Statistics of Correlations and Fluctuations in a Stochastic Model of Wealth Exchange


In our recently proposed stochastic version of discretized kinetic theory, the exchange of wealth in a society is modelled through a large system of Langevin equations. The deterministic part of the equations is based on non-linear transition probabilities between income classes. The noise terms can be additive, multiplicative or mixed, both with white or Ornstein–Uhlenbeck spectrum. The most important measured correlations are those between Gini inequality index G and social mobility M, between total income and G, and between M and total income. We describe numerical results concerning these correlations and a quantity which gives average stochastic deviations from the equilibrium solutions in dependence on the noise amplitude.

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Divisions: College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Uncontrolled Keywords: discretized kinetic theory,wealth exchange models,Langevin stochastic equations,multiplicative noise,Ornstein–Uhlenbeck noise
Publication ISSN: 1099-4300
Last Modified: 24 May 2024 07:13
Date Deposited: 07 Mar 2018 10:00
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Related URLs: http://www.mdpi ... 9-4300/20/3/166 (Publisher URL)
PURE Output Type: Article
Published Date: 2018-03-05
Accepted Date: 2018-03-03
Authors: Bertotti, Maria Letizia
Chattopadhyay, Amit K (ORCID Profile 0000-0001-5499-6008)
Modanese, Giovanni



Version: Published Version

License: Creative Commons Attribution

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