained by a …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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

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 …

the international poverty line. In order to preserve the integrity of the goalposts for international targets such as the … Sustainable Development Goals and the World Bank's twin goals, the new poverty line was chosen so as to preserve the definition … designed to preserve real purchasing power in poor countries, the revisions lead to relatively small changes in global poverty …

, whether poverty experiences can be detrimental to these traits later on. The former relation is intuitive as control related … traits underlay many idiosyncratic determinants of poverty. Though traits like control-perception are known to stabilize … environmental influences like poverty. Such deterioration of control-perception would lead to poor people being literally "trapped …