accounts of scheduled commercial banks and the changes in below poverty line population. The result suggests that the growth in … bank accounts is not significantly associated with the reduction in below poverty line population across states. Providing … banking services to maximum number of people is unsuccessful as a poverty reduction strategy. As a poverty reduction strategy …

accounts of scheduled commercial banks and the changes in below poverty line population. The result suggests that the growth in … bank accounts is not significantly associated with the reduction in below poverty line population across states. Providing … banking services to maximum number of people is unsuccessful as a poverty reduction strategy. As a poverty reduction strategy …

higher levels of poverty. …

The literature on poverty convergence is sparse and much of the empirical evidence relies on Ravallion (2012) who found … a lack of poverty convergence across some ninety Less Developed Countries (LDCs) during 1977-2007. This paper revisits … cross-country poverty convergence using data from the same sources but an extended period, i.e. 1977-2014. We find that …

Empirical evidence in the sparse literature on poverty convergence currently relies on cross-sectional analysis, where … Less Developed Countries (LDCs) starting out poorer are found to have enjoyed no faster subsequent poverty reduction during … the past three decades than those starting out richer, as initial poverty retards growth and makes it less effective in …

Ghana has managed to consistently keep its poverty rate lower than the regional average over the past 25 years, but … this positive trend slowed down recently. We investigate the dynamics of overall, moderate, and extreme poverty in Ghana …-sectional data. While we find considerable conditional chronic (extreme) poverty rates hovering around 50-60 percent, there is more …

. 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 …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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

We examine the efficacy of a popular anti-poverty programme, namely the National Rural Employment Guarantee Act (NREGA …