The spatial granularity of poverty statistics can have a significant impact on the efficiency of targeting resources … granular poverty maps. This study outlines a computational framework to enhance the spatial granularity of government …-published poverty estimates using a deep layer computer vision technique applied on publicly available medium-resolution satellite …

; 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 …

included, inconsistencies between different data sources could interfere with comparable poverty estimates. We test the … performance of a recently developed cross-survey imputation method to estimate poverty for a sample of refugees in Colombia … that we can reasonably impute poverty rates using an older household income survey and a more recent ProGres dataset for …

demonstrating that survey-to-survey imputation can fill consumption data gaps and provide low-cost and reliable poverty estimates …; the choice of base surveys for estimating the imputation model; different poverty lines; and alternative (quarterly or …

demonstrating that survey-to-survey imputation can fill consumption data gaps and provide low-cost and reliable poverty estimates …; the choice of base surveys for estimating the imputation model; different poverty lines; and alternative (quarterly or …

Poverty measurement among forcibly displaced populations, including refugees and internally displaced persons, has been … reviews the evolution, current status, and future prospects of the poverty measurement literature on forcibly displaced … humanitarian and development organizations are currently undertaking to close this historical gap in poverty measurement. …

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Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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

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 …