Stefan Hutzler, John A. Joseph, Samuel Marks, Peter Richmond
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Modelling income distributions using Tsallis statistics
The World Bank provides data sets for income distributions of over 140 countries. We demonstrate that the large majority of these can be described by a distribution derived from Tsallis statistics, which is a generalisation of Boltzmann statistics, applicable to non-equilibrium systems. (For nine countries the log-normal distribution is statistically preferred.) The result of our least square fits of the income distributions suggests a roughly linear variation of the two Tsallis fit parameters, (an inverse temperature), and the index of non-extensivity, , for (with corresponding to Boltzmann statistics). Values of the Gini index (a measure of inequality) for the different countries, obtained from our least square fits, are in good agreement with published World Bank data. Finally, we present an expression for the cumulative distribution for income data which is normalised with respect to the average income, to allow for an estimation of the power law exponent describing its tail.
期刊介绍:
Physica A: Statistical Mechanics and its Applications
Recognized by the European Physical Society
Physica A publishes research in the field of statistical mechanics and its applications.
Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents.
Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.