Whatever it Takes to Understand a Central Banker – Embedding their Words Using Neural Networks

Johannes Zahner and Martin Baumgärtner

VfS Annual Conference 2022 (Basel): Big Data in Economics from Verein für Socialpolitik / German Economic Association

JEL-codes: C45 C53 E52 Z13 (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-big, nep-cba, nep-cmp and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/264019/1/vfs-2022-pid-69468.pdf (application/pdf)

Related works:
Working Paper: Whatever it takes to understand a central banker: Embedding their words using neural networks (2023)
Working Paper: Whatever it takes to understand a central banker - Embedding their words using neural networks (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:vfsc22:264019

Access Statistics for this paper

More papers in VfS Annual Conference 2022 (Basel): Big Data in Economics from Verein für Socialpolitik / German Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().