Article ID Journal Published Year Pages File Type
5102551 Physica A: Statistical Mechanics and its Applications 2017 17 Pages PDF
Abstract
With personal annual income data of 5 consecutive years (1998-2002) from CHIPS, dynamic characteristics of Chinese income are studied, especially two hypotheses of time reversal symmetry and independent growth rate are tested. In high income regions, an increasing trend of the standard deviation of income growth rate is observed, which means independent growth rate hypothesis fails to hold. This empirical finding is designed as a new mechanism and added into Gibrat's model, which yields a distribution with a power-law tail. Our model's simulation result shows that increasing variance of income growth rates for higher income regions is the key ingredient to get the power-law tail.
Related Topics
Physical Sciences and Engineering Mathematics Mathematical Physics
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