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Medienberichte als Konjunkturindikator

Author

Listed:
  • Jan Grossarth-Maticek
  • Johannes Mayr

Abstract

Die Studie untersucht, in wie weit neben den klassischen monatlichen Konjunkturindikatoren, wie dem ifo Geschäftsklimaindex, der Industrieproduktion oder den Auftragseingängen in der Industrie, auch die Medienberichterstattung über die konjunkturelle Entwicklung selbst als Indikator der realen Konjunktur dienen kann. Es werden Indikatoren auf Basis von Medienberichten generiert und bezüglich ihrer Eigenschaft als Prognoseinstrumente der konjunkturellen Entwicklung analysiert. Ein Vergleich mit dem ifo Geschäftsklimaindex zeigt, dass die auf Medienberichte basierenden Indikatoren durchaus Prognosequalitäten für reale gesamtwirtschaftliche Entwicklungen aufweisen können.

Suggested Citation

  • 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.
    • Handle: RePEc:ces:ifosdt:v:61:y:2008:i:07:p:17-29
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. David Iselin & Boriss Siliverstovs, 2013. "Using Newspapers for Tracking the Business Cycle," KOF Working papers 13-337, KOF Swiss Economic Institute, ETH Zurich.
    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. 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.
    4. 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.
    5. Petar Soric & Ivana Lolic, 2017. "Economic uncertainty and its impact on the Croatian economy," Public Sector Economics, Institute of Public Finance, vol. 41(4), pages 443-477.
    6. Čižmešija Mirjana & Sorić Petar & Lolić Ivana, 2017. "The interrelationship between media reports and the recession in Croatia," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 3(1), pages 16-34, June.
    7. Pirschel, Inske, 2016. "Forecasting euro area recessions in real-time," Kiel Working Papers 2020, Kiel Institute for the World Economy.

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    Keywords

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    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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