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 …

The at-risk-of-poverty rate is one of the three indicators used for monitoring progress towards the Europe 2020 poverty … policies. However, due to complicated nature of the European Union Statistics on Income and Living Conditions (EU-SILC) poverty …") the current at-risk-of-poverty rate for the European Union (EU) countries based on EU-SILC microdata from a previous …