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Wealth distribution, Pareto law, and stretched exponential decay of money

  • We study by Monte Carlo simulations a kinetic exchange trading model for both fixed and distributed saving propensities of the agents and rationalize the person and wealth distributions. We show that the newly introduced wealth distribution – that may be more amenable in certain situations – features a different power-law exponent, particularly for distributed saving propensities of the agents. For open agent-based systems, we analyze the person and wealth distributions and find that the presence of trap agents alters their amplitude, leaving however the scaling exponents nearly unaffected. For an open system, we show that the total wealth – for different trap agent densities and saving propensities of the agents – decreases in time according to the classical Kohlrausch–Williams–Watts stretched exponential law. Interestingly, this decay does not depend on the trap agent density, but rather on saving propensities. The system relaxation for fixed and distributed saving schemes are found to be different.

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Metadaten
Author details:Ekrem AydinerORCiD, Andrey G. CherstvyORCiD, Ralf MetzlerORCiDGND
DOI:https://doi.org/10.1016/j.physa.2017.08.017
ISSN:0378-4371
ISSN:1873-2119
Title of parent work (English):Physica : europhysics journal ; A, Statistical mechanics and its applications
Subtitle (English):Computer simulations analysis of agent-based models
Publisher:Elsevier
Place of publishing:Amsterdam
Publication type:Article
Language:English
Date of first publication:2017/08/18
Publication year:2018
Release date:2022/02/14
Tag:Econophysics; Pareto law; Scaling exponents; Wealth and income distribution
Volume:490
Number of pages:11
First page:278
Last Page:288
Funding institution:University of IstanbulIstanbul University [BEK-3201-55383]; University of Potsdam
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
DDC classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Peer review:Referiert
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