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...

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...

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...

The transitional economies of the Former Soviet Union (FSU) have enjoyed an extraordinary period of growth and poverty reduction between 2000 and 2007 and this occurred in concomitance with significant increases in private and public transfers to households. The paper assesses the relative...

Do people care about income inequality and does income inequality affect subjective well-being? Welfare theories can predict either a positive or a negative impact of income inequality on subjective well-being and empirical research has found evidence on a positive, negative or non significant...

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...

The measurement of income inequality is affected by missing observations, espe- cially if they are concentrated on the tails of an income distribution. This paper conducts an experiment to test how the different correction methods proposed by the statistical, econometric and machine learning...