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 …

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 a broad 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 …

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 …

. 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 …

. 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 …

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 …

-to-date picture of inequality and poverty by subgroup in South Korea which helps targeting particularly vulnerable groups. Overall …