This paper investigates the effect of firm-level investment on the levels of income inequality and poverty. Using a …-level investment is also negatively related to several measures of poverty. Overall, our results indicate that firm-level capital … reducing inequality and poverty. Our results may also be beneficial to policy makers as they consider a variety of regulatory …

. 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 …

migration and multidimensional poverty by applying inverse probability weighted regression adjustment (IPWRA). We find that …

. 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 …

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imputation …Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or …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imputation …Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or …

Poverty – differently defined and measured – still remains one the crucial parts of the world development debate. It … an specific approach to poverty issues, treating low incomes as consequence – not a cause – of poverty. The main target … of the work is twofold. Firstly we aim to develop a new complex measure of relative poverty to set the most recent …

consumption poverty and non-monetary poverty outcomes over this period, showing improvements in almost all indicators over this …-monetary outcomes, remains an important concern. This increase in inequality is one reason why growth has not led to faster poverty …