The multitude of available poverty measures can confuse a policy maker who wants to evaluate a poverty-reduction policy …. We proposes a rule for ranking poverty measures by use of the food-gap, calculated as the cost-difference between a … of a family under economic stress. A household is identified as ‘truly’ poor or non-poor by a given poverty measure if …

Most of the data available for measuring capabilities or dimensions of poverty is either ordinal or categorical …. However, the majority of the indices introduced for the assessment of multidimensional poverty behave well only with cardinal … and a number of poverty indices has been proposed taking this framework into account. However, the implementation of this …

characterized by increasing income inequality and poverty. An axiomatically modified Datt-Ravallion decomposition, that separates … changes in poverty rates into mean and inequality components, will illustrate how each of them has contributed to those …

This paper identifies a multiplicative decomposition for the Foster-Greer-Thorbecke poverty indices as a product of the … three components which should be involved in every poverty index: the incidence of poverty, measured by the headcount ratio …, the intensity of poverty, measured by the aggregate income gap ratio and the inequality among the poor measured by an …

Poverty and informal employment are often regarded as correlated phenomena. Many empirical studies have shown that … informal employment has a causal impact on household poverty, mainly through low wages. Yet other studies focus on the reverse … causality from poverty to informality, arising from a range of constraints that poverty poses to job holders. Only recently have …

in Colombia and Peru. Relying on household survey data, we simulate the potential impact of the transfer on poverty … Nested Logit Model. Our results show that a NCP in Colombia and Peru contributes to the reduction of poverty and inequality …

-record data sets for multiple countries, in addition to providing summary statistics from those data, including poverty and … addressed by a truly global micro-data base for studying poverty and inequality. …

The aim of this paper is to explain why poverty and material deprivation in South Africa are significantly higher among … those of African descent than among whites. To do so, we estimate the conditional levels of poverty and deprivation Africans … show that the racial gap in poverty and deprivation can be attributed to the cumulative disadvantaged characteristics of …