欧洲通胀预期的形成:一条学习规则并不适用于所有

Christina Strobach, Carin van der Cruijsen
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引用次数: 7

摘要

我们实证研究了不同的学习规则如何很好地解释了欧元区六个主要成员国家庭通胀预期的形成。我们的研究结果揭示了在国家层面上使用的学习规则的显著异质性。虽然一些国家的预期形成过程可以通过包含前瞻性因素的规则来最好地解释(德国、意大利、荷兰),但其他国家的家庭利用能源价格信息(法国)或通过更传统的学习规则来形成预期(比利时、西班牙)。此外,我们的研究结果表明,基于最小二乘的算法不仅在复制通胀预期数据方面,而且在预测实际通胀率方面都明显优于随机梯度算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Formation of European Inflation Expectations: One Learning Rule Does Not Fit All
We empirically investigate how well different learning rules manage to explain the formation of household inflation expectations in six key member countries of the euro area. Our findings reveal a pronounced heterogeneity in the learning rules employed on the country level. While the expectation formation process in some countries can be best explained by rules that incorporate forward-looking elements (Germany, Italy, the Netherlands), households in other countries employ information on energy prices (France) or form their expectations by means of more traditional learning rules (Belgium, Spain). Moreover, our findings suggest that least squares based algorithms significantly outperform their stochastic gradient counterparts, not only in replicating inflation expectation data but also in forecasting actual inflation rates.
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