异质信念与菲利普斯曲线

Roland Meeks, Francesca Monti
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引用次数: 9

摘要

我们建立了一套关于调查中报告的通胀预期横截面分布的新经验事实。几乎所有期望值的变化都可以归结为三个因素,我们称之为分歧、偏差和形状。我们采用功能主成分回归方法来估计通货膨胀的前瞻性模型,该模型利用了个人水平数据中存在的异质性。通过更有效地使用调查信息,我们的方法揭示了预期在通胀动态中的增强作用,对滞后通胀、趋势通胀和供应因素都是稳健的。我们的研究结果在两个主要经济体中也有类似的形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneous Beliefs and the Phillips Curve
We establish a set of novel empirical facts concerning cross-section distributions of inflation expectations reported in surveys. Almost all the variation in expectations about their mean may be summarized via three factors we call disagreement, skew, and shape. We adopt a functional principal component regression approach to estimating forward-looking models of inflation that exploits the heterogeneity present in individual-level data. By using survey information more effectively, our approach reveals an enhanced role for expectations in inflation dynamics that is robust to lagged inflation, trend inflation, and supply factors. Our findings hold in similar form across two major economies.
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