The Role of the Media in the Inflation Expectation Formation Process
Tetiana Yukhymenko ()
Additional contact information
Tetiana Yukhymenko: National Bank of Ukraine
Visnyk of the National Bank of Ukraine, 2022, issue 253, 4-26
Abstract:
This research highlights the role played by the media in the formation of inflation expectations among various respondents in Ukraine. Using a large news corpus and machine-learning techniques, I have constructed newsbased metrics that produce quantitative indicators for texts, which show if the news topics are relevant to inflation expectations. I have found evidence that various news topics may have an impact on inflation expectations, and can explain part of their variance. Thus, my results could help in the analysis of inflation expectations – which is of value, given that anchoring inflation expectations remains a key challenge for central banks.
Keywords: inflation; machine learning; expectations; natural language processing; textual data (search for similar items in EconPapers)
JEL-codes: C55 C82 D84 E31 E58 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://journal.bank.gov.ua/en/article/2022/253/01 (text/html)
Related works:
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:ukb:journl:y:2022:i:253:p:4-26
DOI: 10.26531/vnbu2022.253.01
Access Statistics for this article
More articles in Visnyk of the National Bank of Ukraine from National Bank of Ukraine Contact information at EDIRC.
Bibliographic data for series maintained by Research Unit ().