2015, №2

Modeling expectations in systems with heterogeneous agents

20.06.201519 октября, 2023Без комментариев


Influence of endogenous rate of time preferences on dynamics of stochastic models with heterogeneous agents with use of algorithm of formation of expectations, related with learning agents by a trial and error method is considered. It is shown, that in models with endogenous rate of time preferences speed of a convergence of this algorithm considerably exceeds speed of a convergence of algorithm in models with constant rate of time preferences. Presence of a feedback for rate of time preferences leads to to decrease volatility of the researched variables.

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Leonid A. Serkov — Cand. Sci. (Physics and Mathematics), Associate Professor, Head of the Department of Applied Informatics, Ural Institute of Business (Ekaterinburg, Russian Federation; e-mail: dsge2012@mail.ru).