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 … non-positive incomes, and explains how non-positive incomes and alternative correction methods impact the measurement of …

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

This paper provides a method to make robust multidimensional poverty comparisons when one or more of the dimensions of … well-being or deprivation is discrete. Sampling distributions for the statistics used in these poverty comparisons are … information than do univariate poverty comparisons …

This paper provides a method to make robust multidimensional poverty comparisons when one or more of the dimensions of … well-being or deprivation is discrete. Sampling distributions for the statistics used in these poverty comparisons are … information than do univariate poverty comparisons …

This paper aims at measuring and analyzing the non-monetary aspect of multidimensional poverty by the basic needs … Multidimensional Correspondence Analysis (MCA) techniques to construct a Composite Poverty Indicator (CPI). Moreover, we use the most … recent data from the country survey QUIBB 2006. The results of the incidence of multidimensional poverty by two approaches …

The view of poverty as a multidimensional phenomenon has swiftly become mainstream. However, the debate remains open as … to how such ‘multidimensional poverty' should be assessed in practical settings, particularly when identifying the … beneficiaries of poverty alleviation programmes. This paper develops a novel empirical approach that explicitly takes into account …

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 …

In this paper, we propose to use the so-called Sen-Shorrocks poverty index (Shorrocks, 1995) to measure …, the most common case in the literature, and introduce a rank-dependent multidimensional poverty index for multiple binary … important for poverty analysis. An empirical illustration based on deprivation data from four Central American countries …

In the measurement of multidimensional deprivation, dimensions of deprivation are often weighted by people using either …