IDEAS home Printed from https://ideas.repec.org/p/diw/diwwpp/dp1490.html
   My bibliography  Save this paper

Asymmetric Perceptions of the Economy: Media, Firms, Consumers, and Experts

Author

Listed:
  • Konstantin A. Kholodilin
  • Christian Kolmer
  • Tobias Thomas
  • Dirk Ulbricht

Abstract

This article sheds light on the interaction of media, economic actors, and economic experts. Based on a unique data set of 86,000 news items rated by professional analysts of Media Tenor International and survey data, we first analyze the overall tone of the media, consumers’, firms’, and economic experts’ opinions on the state and outlook of the economy. Second, we assess the protagonist’s ability at correctly predicting GDP. Third, we use Granger causality tests to uncover who is influencing whom when it comes to the formation of opinions on the economy. We find that media reports have a significant negative bias. The economic sentiment of the media, consumers and firms does not reflect the actual situation. Finally, we find that media sentiment is not influenced by any other actor. In contrast, media appear to affect all other actors.

Suggested Citation

  • Konstantin A. Kholodilin & Christian Kolmer & Tobias Thomas & Dirk Ulbricht, 2015. "Asymmetric Perceptions of the Economy: Media, Firms, Consumers, and Experts," Discussion Papers of DIW Berlin 1490, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1490
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.508116.de/dp1490.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jan Grossarth-Maticek & Johannes Mayr, 2008. "Medienberichte als Konjunkturindikator," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(07), pages 17-29, April.
    2. Dirk Ulbricht & Konstantin A. Kholodilin & Tobias Thomas, 2017. "Do Media Data Help to Predict German Industrial Production?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 483-496, August.
    3. Bernhardt, Dan & Krasa, Stefan & Polborn, Mattias, 2008. "Political polarization and the electoral effects of media bias," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1092-1104, June.
    4. Tim Groseclose & Jeffrey Milyo, 2005. "A Measure of Media Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(4), pages 1191-1237.
    5. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    6. Klaus Abberger, 2007. "Forecasting Quarter-on-Quarter Changes of German GDP with Monthly Business Tendency Survey Results," ifo Working Paper Series 40, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Justus Haucap & Tobias Thomas & Gert G. Wagner, 2015. "Zu wenig Einfluss des ökonomischen Sachverstands? Empirische Befunde zum Einfluss von Ökonomen und anderen Wissenschaftlern auf die Wirtschaftspolitik," Discussion Papers of DIW Berlin 1449, DIW Berlin, German Institute for Economic Research.
    8. Schröder, Michael & Hüfner, Felix P., 2002. "Forecasting economic activity in Germany: how useful are sentiment indicators?," ZEW Discussion Papers 02-56, ZEW - Leibniz Centre for European Economic Research.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ralf Dewenter & Ulrich Heimeshoff & Tobias Thomas, 2016. "Media Coverage and Car Manufacturers' Sales," Economics Bulletin, AccessEcon, vol. 36(2), pages 976-982.
    2. Brandt, Richard, 2021. "Economic Policy Uncertainty Index: Extension and optimization of Scott R. Baker, Nicholas Bloom and Steven J. Davis's search term," DoCMA Working Papers 5, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).
    3. Céline Bonnet & Jan Philip Schain, 2020. "An Empirical Analysis Of Mergers: Efficiency Gains And Impact On Consumer Prices," Journal of Competition Law and Economics, Oxford University Press, vol. 16(1), pages 1-35.
    4. Müller, Henrik & Hornig, Nico, 2020. ""I heard the News today, oh Boy": An updated Version of our Uncertainty Perception Indicator (UPI) – and some general thoughts on news-based economic indicators," DoCMA Working Papers 2-2020, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023. "Measuring partisan media bias in US newscasts from 2001 to 2012," European Journal of Political Economy, Elsevier, vol. 78(C).
    2. Ralf Dewenter & Uwe Dulleck & Tobias Thomas, 2020. "Does the 4th estate deliver? The Political Coverage Index and its application to media capture," Constitutional Political Economy, Springer, vol. 31(3), pages 292-328, September.
    3. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2020. "Watchdog or loyal servant? Political media bias in US newscasts," DICE Discussion Papers 348, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    4. Robert Lehmann & Antje Weyh, 2016. "Forecasting Employment in Europe: Are Survey Results Helpful?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 81-117, September.
    5. Dewenter, Ralf & Dulleck, Uwe & Thomas, Tobias, 2018. "The political coverage index and its application to government capture," Research Papers 6, EcoAustria – Institute for Economic Research.
    6. Larcinese, Valentino & Puglisi, Riccardo & Snyder, James M., 2011. "Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers," Journal of Public Economics, Elsevier, vol. 95(9), pages 1178-1189.
    7. Piolatto, Amedeo & Schuett, Florian, 2015. "Media competition and electoral politics," Journal of Public Economics, Elsevier, vol. 130(C), pages 80-93.
    8. Dewenter, Ralf & Linder, Melissa & Thomas, Tobias, 2018. "Can Media Drive the Electorate? The Impact of Media Coverage on Party Affiliation and Voting Intentions," Working Paper 179/2018, Helmut Schmidt University, Hamburg.
    9. John Duggan & César Martinelli, 2008. "The Role of Media Slant in Elections and Economics," Wallis Working Papers WP54, University of Rochester - Wallis Institute of Political Economy.
    10. Hüfner, Felix P. & Lahl, David, 2003. "What Determines the ZEW Indicator?," ZEW Discussion Papers 03-48, ZEW - Leibniz Centre for European Economic Research.
    11. Petrova, Maria, 2012. "Mass media and special interest groups," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 17-38.
    12. Benesch, Christine & Loretz, Simon & Stadelmann, David & Thomas, Tobias, 2019. "Media coverage and immigration worries: Econometric evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 160(C), pages 52-67.
    13. Alejandro Castañeda & César Martinelli, 2018. "Politics, entertainment and business: a multisided model of media," Public Choice, Springer, vol. 174(3), pages 239-256, March.
    14. Junze Sun & Arthur Schram & Randolph Sloof, 2019. "A Theory on Media Bias and Elections," Tinbergen Institute Discussion Papers 19-048/I, Tinbergen Institute.
    15. Stadelmann, David & Thomas, Tobias & Zakharov, Nikita, 2023. "Too hot to play it cool? Temperature and media bias," DICE Discussion Papers 408, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    16. Sobbrio, Francesco, 2009. "Indirect Lobbying and Media Bias," MPRA Paper 18215, University Library of Munich, Germany.
    17. Riccardo Puglisi & James M. Snyder Jr., 2015. "The Balanced Us Press," Journal of the European Economic Association, European Economic Association, vol. 13(2), pages 240-264, April.
    18. Benjamin Beckers & Konstantin A. Kholodilin & Dirk Ulbricht, 2017. "Reading between the Lines: Using Media to Improve German Inflation Forecasts," Discussion Papers of DIW Berlin 1665, DIW Berlin, German Institute for Economic Research.
    19. John Duggan & Cesar Martinelli, 2008. "Rational Expectations and Media Slant," Levine's Bibliography 122247000000001844, UCLA Department of Economics.
    20. Sobbrio, Francesco, 2009. "A Citizens-Editors Model of News Media," MPRA Paper 18213, University Library of Munich, Germany.

    More about this item

    Keywords

    media bias; consensus forecasts; consumer and business sentiment;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:diw:diwwpp:dp1490. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/diwbede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.