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. 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. …

The paper uses a range of methods to assess changes in income, poverty and income distribution between 2001 and 2002 in …, both income poverty and inequality have decreased significantly and growth has been 'pro-poor', which is explained by … changes in inequality accounting for almost all the changes in poverty. The elasticity of poverty with respect to both growth …

Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare …. This paper tests the performance of a recently developed cross-survey imputation method to estimate poverty for a sample of … proposed method offers poverty estimates based on administrative data that are mostly statistically insignificantly different …

Poverty measurement among forcibly displaced populations, including refugees and internally displaced persons, has been …, for long, neglected by the economics profession and by poverty specialists working across the social sciences. This has … reviews the evolution, current status, and future prospects of the poverty measurement literature on forcibly displaced …