The design of a poverty measure involves the selection of a set of parameters and poverty figures. In most cases the … measures are estimated from sample surveys. This raises the question of how conclusive particular poverty comparisons are … shows how to apply dominance and rank robustness tests to assess comparisons as poverty cutoffs and other parameters changes …

This paper tests for robust multidimensional poverty comparisons across six countries of the West African Economic and …. Multidimensional poverty is also inferred to be more prevalent in rural than in urban areas. These results tend to support those …

Empirical applications of poverty measurement often have to deal with a stochastic weighting variable such as household … distributions of the decomposable curves. The poverty line is allowed to depend on the income distribution. It is shown how the … results can be used to test hypotheses concerning changes in poverty. The inference procedures are briefly illustrated using …

Kakwani (Econometrica, Vol. 48, No. 2, p. 437-446 (1980)) introduced the S-Gini poverty indices as a generalization of … Sen's poverty index. I propose a sample estimator for the indices and establish its asymptotic normality under weak … conditions. An explicit variance formula is presented. The poverty line is allowed to depend on the income distribution function …

The objective of measuring poverty is usually to make comparisons over time or between two or more groups. Common … statistical inference methods are used to determine whether an apparent difference in measured poverty is statistically … significant. Studies of relative poverty have long recognized that when the poverty line is calculated from sample survey data …

poverty, and school type). We used data from a random sample of 295 schools in Chile, estimated structural equation models … and exploitation, and hence ambidexterity, was significantly related to student achievement. In high-poverty schools, a …