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Prognosegüte alternativer Frühindikatoren für die Konjunktur in Deutschland

  • Joachim Benner

    ()

    (Universität Kiel)

  • Carsten-Patrick Meier

    ()

    (Universität Kiel)

Registered author(s):

    Untersuchungen zur Prognosegüte sollten nicht nur Prognosefehler, die auf der Schätzung der Parameter beruhen berücksichtigen, sondern auch solche, die aus der stichprobenabhängigen Auswahl des Prognosemodells resultieren. Wird die Prognosefehlervarianz durch rekursive Out-of-Sample Prognosen geschätzt, so sollte dabei nicht nur die Parameterschätzung, sondern auch die Modellselektion rekursiv vorgenommen werden. Wir wenden dieses Prinzip auf die Analyse der Prognosegüte dreier wichtiger Indikatoren für die Konjunktur in Deutschland an, den vom ifo-Institut erhobenen "Geschäftserwartungen", den vom Zentrum für Europäische Wirtschaftsforschung veröffentlichten "Konjunkturerwartungen" und des von der "Wirtschaftswoche" berechneten "Early bird "- Indikators. Es zeigt sich, dass die Prognosefehler bei der realistischeren rekursiven Modellauswahl größer sind als bei nicht-rekursiver Spezifikation. Die untersuchten Indikatoren liefern unter bestimmten Umständen bessere Prognosen als ein einfaches autoregressives Modell.

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    Article provided by Justus-Liebig University Giessen, Department of Statistics and Economics in its journal Journal of Economics and Statistics.

    Volume (Year): 224 (2004)
    Issue (Month): 6 (November)
    Pages: 639-652

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    Handle: RePEc:jns:jbstat:v:224:y:2004:i:6:p:639-652
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    5. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
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    8. Ulrich Fritsche, 1999. "Vorlaufeigenschaften von Ifo-Indikatoren für Westdeutschland," Discussion Papers of DIW Berlin 179, DIW Berlin, German Institute for Economic Research.
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