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http://bura.brunel.ac.uk/handle/2438/30426| Title: | Indirect news coverage and economic policy uncertainty |
| Authors: | Xu, F Wu, J |
| Keywords: | textual analysis;semantic fingerprint;uncertainty |
| Issue Date: | 9-Jan-2025 |
| Publisher: | Elsevier |
| Citation: | Xu, F. and Wu, J. (2025). 'Indirect news coverage and economic policy uncertainty', Economics Letters, 247, 112135, pp. 1 - 5. doi: 10.1016/j.econlet.2024.112135. |
| Abstract: | This paper uses semantic fingerprints of news to measure news intensity for countries. Estimation results from DCC-GARCH models show that correlations between news intensity and economic uncertainty are mostly positive throughout time. The more relevant news about a country are published, the higher is the economic uncertainty in that country. News intensity also has a negative impact on correlations between uncertainty and inflation, and a positive impact on correlations between uncertainty and output growth. |
| Description: | Data availability:
The news intensity data underpinning this publication can be accessed
from Brunelfigshare: https://doi.org/10.17633/rd.brunel.27854760.The EPU data is obtained
from https://www.policyuncertainty.com. CPI and industrial production data are downloaded
from https://fred.stlouisfed.org JEL classification: D8; C3; C8. • Dataset link: https://doi.org/10.17633/rd.brunel.27854760, https://www.policyuncertainty.com, https://fred.stlouisfed.org |
| URI: | https://bura.brunel.ac.uk/handle/2438/30426 |
| DOI: | https://doi.org/10.1016/j.econlet.2024.112135 |
| ISSN: | 0165-1765 |
| Other Identifiers: | ORCiD: Fang Xu https://orcid.org/0000-0002-4878-2481 ORCiD: Jiaying Wu https://orcid.org/0000-0002-4818-5484 112135 |
| Appears in Collections: | Dept of Economics and Finance Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ). | 2.43 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
