Oscillations in the Tsallis income distribution
Everton M. C. Abreu, Newton J. Moura Jr., Abner D. Soares, Marcelo, B. Ribeiro

TL;DR
This paper introduces a novel approach to modeling income distribution oscillations by allowing the Tsallis q-parameter to be complex, successfully capturing the oscillatory behavior in Brazilian income data.
Contribution
It proposes using a complex Tsallis q-parameter to naturally describe oscillations in income distribution, providing a new theoretical framework for analyzing CCDF oscillations.
Findings
Successfully modeled oscillations in Brazilian income data
Recovered main oscillatory features with a non-linear CCDF function
Demonstrated the approach's potential for understanding income distribution dynamics
Abstract
Oscillations in the complementary cumulative distribution function (CCDF) of individual income data have been found in the data of various countries studied by different authors at different time periods, but the dynamical origins of this behavior are currently unknown. Although these datasets can be fitted by different functions at different income ranges, the Tsallis distribution has recently been found capable of fitting the whole distribution by means of only two parameters. This procedure showed clearly such oscillatory feature in the entire income range feature, but made it particularly visible at the tail of the distribution. Although log-periodic functions fitted to the data are capable of describing this behavior, a different approach to naturally disclose such oscillatory characteristics is to allow the Tsallis -parameter to become complex. In this paper we use this idea in…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Income, Poverty, and Inequality
