A key question in the design of anti-poverty programs is to what extent they should be targeted. Empirical evaluations … based on an imperfect poverty classifier based on proxy means tests results in very distinct 'optimal' beneficiary shares … when these measures are used as a decision criterion. Implications from poverty simulations are sensitive to assumptions …

With rural extreme poverty officially eradicated in 2020, China is to move to measuring relative poverty in urban and … rural areas. Relative poverty describes circumstances in which people cannot afford actively to participate in society and … percent of national median disposable income. While a single poverty threshold symbolises national unity, separate poverty …

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 …

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Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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