缓解前瞻指导难题:注意力不集中、可信度、有限规划视野和学习

O. Groot, Falk Mazelis
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引用次数: 3

摘要

本文开发了一种简单、一致的方法,通过修改对政策公告的预期,利用现有的宏观经济模型生成经验上现实的前瞻指导模拟。我们的方法的主要优点在于准确地保存了所有其他的冲击传输。我们描述了四种情景,关于代理人如何整合有关未来利率公告的信息:“不注意”、“可信度”、“有限规划范围”和“学习”。该方法包括描述单个加载矩阵,该矩阵增加了均衡决策规则,可以应用于任何标准的DSGE,包括大规模的政策-制度模型。最后,给出了解决前向制导难题的条件。JEL分类:C63, E32, E52
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mitigating the Forward Guidance Puzzle: Inattention, Credibility, Finite Planning Horizons and Learning
This paper develops a simple, consistent methodology for generating empirically realistic forward guidance simulations using existing macroeconomic models by modifying expectations about policy announcements. The main advantage of our method lies in the exact preservation of all other shock transmissions. We describe four scenarios regarding how agents incorporate information about future interest rate announcements: “inattention”, “credibility”, “finite planning horizon”, and “learning”. The methodology consists of describing a single loading matrix that augments the equilibrium decision rules and can be applied to any standard DSGE, including large-scale policy-institution models. Finally, we provide conditions under which the forward guidance puzzle is resolved. JEL Classification: C63, E32, E52
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