使用高频数据衡量通胀预期的不确定性

J. Chan, Yong Song
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引用次数: 32

摘要

通胀预期在决定未来经济结果方面发挥着关键作用。相关的不确定性提供了通胀预期锚定程度的直接衡量标准。我们构建了一个基于模型的通胀预期不确定性度量,方法是用从金融市场获得的嘈杂的、可能有偏差的通胀预期度量信息来增强一个标准的未观察到的通胀成分模型。这种新的基于模型的通胀预期不确定性测量方法可以更准确地估计,并可以为政策制定者提供有价值的信息。利用美国的数据,我们发现大衰退期间通胀预期的不确定性发生了重大变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Inflation Expectations Uncertainty Using High-Frequency Data
Inflation expectations play a key role in determining future economic outcomes. The associated uncertainty provides a direct gauge of how well‐anchored the inflation expectations are. We construct a model‐based measure of inflation expectations uncertainty by augmenting a standard unobserved components model of inflation with information from noisy and possibly biased measures of inflation expectations obtained from financial markets. This new model‐based measure of inflation expectations uncertainty is more accurately estimated and can provide valuable information for policymakers. Using U.S. data, we find significant changes in inflation expectations uncertainty during the Great Recession.
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