Wealth distribution in a System with Wealth-limited Interactions
Marisciel L. Palima, Eduardo J. David

TL;DR
This paper models wealth distribution in an economy by limiting interactions based on wealth similarity, successfully reproducing empirical Gibbsian and Pareto trends and their transition depending on interaction rules.
Contribution
It introduces a simple wealth-limited interaction model that explains the emergence of Gibbsian and Pareto wealth distributions and their transition points.
Findings
Wealth-limited interactions produce power law wealth distributions.
Transition from Gibbsian to Pareto distribution depends on the wealth-limiting parameter BETA.
Mutual and non-mutual interaction choices affect the transition point.
Abstract
We model a closed economic system with interactions that generates the features of empirical wealth distribution across all wealth brackets, namely a Gibbsian trend in the lower and middle wealth range and a Pareto trend in the higher range, by simply limiting the an agents' interaction to only agents with nearly the same wealth. To do this, we introduce a parameter BETA that limits the range on the wealth of a partner with which an agent is allowed to interact. We show that this wealth-limited interaction is enough to distribute wealth in a purely power law trend. If the interaction is not wealth limited, the wealth distribution is expectedly Gibbsian. The value of BETA where the transition from a purely Gibbsian law to a purely power law distribution happens depends on whether the choice of interaction partner is mutual nor not. For a non-mutual choice, where the richer agent gets to…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Economic theories and models · Advanced Thermodynamics and Statistical Mechanics
