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Prognoseeigenschaften von Indikatoren zur Vorhersage des Bruttoinlandsprodukts in Deutschland

Author

Listed:
  • Steffen Henzel
  • Sebastian Rast

Abstract

Die Güte der Prognose der Veränderungsrate des BIP für das laufende und das kommende Quartal bestimmt entscheidend die Treffsicherheit jeder Konjunkturprognose. Am aktuellen Rand lassen sich dafür die Informationen aus monatlich veröffentlichten Konjunkturindikatoren nutzen. Für Deutschland gibt es eine Vielzahl solcher Indikatoren, und es stellt sich die Frage, welcher die besten Prognoseeigenschaften aufweist und damit das verlässlichste Signal zur aktuellen konjunkturellen Situation bereitstellt. In dem Artikel werden die gängigsten weichen Indikatoren für Deutschland bezüglich ihrer Prognosekraft für die Quartalswachstumsrate des BIP verglichen. Zudem wird der Informationsvorsprung dieser Indikatoren gegenüber dem Produktionsindex evaluiert.

Suggested Citation

  • Steffen Henzel & Sebastian Rast, 2013. "Prognoseeigenschaften von Indikatoren zur Vorhersage des Bruttoinlandsprodukts in Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(17), pages 39-46, September.
  • Handle: RePEc:ces:ifosdt:v:66:y:2013:i:17:p:39-46
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    File URL: https://www.cesifo-group.de/DocDL/ifosd_2013_17_4.pdf
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    References listed on IDEAS

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    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. Klaus Abberger & Klaus Wohlrabe, 2006. "Einige Prognoseeigenschaften des ifo Geschäftsklimas - Ein Überblick über die neuere wissenschaftliche Literatur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(22), pages 19-26, November.
    3. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methoden der ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
    4. Drechsel, Katja & Scheufele, Rolf, 2012. "The performance of short-term forecasts of the German economy before and during the 2008/2009 recession," International Journal of Forecasting, Elsevier, vol. 28(2), pages 428-445.
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    Citations

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    Cited by:

    1. Henzel Steffen R. & Wohlrabe Klaus & Lehmann Robert, 2015. "Nowcasting Regional GDP: The Case of the Free State of Saxony," Review of Economics, De Gruyter, vol. 66(1), pages 71-98, April.
    2. Steffen Henzel, 2015. "Prognosekraft des ifo Konjunkturtests – Einfluss der neuen Saisonbereinigung mit X-13ARIMA-SEATS," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(01), pages 59-63, January.
    3. Pirschel, Inske & Wolters, Maik H., 2014. "Forecasting German key macroeconomic variables using large dataset methods," Kiel Working Papers 1925, Kiel Institute for the World Economy (IfW).
    4. Timo Wollmershäuser, 2015. "Evaluation der ifo Konjunkturprognosen – ein Vergleich mit den Prognosen von Consensus Economics," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(22), pages 26-28, November.
    5. Steffen Henzel & Wolfgang Nierhaus & Tim Oliver Berg & Christian Breuer & Kai Carstensen & Christian Grimme & Oliver Hülsewig & Atanas Hristov & Nikolay Hristov & Michael Kleemann & Wolfgang Meister &, 2013. "ifo Konjunkturprognose 2013/2014: Deutsche Konjunkturlokomotive kommt unter Dampf," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(24), pages 20-67, December.
    6. repec:spr:empeco:v:55:y:2018:i:2:d:10.1007_s00181-017-1286-6 is not listed on IDEAS
    7. Timo Wollmershäuser & Wolfgang Nierhaus & Nikolay Hristov & Tim Oliver Berg & Christian Breuer & Johanna Garnitz & Christian Grimme & Atanas Hristov & Robert Lehmann & Wolfgang Meister & Magnus Reif &, 2016. "ifo Konjunkturprognose 2016/2017: Aufschwung in Deutschland geht in die zweite Halbzeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(12), pages 21-57, June.
    8. SteffenHenzel & RobertLehmann & KlausWohlrabe, 2015. "Die Machbarkeit von Kurzfristprognosen für den Freistaat Sachsen," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 22(04), pages 21-25, August.
    9. Steffen Henzel & Robert Lehmann & Klaus Wohlrabe, 2015. "Nowcasting Regional GDP: The Case of the Free State of Saxony," CESifo Working Paper Series 5336, CESifo Group Munich.
    10. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    11. RobertLehmann & AndreasSharik & MichaelWeber, 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.
    12. Christian Seiler & Klaus Wohlrabe, 2013. "Das ifo Geschäftsklima und die deutsche Konjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(18), pages 17-21, October.

    More about this item

    Keywords

    Sozialprodukt; Konjunkturprognose; Volkswirtschaftliche Gesamtrechnung; Deutschland;

    JEL classification:

    • H61 - Public Economics - - National Budget, Deficit, and Debt - - - Budget; Budget Systems
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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