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Pareto Distribution, Self-similarity and Empirics

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Income Modeling and Balancing

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 679))

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Abstract

A one-parametric version of the Pareto distribution can be obtained as unique solution of a differential equation for Lorenz curves. This distribution, also, is unique among self-similar Lorenz curves as well as among all so-called Gini self-similar Lorenz curves. Median self-similarity leads to a wider solution manifold but every function of this manifold is interpolated by a Pareto distribution. The Pareto distribution is also obtainable from an iterative process that considers every Lorenz curve as a distribution function.

Parameters of best fit Pareto distributions are given for empirical income data. These show a great imbalance for the world as a whole and indicate that the most prosperous nations lie in a “productive inequality range”. Some remarks to changes in social balance over the last decade are given. Also, there is a reference to Thomas Piketty’s important work “Capital in the 21st century”,

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Kämpke, T., Radermacher, F.J. (2015). Pareto Distribution, Self-similarity and Empirics. In: Income Modeling and Balancing. Lecture Notes in Economics and Mathematical Systems, vol 679. Springer, Cham. https://doi.org/10.1007/978-3-319-13224-2_7

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