评估欧元区的通胀预测和欧洲央行的作用

IF 3.4 3区 经济学 Q1 ECONOMICS
Bertrand Candelon, Francesco Roccazzella
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引用次数: 0

摘要

本文使用事后最优预测和非负权重组合来评估欧洲央行通胀预测与-à-vis欧元区其他机构和基于模型的预测的信息价值。从方法学的角度来看,我们将相应的预测包络测试适应于受限的参数空间,展示了其在尺寸和功率特性方面优于传统包络测试的性能。从经验上看,组合权重和预测包含测试表明,欧洲央行是2009-2021年期间欧元区通胀的最具信息性的预测者。这种情况在2022年发生了变化:欧洲央行失去了作为信息量最大的预测者的地位,当使用滚动窗口来估计使用滚动窗口的组合权重时,我们发现欧洲央行的权重随着时间的推移出现了重要的下降。这种时间依赖性可能与经济环境有关,特别是与不确定性水平、货币政策和欧洲央行所处的宏观金融环境有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Inflation Forecasts in the Euro Area and the Role of the ECB

This paper evaluates the informative value of the ECB inflation forecasts vis-à-vis other institutional and model-based forecasts in the euro area using ex post optimal combinations of forecasts and nonnegative weights. From a methodological perspective, we adapt the corresponding forecast encompassing test to the constrained parameter space, showcasing its superior performance over traditional encompassing tests in both size and power properties. Empirically, the combining weights and the forecast encompassing test reveal that the ECB was the most informative forecaster of euro area inflation over the 2009–2021 period. This changed in 2022: The ECB lost its position as the most informative forecaster, and when using rolling windows to estimate the combining weights using a rolling window, we find an important decline in the ECB's weight over time. This time dependency can be associated with the economic environment and, in particular, the level of uncertainty, the monetary policy, and the macro-financial conditions in which the ECB operates.

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来源期刊
CiteScore
5.40
自引率
5.90%
发文量
91
期刊介绍: The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological. A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged. Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment. Of particular interest are papers dealing with modelling issues and the relationship of forecasting systems to decision-making processes.
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