央行在社交媒体上的沟通:什么,对谁,怎么做?

IF 9.9 3区 经济学 Q1 ECONOMICS
Yuriy Gorodnichenko , Tho Pham , Oleksandr Talavera
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引用次数: 0

摘要

这项研究回答了关于央行在Twitter上沟通的三个问题:沟通了什么,谁是听众,以及他们如何反应。使用各种自然语言处理技术,我们确定了美联储和主要受众讨论的主要话题。虽然美联储谈论央行话题的推文吸引了更多推特用户的关注,但只有这种广泛的差距才具有经济意义。在所有用户群体中,媒体账户和经济学家在与美联储互动方面最为活跃,尤其是在讨论与央行相关的问题时。我们还表明,从推特中提取的信息可以为通胀预期提供实时、定性的诊断,以及这些基于推特的通胀预期对政策行动和沟通的一些反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Central bank communication on social media: What, to whom, and how?

This study answers three questions about central bank communication on Twitter

: what was communicated, who were listeners, and how they reacted. Using various natural language processing techniques, we identify the main topics discussed by the Fed and major audiences. While the Fed tweets talking about central banking topics attract greater attention from Twitter users, only the extensive margin is economically meaningful. Among all groups of users, the media accounts and economists are most active in engaging with the Fed, especially when discussing central banking-related issues. We also show that information extracted from the tweets can provide a real-time, qualitative diagnostic for inflation expectations and some reaction of these Twitter-based inflation expectations to policy action and communication.
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来源期刊
Journal of Econometrics
Journal of Econometrics 社会科学-数学跨学科应用
CiteScore
8.60
自引率
1.60%
发文量
220
审稿时长
3-8 weeks
期刊介绍: The Journal of Econometrics serves as an outlet for important, high quality, new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with identification, estimation, testing, decision, and prediction issues encountered in economic research. Classical Bayesian statistics, and machine learning methods, are decidedly within the range of the Journal''s interests. The Annals of Econometrics is a supplement to the Journal of Econometrics.
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