How you say it matters : text analysis of FOMC statements using natural language processing
Year of publication: |
2021
|
---|---|
Authors: | Doh, Taeyoung ; Kim, Sungil ; Yang, Shu-Kuei |
Published in: |
Economic review. - Kansas City, Mo. : [Verlag nicht ermittelbar], ISSN 0161-2387, ZDB-ID 862014-3. - Vol. 106.2021, 1, p. 25-40
|
Subject: | Offenmarktpolitik | Open market operations | Geldpolitik | Monetary policy | Text | Sprachverarbeitung | Speech processing | Politische Kommunikation | Political communication | USA | United States | 2004-2014 |
-
Transparency and deliberation within the FOMC : a computational linguistics approach
Hansen, Stephen, (2014)
-
Transparency and deliberation within the FOMC : a computational linguistics approach
Hansen, Stephen, (2014)
-
Transparency and deliberation within the FOMC : a computational linguistics approach
Hansen, Stephen, (2014)
- More ...
-
Deciphering Federal Reserve Communication via Text Analysis of Alternative FOMC Statements
Doh, Taeyoung, (2022)
-
Deciphering Federal Reserve communication via text analysis of alternative FOMC statements
Doh, Taeyoung, (2020)
-
The Economic Effects of a Rapid Increase in the Minimum Wage : Evidence from South Korea Experiments
Doh, Taeyoung, (2022)
- More ...