What's in the News? A New Economic Indicator
Adam Shapiro and
Daniel Wilson
FRBSF Economic Letter, 2017
Abstract:
Newspaper articles and editorials about the economy do more than just report on official data releases. They also often convey how the journalist and those interviewed feel about the economy. Researchers have recently developed ways to extract data on sentiment from news articles using text analysis and machine learning techniques. These measures of news sentiment track current economic conditions quite well. In fact, they often do a better job than standard consumer sentiment surveys at forecasting future economic conditions.
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.frbsf.org/economic-research/files/el2017-10.pdf Full text (application/pdf)
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:fip:fedfel:00125
Ordering information: This journal article can be ordered from
Access Statistics for this article
More articles in FRBSF Economic Letter from Federal Reserve Bank of San Francisco Contact information at EDIRC.
Bibliographic data for series maintained by Federal Reserve Bank of San Francisco Research Library ().