This paper proposes two new indices of relative deprivation, derived from an extension of the concept of generalized Gini to the measurement of distributional change. Population- and income-weighted relative deprivation indices are then defined and, using panel data from the Consortium of...

The paper discusses the main issues related to negative and zero incomes that are relevant for the measurement of poverty. It shows the prevalence of non-positive incomes in high- and middle-income countries, provides an analysis of the sources and structure of these incomes, outlines the...

Incomes in surveys suffer from various measurement problems, most notably in the tails of their distributions. We study the prevalence of negative and zero incomes, and their implications for inequality and poverty measurement relying on 57 harmonized surveys covering 12 countries over the...

Incomes in surveys suffer from various measurement problems, most notably in the tails of their distributions. We study the prevalence of negative and zero incomes, and their implications for inequality and poverty measurement relying on 57 harmonized surveys covering 12 countries over the...

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...

This paper attempts to explicitly integrate the idea of reference group when measuring relative deprivation. It assumes that in assessing her situation in society an individual compares herself with individuals whose environment can be considered as being similar to hers. By environment we mean...

The paper uses a range of methods to assess changes in income, poverty and income distribution between 2001 and 2002 in Kazakhstan. It is found that outstanding GDP growth has been translated into very modest growth in mean household income. However, both income poverty and inequality have...

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 analyses. Based on the models used by this literature, this...