Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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

. 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 …

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 …