Consumption, labor income uncertainty, and economic news coverage
Marcel Garz
MPRA Paper from University Library of Munich, Germany
Abstract:
In the past decade, weak household consumption was an important reason for low rates of overall economic growth in Germany. Many explanations for the weakness have been provided and investigated in previous studies, but the role of media-driven uncertainty has not been addressed. Therefore, this study examines the link between economic news coverage and aggregate consumption. Consumption, information-processing, and decision-making theory all serve to derive hypotheses, which are evaluated using time-series data and information obtained from media content analyses. For the period from 2001 to 2009, the results indicate that consumption is mainly influenced by the long-run effects of news coverage. In this regard, decisions to consume are subject to an optimism bias, such that favorable news leads to a stronger increase in consumption than the decrease caused by unfavorable news. Media effects are erratic in the short run though, because it takes time for households to identify new economic trends.
Keywords: Consumption; Uncertainty; News coverage (search for similar items in EconPapers)
JEL-codes: C32 D83 E21 (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/56076/1/MPRA_paper_56076.pdf original version (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:pra:mprapa:56076
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().