addressing this challenge and providing methods for ethical poverty, welfare, and inequality comparisons with univariate ordered …

the prevalence of negative and zero incomes, and their implications for inequality and poverty measurement relying on 57 … and zero incomes and assesses the distributional impacts of alternative correction methods on poverty and inequality … materially deprived. Adjusting poverty and inequality measures for these findings can alter these measures significantly. …

poverty. It shows the prevalence of non-positive incomes in high- and middle-income countries, provides an analysis of the … standard poverty indexes. It is argued that negative and zero incomes cannot be treated equally in terms of household well …-being and that standard methods used by practitioners fail to recognize this fact likely resulting in overestimations of poverty. …

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 …

Poverty prediction models are used by economists to address missing data issues in a variety of contexts such as … poverty profiling, targeting with proxy-means tests, cross-survey imputations such as poverty mapping, or vulnerability … models to predict poverty under these different scenarios. It finds that the quality of predictions and the choice of the …