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. …

We examine vulnerability to poverty in Tajikistan during the global financial crisis, focusing on the roles played by … to estimate a Markov transition probability matrix with the aim of identifying the vulnerability of households to poverty …. Importantly, by introducing the index of vulnerability as the weighted probability of a household falling into poverty over a …

out of poverty have been recorded in a wide array of literature, the employment outcome of participating in a microcredit … program as a pathway to poverty reduction has been studied much less. Using two waves of longitudinal data on over 2000 … participants and raised the potential for income growth that contributed to poverty reduction. …

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 …

There is an increasingly stronger demand for more frequent and accurate poverty estimates, despite the oftentimes … poverty estimates in such contexts. These range from estimates on a nonmonetary basis, estimates for specific project … targeting or tracking trends at the national level, to estimates at a more disaggregated level, as well as estimates of poverty …

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 …

. Survey-to-survey imputation has been increasingly employed to address these data gaps for poverty measurement, but its … effective use requires standardized protocols. We refine existing poverty imputation models using 14 multi-topic household … estimates, which even fall within one standard error of the true poverty rates in many cases. Further adding geospatial …

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 …, 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 …

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 …