解决结构变化下的线性理性预期模型:一些改进

M. Hatcher
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引用次数: 0

摘要

线性理性期望模型的标准解方法假设一个定常结构。最近的工作已经超越了这一点,通过制定受结构变化影响的线性理性预期模型的解决方法,例如提前宣布的参数变化和政策改革。本文通过提出一种快速、通用且易于使用的反向递归求解方法,为这一文献做出了贡献:唯一的技术要求是用户“写下”每个体系中的结构矩阵;然后使用这些矩阵递归地找到解决方案。我提供了一系列的例子,并展示了该方法如何处理一些重要的结构性变化——比如不完全可信的政策改革和向多重平衡(太阳黑子)的转变——这些在最近的文献中很少受到关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solving linear rational expectations models in the presence of structural change: Some refinements
Standard solution methods for linear rational expectations models assume a time-invariant structure. Recent work has gone beyond this by formulating solution methods for linear rational expectations models subject to structural changes, such as parameter shifts and policy reforms, that are announced in advance. This paper contributes to this literature by presenting a backward recursive solution method that is fast, general and easy to use: the only technical requirement is that the user `write down' the structural matrices in each regime; the solution is then found recursively using these matrices. I provide a series of examples and show how the method can deal with some important structural changes - such as imperfectly credible policy reforms and shifts to multiple equilibria (sunspots) - that received little attention in recent literature.
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