Bennett and Hatzimasoura (2011) derive a new class of poverty measures suitable for ordinal variables. These indices are weighted sums of the population probabilities of attaining each state of the ordinal variable which is below the poverty line. The weights are uniquely determined by the...

When measuring poverty with counting measures, are there conditions ensuring that poverty reduction not only reduces the average poverty score further but also decreases deprivation inequality among the poor more, thereby emphasizing improvements among the poorest of the poor? In the case of a...

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 values. Applying multivariate stochastic dominance techniques, this paper derives the distributional conditions...

Individual income is determined by free-will actions related to the level of effort exerted and by opportunities determined by aspects beyond the individual's control, such as family background, race, place of birth or health endowments. Taking human capital as the main engine of development, we...

Conventional wisdom predicts that changes in macroeconomic conditions significantly affect income inequality. In this paper we hypothesize that the way in which macroeconomic conditions affect inequality depends on how these conditions influence the constituents of total inequality: inequality...

Using family income from the Panel Study of Income Dynamics (PSID), we apply Quantile Regression to estimate the Intergenerational Income Elasticity (IGE) by percentiles in the U.S. from 1980 to 2010. For the whole period, the IGE shows a Ushape across the income distribution, with maximum...