通胀预期能改善基于模型的通胀预测吗?

Marta Bańbura, Danilo Leiva-León, Jan-Oliver Menz
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引用次数: 25

摘要

那些专业的预测者会。对于欧元区及其成员国的大范围时间序列模型,我们发现,与没有纳入欧洲央行SPF和共识经济学的通胀预期信息的模型相比,纳入这些信息的模型的平均预测精度更高。通过纳入通胀预期,预测准确性的提高通常不大,但在某些时期是显著的。短期和长期预期都能提供有用的信息。相比之下,纳入来自金融市场价格或企业和家庭的预期并不会导致预测绩效的系统性改进。我们考虑的单个模型通常比单变量基准更好,但对于欧元区,专业预测者更准确,特别是近年来(并不总是针对国家)。该分析是针对总体通胀和不包括能源和食品的通胀进行的,并使用2001-2019年的实时数据对点和密度预测进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Do Inflation Expectations Improve Model-Based Inflation Forecasts?
Those of professional forecasters do. For a wide range of time series models for the euro area and its member states we find a higher average forecast accuracy of models that incorporate information on inflation expectations from the ECB’s SPF and Consensus Economics compared to their counterparts that do not. The gains in forecast accuracy from incorporating inflation expectations are typically not large but significant in some periods. Both short- and long-term expectations provide useful information. By contrast, incorporating expectations derived from financial market prices or those of firms and households does not lead to systematic improvements in forecast performance. Individual models we consider are typically better than univariate benchmarks but for the euro area the professional forecasters are more accurate, especially in recent years (not always for the countries). The analysis is undertaken for headline inflation and inflation excluding energy and food and both point and density forecast are evaluated using real-time data vintages over 2001-2019.
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