poverty. It shows the prevalence of non-positive incomes in high- and middle-income countries, provides an analysis of the … standard poverty indexes. It is argued that negative and zero incomes cannot be treated equally in terms of household well …-being and that standard methods used by practitioners fail to recognize this fact likely resulting in overestimations of poverty. …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … surveys conducted over the past decade in Bangladesh, Ethiopia, Malawi, Nigeria, Tanzania, and Vietnam, we find encouraging …

Poverty measurement among forcibly displaced populations, including refugees and internally displaced persons, has been …, for long, neglected by the economics profession and by poverty specialists working across the social sciences. This has … reviews the evolution, current status, and future prospects of the poverty measurement literature on forcibly displaced …

OLS models are the predominant choice for poverty predictions in a variety of contexts such as proxy-means tests …, poverty mapping or cross-survey imputations. This paper compares the performance of econometric and machine learning models in … predicting poverty using alternative objective functions and stochastic dominance analysis based on coverage curves. It finds …

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 …

Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare …. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad … poverty estimates based on administrative data that fall within a 95 percent margin of poverty estimates based on survey …

Hardly any literature exists on the relationship between equivalence scales and poverty dynamics for transitional … countries. We offer a new study on the impacts of equivalence scale adjustments on poverty dynamics in the Russian Federation … demographic composition. The adjustments for the equivalence of scales result in lower estimates of poverty lines. We decompose …

the prevalence of negative and zero incomes, and their implications for inequality and poverty measurement relying on 57 … and zero incomes and assesses the distributional impacts of alternative correction methods on poverty and inequality … materially deprived. Adjusting poverty and inequality measures for these findings can alter these measures significantly. …

We offer a review of methods that have been employed to provide poverty estimates of poverty in contexts where … trends and dynamic patterns of poverty outcomes over time. We present the various existing methods under a common framework … data from Vietnam. Furthermore, we also offer a practical guide with detailed instructions on computer programs that can be …

Measuring poverty trends and dynamics is an important undertaking for poverty reduction policies, which is further … highlighted by the SDG goal 1 on eradicating poverty by 2030. We provide abroad overview of the pros and cons of poverty … review two common uses of poverty imputation methods that aim at tracking poverty over time and estimating poverty dynamics …