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The mean-field approximation model of company's income growth

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Author Info

  • Mizuno, Takayuki
  • Takayasu, Misako
  • Takayasu, Hideki
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    Abstract

    We introduce a mean-field-type approximation for description of company's income statistics. Utilizing huge company data we show that a discrete version of Langevin equation with additive and multiplicative noises can appropriately describe the time evolution of a company's income fluctuation in statistical sense. The Zipf's law of income distribution is shown to be held in a steady-sate widely, and country dependence of income distribution can also be nicely implemented in our numerical simulation.

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    File URL: http://www.sciencedirect.com/science/article/pii/S037843710300921X
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    Bibliographic Info

    Article provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.

    Volume (Year): 332 (2004)
    Issue (Month): C ()
    Pages: 403-411

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    Handle: RePEc:eee:phsmap:v:332:y:2004:i:c:p:403-411

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    Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/

    Related research

    Keywords: Econophysics; Company's income; Zipf's law;

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    Cited by:
    1. Chakrabarti, Anindya S., 2012. "Effects of the turnover rate on the size distribution of firms: An application of the kinetic exchange models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(23), pages 6039-6050.
    2. Xie, Wen-Jie & Gu, Gao-Feng & Zhou, Wei-Xing, 2010. "On the growth of primary industry and population of China’s counties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3876-3882.
    3. Hisano, Ryohei & Mizuno, Takayuki, 2011. "Sales distribution of consumer electronics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 309-318.

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