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INTERTEMPORAL GENERAL EQUILIBRIUM MODEL OF THE RUSSIAN ECONOMY BASED ON NATIONAL ACCOUNTS DEAGGREGATION

机译:基于国民账户分散度的俄罗斯经济跨期一般均衡模型

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The paper describes a three-product intertemporal general equilibrium model of the Russian economy. The System Analysis of Evolving Economy (SAEE) approach to modelling economic processes developed in 1975 is described. Based on SAEE Intertemporal Equilibrium Model with Control of Capital (IEMCC) and three-product nonlinear deaggregation of Russian national accounts by consumption are described. The model agents of two types are introduced: mass (rational) and individual (scenario) agents. The former type includes Bank, Producer, Household, Owner, and Trader. The latter type includes State, Central Bank, Exporter, and Importer. The model is reduced to a boundary-value problem for a significantly nonlinear system of equations. These equations are derived from the initial hypothesis by means of the original economic modelling assistance system ECOMOD which is developed in the computer algebra system MAPLE. The model is adjusted with respect to official statistical quarterly data from 2004 till 2010. The calculation results are provided. The model proves the ability to model the Russian economy as a result of interactions of rational and individual macroeconomic agents.
机译:本文描述了俄罗斯经济的三产品跨期一般均衡模型。描述了对1975年开发的经济过程进行建模的演化经济系统分析(SAEE)方法。基于资本控制的SAEE跨期均衡模型(IEMCC)和按消费量对俄罗斯国民账户的三产品非线性分解进行了描述。引入了两种类型的模型代理:质量(理性)代理和个人(场景)代理。前一种类型包括银行,生产者,家庭,所有者和交易者。后者包括州,中央银行,出口商和进口商。对于明显的非线性方程组,该模型被简化为边值问题。这些方程式是通过原始的经济建模辅助系统ECOMOD从初始假设中得出的,ECOMOD是在计算机代数系统MAPLE中开发的。针对2004年至2010年的官方统计季度数据对模型进行了调整。提供了计算结果。该模型证明了由于理性和个体宏观经济主体相互作用而对俄罗斯经济进行建模的能力。

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  • 来源
    《Journal of Mathematical Sciences》 |2014年第2期|175-236|共62页
  • 作者单位

    Dorodnicyn Computing Center of Russian Academy of Sciences, Moscow, Russia;

    Moscow State University, Moscow, Russia;

    State University Higher School of Economics, Moscow, Russia;

    Moscow Institute of Physics and Technology, Moscow, Russia;

    Dorodnicyn Computing Center of Russian Academy of Sciences, Moscow, Russia;

    Dorodnicyn Computing Center of Russian Academy of Sciences, Moscow, Russia;

    State University Higher School of Economics, Moscow, Russia;

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