Transparency and deliberation within the FOMC: a computational linguistics approach

By Stephen Hansen, Michael McMahon, Andrea Prat. 2014

563 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/8626aa5090ad9309c5de32e00b5c68eb751d1df1

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Citations in the corpus

Shocking language: understanding the macroeconomic effects of central bank communication (2016, unknown): “…to examine the concept of “sense-making” on the FOMC; Acosta (2015) looks at how the FOMC responded to calls for greater transparency; and our own recent work examining the effect of transparency on the deliberation of the FOMC using LDA applied to FOMC transcripts (Hansen, McMahon, and Prat 2014).”
Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models (2023, unknown): “…and Wu (2013), Campbell et al. (2014), Hoberg and Phillips (2016), Gaulin (2017), Baker, Bloom, and Davis (2016), Manela and Moreira (2017), Hansen, McMahon, and Prat (2018), Ke, Kelly, and Xiu (2019), Ke, Montiel Olea, and Nesbit (2019), Bybee et al. (2019), Gu, Kelly, and Xiu (2020),…”
The Evolution of Work in the United States (2020, unknown): “See Fligstein et al. (2014) and Hansen et al. (2018).”
Dissecting Climate Risks: Are they Reflected in Stock Prices? (2021, background): “Denoting the topic allocation of word n in document d by zd,n, the conditional distribution of zd,n given all other word-topic assignments z−(d,n) and the vector of words w in all documents is given by (Hansen et al., 2017)”
The Voice of Monetary Policy (2021, unknown): “Textual analyses of policy statements, minutes, and transcripts (e.g., Rozkrut et al., 2007; Hansen and McMahon, 2016; Hansen et al., 2018; Cieslak et al., 2019; Ehrmann and Talmi, 2020) suggest that central bankers’ words carry considerable weight,3 but little is known about the effects of their no”
Text as Data (2017, background): “Hansen, McMahon, and Prat (2018) research how FOMC transparency affects debate during meetings by studying a change in disclosure policy.”