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Practicality evaluation of stochastic model on networks for the real economy simulation

Author

Listed:
  • Hiromitsu Goto

    (Nihon University)

  • Wataru Souma

    (Nihon University)

  • Yuji Fujita

    (Nihon University)

Abstract

We investigate the practicality of the Bouchaud–Mézard (BM) model for the real economy simulation using an information of Japanese production network, which contains basic financial information for more than a million firms and several million links of supplier–customer links. We found that the BM model can fit the power-law tail of the sales distribution and partially predict the sales for the individual firm.

Suggested Citation

  • Hiromitsu Goto & Wataru Souma & Yuji Fujita, 2019. "Practicality evaluation of stochastic model on networks for the real economy simulation," Journal of Computational Social Science, Springer, vol. 2(1), pages 25-32, January.
    • Handle: RePEc:spr:jcsosc:v:2:y:2019:i:1:d:10.1007_s42001-019-00029-9
    DOI: 10.1007/s42001-019-00029-9
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    References listed on IDEAS

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    1. Takashi Ichinomiya, 2012. "Wealth distribution on complex networks," Papers 1209.2781, arXiv.org, revised Sep 2012.
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    Cited by:

    1. Justin Ehrlich & Christopher Boudreaux & James Boudreau & Shane Sanders, 2021. "An Analysis of an Alternative Pythagorean Expected Win Percentage Model: Applications Using Major League Baseball Team Quality Simulations," Papers 2112.14846, arXiv.org.

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