Distribution Of Wealth In A Network Model Of The Economy
Tao Ma, John G. Holden, R. A. Serota

TL;DR
This paper demonstrates that wealth distribution in a networked economic model follows a generalized inverse gamma distribution, simplifying to an inverse gamma distribution in the mean-field limit, supported by analytical and numerical evidence.
Contribution
It introduces a generalized inverse gamma distribution to describe wealth in the Bouchaud-Mézard network model, extending previous mean-field results.
Findings
Wealth distribution follows a three-parameter generalized inverse gamma distribution.
In the mean-field limit, it simplifies to an inverse gamma distribution.
Analytical and numerical methods confirm the distribution's applicability.
Abstract
We show, analytically and numerically, that wealth distribution in the Bouchaud-M\'ezard network model of the economy is described by a three-parameter generalized inverse gamma distribution. In the mean-field limit of a network with any two agents linked, it reduces to the inverse gamma distribution.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Economic theories and models · Business Strategy and Innovation
