2022
DOI: 10.2139/ssrn.4099997
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Central Bank Communication with the General Public: Promise or False Hope?

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Cited by 6 publications
(4 citation statements)
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“…Furthermore, forward-guiding its future path through the newspapers, etc., for the monetary authority is quite essential for the market participants and the public to understand their economic future. It is convenient for the policymakers to operate their policy by clarifying their policy objectives again (e.g., Blinder et al, 2024).…”
Section: Which Is the Correct Policy Tool Nominal Interest Rate Or Qu...mentioning
confidence: 99%
“…Furthermore, forward-guiding its future path through the newspapers, etc., for the monetary authority is quite essential for the market participants and the public to understand their economic future. It is convenient for the policymakers to operate their policy by clarifying their policy objectives again (e.g., Blinder et al, 2024).…”
Section: Which Is the Correct Policy Tool Nominal Interest Rate Or Qu...mentioning
confidence: 99%
“…. Because We All Are" or the literature survey by Blinder et al (2023). 18 See https://www.youtube.com/watch?v=UqDvv-1X3ms.…”
Section: E N D N O T E Smentioning
confidence: 99%
“…Owing to its simple structure, LDA can be easily applied as a dimension reduction tool and has been used with increasing frequency in the economics literature. 10 However, LDA (and unsupervised topic models, more generally) does not easily lend itself to our task because the objective here is to identify text related to a very specific, and relatively new, topic.…”
Section: Existing Approaches For "Topic Identification"mentioning
confidence: 99%
“…Examples include cases in which the topic of interest does not match with the factor structure of unsupervised methods or when there is no training data available 9 Grimmer and Stewart (2013) and Gentzkow, Kelly and Taddy (2019) provide surveys of this literature. 10 11 There are a variety of extensions that relax the strong assumptions of LDA, such as the dynamic topic model (Blei and Lafferty, 2006), the correlated topic model (Blei and Lafferty, 2005), or the structural topic model (Roberts, et al, 2013). While these methods may help with our specific application, they all are still limited by the fact that they are unsupervised.…”
Section: Existing Approaches For "Topic Identification"mentioning
confidence: 99%