We investigate the impact of a large-scale poverty alleviation program targeted at 62 poorest districts in Vietnam … we do not find significant program effects on household welfare (as measured by per capita income and poverty) and local …

Vietnam is widely regarded as a success story for its impressive economic growth and poverty reduction in the last few …. Furthermore, this inequality gap is rising over time. Despite the country's fast poverty reduction, the poor were increasingly … segregated in certain provinces. We find beneficial impact of economic growth on poverty reduction, but this can depend on …

Accurate poverty measurement relies on household consumption data, but such data are often inadequate, outdated or … to produce estimates for several poverty indicators including headcount poverty, extreme poverty, poverty gap, near-poverty … between surveys is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

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 …

, accompanied by accelerating poverty decline. Underlying these trends is a process of mobility, with 40-60 percent of the … poverty remain vulnerable. Most of those who are poor were also poor in the preceding period and, thus, are likely to be …

OLS models are the predominant choice for poverty predictions in a variety of contexts such as proxy-means tests …, poverty mapping or cross-survey imputations. This paper compares the performance of econometric and machine learning models in … predicting poverty using alternative objective functions and stochastic dominance analysis based on coverage curves. It finds …

Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare …. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad … poverty estimates based on administrative data that fall within a 95 percent margin of poverty estimates based on survey …