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A reliable and computationally efficient algorithm for imposing the saddle point property in dynamic models

机译:在动态模型中施加鞍点特性的可靠且计算高效的算法

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This paper describes a set of algorithms for quickly and reliably solving linear rational expectations models. The utility, reliability and speed of these algorithms are a consequence of (1) the algorithm for computing the minimal dimension state space transition matrix for models with arbitrary numbers of lags or leads, (2) the availability of a simple modeling language for characterizing a linear model and (3) the use of the QR Decomposition and Arnoldi type eigenspace calculations. The paper also presents new formulae for computing and manipulating solutions for arbitrary exogenous processes.
机译:本文介绍了一组算法,用于快速而可靠地求解线性有理期望模型。这些算法的实用性,可靠性和速度是以下方面的结果:(1)用于为具有任意数量的滞后或超前的模型计算最小维状态空间转换矩阵的算法;(2)用于描述特征的简单建模语言的可用性线性模型和(3)使用QR分解和Arnoldi类型本征空间计算。本文还提出了用于计算和处理任意外生过程的解决方案的新公式。

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