Linear stochastic models and discretized kinetic theory are two complementary analytical techniques used for the investigation of complex systems of economic interactions. The former employ Langevin equations, with an emphasis on  trade; the latter is based on systems of ordinary differential equations and is better suited for the description of binary interactions, taxation and welfare redistribution. We propose a new framework which establishes a connection between the two approaches by introducing stochastic effects into the kinetic model based on Langevin and Fokker-Planck formalisms. Numerical simulations of the Langevin model indicate positive correlations between the Gini index and the total wealth, that suggests a growing inequality with increasing income. Complementary analysis shows a simultaneous decrease in inequality as social mobility increases in presence of a conserved total wealth, in conformity with economic expectations .
Linear stochastic models and discretized kinetic theory are two complementary analytical techniques used for the investigation of complex systems of economic interactions. The former employ Langevin equations, with an emphasis on stock trade; the latter is based on systems of ordinary differential equations and is better suited for the description of binary interactions, taxation and welfare redistribution. We propose a new framework which establishes a connection between the two approaches by introducing stochastic effects into the kinetic model based on Langevin and Fokker-Planck formalisms. Numerical simulations of the resulting model indicate positive correlations between the Gini index and the total wealth, that suggests a growing inequality with increasing income. Further analysis shows a simultaneous decrease in inequality as social mobility increases in presence of a conserved total wealth, in conformity with economic data .
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