Multidimensional measures provide an alternative lens through which poverty may be
viewed and understood. In recent work we have attempted to offer a practical approach to …

This chapter examines different approaches to the measurement of multidimensional
inequality and poverty. It first outlines three aspects preliminary to any multidimensional …

Stochastic dominance techniques have been mainly employed in poverty analyses to
overcome what it is called the multiplicity of poverty indices problem. Moreover, in the …

This book offers an up-to-date, comprehensive coverage of stochastic dominance and its
related concepts in a unified framework. A method for ordering probability distributions …

Our paper contributes to the literature by developing the theory of the mean-variance (MV)
rules for investors with reverse S-shaped utility. To do so, we first introduce the definition of …

A natural concern with multivariate poverty measures, as well as with other composite
indices, is the robustness of their ordinal comparisons to changes in the indices' parameter …

This paper measures inequality of opportunity in adult health in Colombia using the 2010
Living Standards and Social Mobility Survey, a rich dataset that provides unique information …

There are infinitely many alternative benchmark weights that decision makers could choose
to measure multidimensional poverty. To overcome the resulting uncertainty, we derive a …

The challenges associated with poverty measurement using a cardinal variable have
received much attention over the past four decades, but there is a dearth of literature on how …

We propose new ways to compare two latent distributions when only ordinal data are
available, and without imposing parametric assumptions on the underlying continuous …