An agent-based interaction model for Chinese personal income distribution

The personal income distribution in China was studied by employing the data from China Household Income Projects (CHIP) between 1990 and 2002. It was observed that the low and middle income regions could be described by the log-normal law, while the large income region could bewell fitted by the power law. To characterize these empirical findings, a stochastic interactive model with mean-field approach was discussed, and the analytic result shows that thewealth distribution is of the Pareto type. Thenwe explored the agentbasedmodel on networks, inwhich the exchange of wealth among agents depends on their connectivity. Numerical results suggest that thewealth of agentswould largely rely on their connectivity, and the Pareto index of the simulated wealth distributions is comparable to those of the empirical data. The Pareto behavior of the tails of the empirical wealth distributions is consistent with that of the ‘mean-field’ model, as well as numerical simulations. © 2015 Elsevier B.V. All rights reserved.