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• W2903341335 abstract "In this paper, we borrow some of the key concepts of nonequilibrium statistical systems, to develop a framework for analyzing a self-organizing-optimizing system of independent interacting agents, with nonlinear dynamics at the macro level that is based on stochastic individual behavior at the micro level. We demonstrate the use of entropy-divergence methods and micro income data to evaluate and understand the hidden aspects of stochastic dynamics that drives macroeconomic behavior systems and discuss how to empirically represent and evaluate their nonequilibrium nature. Empirical applications of the information theoretic family of power divergence measures-entropic functions, interpreted in a probability context with Markov dynamics, are presented." @default.
• W2903341335 created "2018-12-11" @default.
• W2903341335 creator A5072712249 @default.
• W2903341335 date "2018-12-04" @default.
• W2903341335 modified "2023-10-16" @default.
• W2903341335 title "Micro-Macro Connected Stochastic Dynamic Economic Behavior Systems" @default.
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• W2903341335 doi "https://doi.org/10.3390/econometrics6040046" @default.
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