Multidimensional poverty measurement and analysis is evolving rapidly. A particular
counting approach to multidimensional poverty measurement, developed by Sabina Alkire …

To analyze anti-poverty policies in tandem with the taxes used to pay for them, comparisons
of poverty before and after taxes and transfers are often used. We show that these …

The Roy model has more precise predictions about the self-selection of migrants than
previously realised. The conditions shown to result in positive or negative selection in terms …

This chapter discusses the formal and informal techniques that are commonly used to give
quantitative answers in the field of distributional analysis. To this end, it covers subjects …

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 …

We first show that one-sample and two-sample Kolmogorov–Smirnov tests may be
interpreted as multiple testing procedures, nonparametrically testing equality at each point in …

We investigate whether cryptocurrencies provide diversification benefits to risk averters via a
stochastic spanning methodology. We avoid the conceptual and statistical problems of non …

We investigate the degree to which cryptocurrencies provide diversification benefits to an
investor. We use a stochastic spanning methodology to construct optimal portfolios with and …

This chapter presents a constructive survey of the major existing methods for measuring
multidimensional poverty. Many measures were motivated by the basic needs approach, the …