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Measurement errors and monetary policy: Then and now

机译:计量误差和货币政策:过去和现在

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摘要

Should policymakers and applied macroeconomists worry about the difference between real-time and final data? We tackle this question by using a Bayesian VAR with time varying parameters and stochastic volatility to show that the distinction between real-time data and final data matters for the impact of monetary policy shocks: The impact on final data is substantially and systematically different (in particular, larger in magnitude for different measures of real activity) from the impact on real-time data. These differences have persisted over the last 40 years and should be taken into account when conducting or studying monetary policy. (C) 2017 Elsevier B.V. All rights reserved.
机译:政策制定者和应用宏观经济学家是否应该担心实时数据与最终数据之间的差异?我们通过使用具有时变参数和随机波动性的贝叶斯VAR来解决此问题,以表明实时数据和最终数据之间的区别对于货币政策冲击的影响至关重要:对最终数据的影响存在实质性和系统性的差异(在尤其是对实时活动的不同程度而言,其影响更大)。这些差异在过去40年中一直存在,在执行或研究货币政策时应予以考虑。 (C)2017 Elsevier B.V.保留所有权利。

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