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 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 …

. 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 …

- better cushions the poverty effects of income shocks in a developing economy. We compare the effectiveness of the three … benefit schemes on poverty first conceptually and then by considering two different crisis scenarios, the COVID-19 pandemic … the proxy-means-tested benefits are the most effective in reducing the poverty gap index, a simple categorical benefit is …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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