通货膨胀、对经济不确定性的认识和新冠肺炎:来自央行沟通的证据

IF 2 Q2 ECONOMICS Central Bank Review Pub Date : 2023-03-01 DOI:10.1016/j.cbrev.2023.100108
Pierre Hítalo Nascimento Silva, Jevuks Matheus de Araújo
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引用次数: 3

摘要

极端事件对文本情感有显著影响吗?本文的目的是强调有必要纠正对经济不确定性指标的估计。这些指标是根据关于极端事件视角的文本数据构建的。为此,根据从十八家中央银行货币政策会议纪要中提取的数据,我们估计了对经济不确定性的两个感知变量:第一个仅使用传统的情绪术语,第二个在单词表中包含了与极端事件(COVID-19大流行病)相关的术语。初步结果表明,新冠肺炎对经济不确定性感知的估计有显著影响;这种效应起到了加速作用,增强了其影响。很明显,在极端事件期间,在文本中进行情感分析时,结合连词问题(无论是局部问题还是全局问题)是必不可少的。此外,在整个估计过程中,如果不考虑连词问题,可能会导致变量形成偏差。
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Inflation, perception of economic uncertainty and COVID-19: Evidence from Central Bank communication

Do extreme events have a significant effect about textual sentiment? The purpose of this article is to highlight the need to correct the estimation of indicators of economic uncertainty. The indicators were constructed from textual data about the perspective of extreme events. For this purpose, based on data extracted from the minutes of mee-tings of the Monetary Policy of eighteen Central Banks, we estimated two variables of perception of economic uncertainty: the first using only a traditional sentiment dictio-nary and the second incorporating terms associated with the extreme event (COVID- 19 Pandemic) in its word list. Initial results show that there is a significant effect of COVID-19 on the estimation of the perception of economic uncertainty; this effect acts as an accelerator that potentiates its impact. It was evident that incorporating conjunctural issues - be it local or global - is indispensable when performing sentiment analysis in texts during extreme events. Moreover, failing to take conjunctural issues into account throughout the estimation process can result in variables with biased in-formation.

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来源期刊
Central Bank Review
Central Bank Review ECONOMICS-
CiteScore
5.10
自引率
0.00%
发文量
9
审稿时长
69 days
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