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Der Erklärungsgehalt der regionalen ifo-Indikatoren am Beispiel der Industrie- und Bauumsätze

Author

Listed:
  • Robert Lehmann
  • Andreas Sharik
  • Michael Weber

Abstract

Der ifo Geschäftsklimaindex für die gewerbliche Wirtschaft Deutschlands gilt als wichtigster und meist-beachteter Frühindikator zur Beurteilung der aktuellen Konjunkturlage in Deutschland. Wenig bekannt ist, dass die ifo-Indikatoren auch für Ostdeutschland und Sachsen zur Verfügung stehen. Aufgrund der schlechteren Datenverfügbarkeit auf der subnationalen Ebene kommt den regionalen ifo-Indikatoren eine noch stärkere Bedeutung als Konjunkturindikatoren zu. Der vorliegende Artikel untersucht, ob die regional vom ifo Institut erhobenen Befragungsergebnisse einen Erklärungsgehalt für die branchen-spezifische Umsatzentwicklung aufweisen. Im Ergebnis wird deutlich, dass die ifo-Indikatoren ihre Aufgabe als Frühindikatoren auch im Verarbeitenden Gewerbe sowie im Bauhauptgewerbe in Ost-deutschland (mit Berlin) und Sachsen zuverlässig erfüllen.

Suggested Citation

  • Robert Lehmann & Andreas Sharik & Michael Weber, 2014. "Der Erklärungsgehalt der regionalen ifo-Indikatoren am Beispiel der Industrie- und Bauumsätze," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(04), pages 18-24, August.
    • Handle: RePEc:ces:ifodre:v:21:y:2014:i:04:p:18-24
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    References listed on IDEAS

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    1. Klaus Abberger & Wolfgang Nierhaus, 2010. "Markov-Switching and the Ifo Business Climate: the Ifo Business Cycle Traffic Lights," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-13.
    2. Steffen Henzel & Sebastian Rast, 2013. "Forecasting Properties of Indicators for Predicting GDP Growth in Germany," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(17), pages 39-46, September.
    3. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methods of the Ifo short-term forecast," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
    4. Klaus Abberger & Wolfgang Nierhaus, 2008. "Markov Switching and the Ifo Business Climate," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(10), pages 25-30, May.
    5. Steffen Elstner & Christian Grimme & Ulrich Haskamp, 2013. "The Ifo Export Climate – an Early Indicator for the German Export Forecast," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(04), pages 36-43, March.
    6. Anna Billharz & Steffen Elstner & Marcus Jüppner, 2012. "Ifo Short-Term Forecasting Methods Illustrated Using Investment in Equipment," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(21), pages 24-33, November.
    7. Klaus Abberger, 2008. "The Ifo Employment Barometer: A "pressure gauge" for the German labour market," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(09), pages 19-22, May.
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    Cited by:

    1. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    2. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.

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    More about this item

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L74 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Construction

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