The mean-field approximation model of company's income growth
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.
Volume (Year): 332 (2004)
Issue (Month): C ()
|Contact details of provider:|| Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/|
When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:332:y:2004:i:c:p:403-411. See general information about how to correct material in RePEc.
If references are entirely missing, you can add them using this form.