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Prognosegüte alternativer Frühindikatoren für die Konjunktur in Deutschland

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  • Benner, Joachim
  • Meier, Carsten-Patrick

Abstract

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 "Earlybird"-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

Suggested Citation

  • Benner, Joachim & Meier, Carsten-Patrick, 2003. "Prognosegüte alternativer Frühindikatoren für die Konjunktur in Deutschland," Kiel Working Papers 1139, Kiel Institute for the World Economy.
    • Handle: RePEc:zbw:ifwkwp:1139
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    References listed on IDEAS

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    1. Michael W. M. Roos, 2005. "TV Weather Forecast or Look through the Window? Expert and Consumer Expectations about Macroeconomic Conditions," Kyklos, Wiley Blackwell, vol. 58(3), pages 415-437, July.

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