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Methoden der Konjunkturprognose

Author

Listed:
  • Wolfgang Nierhaus

    ()

  • Jan-Egbert Sturm

Abstract

Im Sommer und zum Jahresende veröffentlicht das ifo Institut seine Konjunkturprognosen für die Bundesrepublik Deutschland. Im Frühjahr und im Herbst nimmt es an der Gemeinschaftsdiagnose der sechs führenden Wirtschaftsforschungsinstitute teil. Der Beitrag beschreibt, welche makroökonomischen Aggregate prognostiziert werden und welche Methoden dabei angewandt werden. Im Einzelnen werden die ökonometrische Prognose, der Indikatoransatz und das iterativ-analytische Verfahren vorgestellt. Außerdem wird auf die besonderen Spezifika der ifo Konjunkturprognose eingegangen.

Suggested Citation

  • Wolfgang Nierhaus & Jan-Egbert Sturm, 2003. "Methoden der Konjunkturprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(04), pages 7-23, February.
  • Handle: RePEc:ces:ifosdt:v:56:y:2003:i:04:p:7-23
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    File URL: http://www.cesifo-group.de/DocDL/ifosd_2003_4_1.pdf
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    References listed on IDEAS

    as
    1. Wolfgang Nierhaus, 1998. "Praktische Methoden der Konjunkturprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 51(28), pages 07-19, October.
    2. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    3. Wolfgang Nierhaus, 1999. "Aus dem Instrumentenkasten der Konjunkturanalyse : Veränderungen im Vergleich," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 52(27), pages 11-19, October.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    5. Hirotugu Akaike, 1969. "Fitting autoregressive models for prediction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 21(1), pages 243-247, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Berlemann, Michael & Vogt, Gerit, 2007. "Kurzfristige Wachstumseffekte von Naturkatastrophen," Working Paper 69/2007, Helmut Schmidt University, Hamburg.
    2. Andreas Brunhart, 2013. "Der Klein(st)staat Liechtenstein und seine grossen Nachbarländer: Eine wachstums- und konjunkturanalytische Gegenüberstellung," Arbeitspapiere 44, Liechtenstein-Institut.
    3. Klaus Abberger & Gebhard Flaig & Wolfgang Nierhaus, 2007. "ifo Konjunkturumfragen und Konjunkturanalyse : ausgewählte methodische Aufsätze aus dem ifo Schnelldienst," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 33.
    4. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.
    5. Wolfgang Nierhaus, 2005. "Wirtschaftskonjunktur 2004: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(03), pages 26-30, February.
    6. Wolfgang Nierhaus, 2013. "Konjunkturprognosen heute – Möglichkeiten und Probleme," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(01), pages 25-32, January.
    7. Jan Jacobs & Jan-Egbert Sturm, 2004. "Do Ifo Indicators Help Explain Revisions in German Industrial Production?," CESifo Working Paper Series 1205, CESifo Group Munich.
    8. Stephan Sauer & Jan-Egbert Sturm, 2003. "Using Taylor Rules to Understand ECB Monetary Policy," CESifo Working Paper Series 1110, CESifo Group Munich.
    9. Anna Billharz & Steffen Elstner & Marcus Jüppner, 2012. "Methoden der ifo Kurzfristprognose am Beispiel der Ausrüstungsinvestitionen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(21), pages 24-33, November.
    10. Stephan Sauer & Jan-Egbert Sturm, 2007. "Using Taylor Rules to Understand European Central Bank Monetary Policy," German Economic Review, Verein für Socialpolitik, vol. 8, pages 375-398, August.
    11. Wolfgang Nierhaus, 2008. "Prognosestopp – ja oder nein?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(24), pages 1-83, December.
    12. Klaus Abberger & Wolfgang Nierhaus, 2007. "Das ifo Geschäftsklima und Wendepunkte der deutschen Konjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 60(03), pages 26-31, February.
    13. Steffen Elstner & Christian Grimme & Ulrich Haskamp, 2013. "Das ifo Exportklima – ein Frühindikator für die deutsche Exportprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(04), pages 36-43, March.
    14. Joachim Ragnitz & Stefan Arent & Wolfgang Nierhaus & Beate Schirwitz & Johannes Steinbrecher & Gerit Vogt & Björn Ziegenbalg, 2010. "Methodenexpertise zur Analyse der Auswirkungen der internationalen Finanz- und Wirtschaftskrise auf die Wirtschaft im Land Brandenburg : Gutachten im Auftrag des Ministeriums für Wirtschaft des Landes," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 53, October.
    15. Ulrich Heilemann & Susanne Schnorr-Bäcker, 2016. "Could The Start Of The German Recession 2008-2009 Have Been Foreseen? Evidence From Real-Time Data," Working Papers 2016-003, The George Washington University, Department of Economics, Research Program on Forecasting.
    16. Michael Groemling, 2005. "Konjunkturprognosen – Verfahren, Erfolgskontrolle und Prognosefehler," Departmental Discussion Papers 123, University of Goettingen, Department of Economics.
    17. Oliver Hülsewig & Johannes Mayr & Dirk Ulbricht, 2007. "Zur Evaluierung von VAR-Prognosen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 60(07), pages 19-25, April.
    18. repec:ces:ifosdt:v:61:y:2008:i:24:p:83-83 is not listed on IDEAS
    19. Döhrn Roland & Schmidt Christoph M., 2011. "Information or Institution?: On the Determinants of Forecast Accuracy," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 9-27, February.
    20. Gerit Vogt, 2010. "Zur Güte der ifo Dresden Konjunkturprognosen," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(01), pages 28-32, 02.
    21. Georg Goldrian, 2003. "Kurzfristige Branchenprognosen auf Basis von Ergebnissen des ifo Konjunkturtests," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(08), pages 31-33, April.
    22. Goodhart Charles A.E., 2005. "The Monetary Policy Committee's Reaction Function: An Exercise in Estimation," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-42, August.
    23. Wolfgang Nierhaus, 2005. "Zur Einführung der Vorjahrespreisbasis in der deutschen Statistik: Konsequenzen für die Konjunkturanalyse," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(05), pages 19-27, March.
    24. Goodhart, Charles, 2004. "The Monetary Policy Committee's reaction function: an exercise in estimation," LSE Research Online Documents on Economics 24708, London School of Economics and Political Science, LSE Library.

    More about this item

    Keywords

    Konjunkturprognose; Wissenschaftliche Methode;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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