This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The Role of Media for Consumers' Inflation Expectation Formation

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Michael J. Lamla () (KOF Swiss Economic Institute, ETH Zurich, Switzerland)
Sarah M. Lein () (KOF Swiss Economic Institute, ETH Zurich, Switzerland)

Additional information is available for the following registered author(s):

Abstract

This paper analyzes the impact of the media on consumers' inflation expectations. We distinguish two channels through which media can influence expectations. First, the intensity of news coverage on inflation plays a role (volume channel). Second, the content of these reports matters (tone channel). Employing a unique data set capturing media reports on inflation in Germany comprising 01/1998-12/2006 we are able to discriminate between these two effects. We find that the volume effect generally improves the accuracy of consumer forecasts while the tone channel induces a media bias.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.kof.ethz.ch/publications/science/pdf/wp_201.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by KOF Swiss Economic Institute, ETH Zurich in its series KOF Working papers with number 08-201.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 31 pages
Date of creation: Jun 2008
Date of revision:
Handle: RePEc:kof:wpskof:08-201

Contact details of provider:
Postal: Weinbergstrasse 35, CH-8092 Z�rich
Phone: +41 44 632 41 28
Fax: +41 44 632 12 18
Email:
Web page: http://www.kof.ethz.ch
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords: Monetary policy; expectation formation; media coverage; media bias;

Other versions of this item:

Find related papers by JEL classification:
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information

This paper has been announced in the following NEP Reports:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
  1. Sarah M. Lein & Thomas Maag, 2008. "The Formation of Inflation Perceptions – Some Empirical Facts for European Countries," KOF Working papers 08-204, KOF Swiss Economic Institute, ETH Zurich. [Downloadable!]
  2. Thomas Maag & Michael J. Lamla, 2009. "The Role of Media for Inflation Forecast Disagreement of Households and Professionals," KOF Working papers 09-223, KOF Swiss Economic Institute, ETH Zurich. [Downloadable!]
  3. Pfajfar, D. & Santoro, E., 2008. "Asymmetries in Inflation Expectation Formation Across Demographic Groups," Cambridge Working Papers in Economics 0824, Faculty of Economics, University of Cambridge. [Downloadable!]
Statistics
Access and download statistics

Did you know? All full texts are decentralized with the publishers, none reside on this server, thus making it possible to offer this service for free to all parties.

This page was last updated on 2009-12-1.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.