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Introducing VAR and SVAR predictions in system dynamics models

机译:在系统动力学模型中引入VAR和SVAR预测

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摘要

Vector Autoregressive (VAR) and Structural Vector Autoregressive (SVAR) models may be described as those models that explain, at least partially, the values of a set of variables, based on the past values of this set of variables. During recent decades, these models have increased their importance in the field of economic analysis. In this work, we offer an approximation between these econometric techniques and the methodology of system dynamics. We show that by using usual elements in the models of system dynamics we can carry out the simulation of an SVAR model. We present an application to the Spanish labour market.
机译:向量自回归(VAR)和结构向量自回归(SVAR)模型可以描述为基于该组变量的过去值至少部分解释一组变量的值的那些模型。在最近的几十年中,这些模型在经济分析领域中的重要性日益提高。在这项工作中,我们提供了这些计量经济学技术和系统动力学方法之间的近似值。我们表明,通过在系统动力学模型中使用常规元素,我们可以进行SVAR模型的仿真。我们向西班牙劳动力市场提出申请。

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