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Die ifo Exporterwartungen – ein neuer Indikator zur Lage der Exportindustrie in Deutschland

Author

Listed:
  • Christian Grimme
  • Klaus Wohlrabe

Abstract

Um die aktuelle und zukünftige Entwicklung der Exportindustrie zu beobachten bzw. einzuschätzen, weist das ifo Institut seit November 2014 einen neuen Indikator aus: die ifo Exporterwartungen, die auf den ifo Konjunkturumfragen basieren. Sie haben einen Fokus auf der Exportindustrie, sind zeitnah verfügbar, werden nicht revidiert und geben einen sehr guten Überblick über die Entwicklungen im Exportsektor.

Suggested Citation

  • Christian Grimme & Klaus Wohlrabe, 2014. "Die ifo Exporterwartungen – ein neuer Indikator zur Lage der Exportindustrie in Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(23), pages 64-65, December.
  • Handle: RePEc:ces:ifosdt:v:67:y:2014:i:23:p:64-65
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    File URL: https://www.ifo.de/DocDL/ifosd_2014_23_7.pdf
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    Citations

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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. Stamer, Vincent, 2022. "Thinking Outside the Container: A Sparse Partial Least Squares Approach to Forecasting Trade Flows," VfS Annual Conference 2022 (Basel): Big Data in Economics 264096, Verein für Socialpolitik / German Economic Association.
    3. Hanslin Grossmann, Sandra & Scheufele, Rolf, 2015. "Foreign PMIs: A reliable indicator for Swiss exports," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112830, Verein für Socialpolitik / German Economic Association.
    4. Dr. Sandra Hanslin Grossmann & Dr. Rolf Scheufele, 2016. "Foreign PMIs: A reliable indicator for exports?," Working Papers 2016-01, Swiss National Bank.
    5. 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.
    6. Stamer, Vincent, 2021. "Thinking outside the container: A machine learning approach to forecasting trade flows," Kiel Working Papers 2179, Kiel Institute for the World Economy (IfW Kiel).

    More about this item

    Keywords

    Export; Exporterwartungen; Wirtschaftsindikator; Deutschland;
    All these keywords.

    JEL classification:

    • F10 - International Economics - - Trade - - - General
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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