We present two Gini-like inequality indices that provide a more nuanced picture of how the profile of inequality has changed across European countries since 2005. We use these indices to analyse the distributional changes that can be attributed to the push for austerity. We estimate the...

Index of refraction is found to be a good measure of economic inequality within the Lorenz curve framework. It has origin in geometrical optics, where it measures bending of a ray of light passing from one transparent medium into another. As light refracts according to characteristics of...

An ideal state of development, when viewed with fantasy, is nothing but a state or condition where light touches everybody without refraction. The diagonal line of the Lorenz Curve Framework represents such an ideal condition. In the presence of inequality, however, it deviates or refracts from...

Recent aspects of European and global economy reveals that consumer demand for organic products is growing and this provides the opportunity to develop a sustainable agriculture. However, while there is a visible new approach in all European countries on the management of organic farming, there...

We examine the relationship between changes in a country's public sector fiscal position and inequality at the top and bottom of the income distribution during the age of austerity (2006-13). We use a parametric Lorenz curve model and Gini-like indices of inequality as our measures to assess...

Similar looking Lorenz Curves can imply very different income density functions and potentially lead to wrong policy implications regarding inequality. This paper derives a relation between a Lorenz Curve and the modality of its underlying income density: Given a parametric Lorenz Curve, it is...

In this paper, several identities concerning expectation, variance, covariance, cumulative distribution functions, the coefficient of variation, and the Lorenz curve are obtained and they are used in establishing theoretical results. Furthermore, a graphical representation of the variance is...