广义临近预报修正分析

F. Hayashi, Yuta Tachi
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引用次数: 0

摘要

临近预报修正分析是关于目标变量的临近预报如何根据实时发布的数据进行修正。数据发布的内容包括数据修订和新的观测结果。当模型参数被修正时,临近预报也会发生变化。现有的修正分析能够将新观测值对近预报的影响分解为单个指标变量的贡献,但无法对数据修正效应和参数修正效应进行分解。本文展示了如何将分解应用于所有三种效果。为了说明这一点,新方法被应用于预测2021年第二季度的美国GDP增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generalized Nowcast Revision Analysis
The nowcast revision analysis is about how a nowcast of the target variable is revised in response to data releases in real time. The content of a data release includes data revisions as well as new observations. The nowcast also changes when the model parameter is revised. The existing revision analysis is capable of breaking down the new-observations effect on the nowcast into contributions from individual indicator variables, but no such breakdown is available for the data-revisions effect and the parameter-revisions effect. This paper shows how the breakdown can be applied to all three effects. For illustration, the new method is applied to nowcasting U.S. GDP growth for 2021:Q2.
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