IDEAS home Printed from https://ideas.repec.org/a/ces/ifosdt/v70y2017i02p72-78.html
   My bibliography  Save this article

Wirtschaftskonjunktur 2016: Prognose und Wirklichkeit

Author

Listed:
  • Wolfgang Nierhaus

Abstract

Das ifo Institut beleuchtet seit Jahren kritisch die Güte der eigenen Konjunkturprognosen. In dem Beitrag wird die ifo Prognose vom Dezember 2015 für das vergangene Jahr vor dem Hintergrund der jüngst veröffentlichten Ergebnisse der Volkswirtschaftlichen Gesamtrechnungen für 2016 diskutiert. Zudem wird auf die Prognosequalität des Instituts im langjährigen Durchschnitt eingegangen.

Suggested Citation

  • Wolfgang Nierhaus, 2017. "Wirtschaftskonjunktur 2016: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(02), pages 72-78, January.
  • Handle: RePEc:ces:ifosdt:v:70:y:2017:i:02:p:72-78
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/sd-2017-02-nierhaus-prognosewert-2017-01-26.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klaus Abberger & Wolfgang Nierhaus, 2010. "Markov-Switching and the Ifo Business Climate: the Ifo Business Cycle Traffic Lights," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-13.
    2. Chatfield, Chris, 1993. "Calculating Interval Forecasts: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 143-144, April.
    3. Chatfield, Chris, 1993. "Calculating Interval Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 121-135, April.
    4. Robert Lehmann & Wolfgang Nierhaus & Magnus Reif, 2016. "Eine Flash-Schätzung für die privaten Konsumausgaben in Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(21), pages 36-41, November.
    5. 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.
    6. Stephen K. McNees, 1988. "How accurate are macroeconomic forecasts?," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 15-36.
    7. Wolfgang Nierhaus & Klaus Abberger, 2015. "ifo Konjunkturampel revisited," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(05), pages 27-32, March.
    8. Emile Grunberg & Franco Modigliani, 1954. "The Predictability of Social Events," Journal of Political Economy, University of Chicago Press, vol. 62(6), pages 465-465.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wolfgang Nierhaus, 2018. "Wirtschaftskonjunktur 2017: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(03), pages 35-42, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wolfgang Nierhaus, 2019. "Wirtschaftskonjunktur 2018: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(03), pages 22-29, February.
    2. 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.
    3. Wolfgang Nierhaus, 2020. "Wirtschaftskonjunktur 2019: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(01), pages 51-57, January.
    4. Wolfgang Nierhaus, 2018. "Wirtschaftskonjunktur 2017: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(03), pages 35-42, February.
    5. 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.
    6. repec:lan:wpaper:470 is not listed on IDEAS
    7. 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.
    8. Timo Wollmershäuser & Wolfgang Nierhaus & Nikolay Hristov & Dorine Boumans & Johanna Garnitz & Marcell Göttert & Christian Grimme & Stefan Lauterbacher & Robert Lehmann & Wolfgang Meister & Magnus Rei, 2016. "ifo Konjunkturprognose 2016–2018: Robuste deutsche Konjunktur vor einem Jahr ungewisser internationaler Wirtschaftspolitik," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(24), pages 28-73, December.
    9. Wolfgang Nierhaus, 2015. "Wirtschaftskonjunktur 2014: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(02), pages 43-49, January.
    10. Wolfgang Nierhaus, 2016. "Wirtschaftskonjunktur 2015: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(03), pages 34-40, February.
    11. repec:lan:wpaper:425 is not listed on IDEAS
    12. repec:lan:wpaper:539557 is not listed on IDEAS
    13. repec:lan:wpaper:413 is not listed on IDEAS
    14. Timo Wollmershäuser & Marcell Göttert & Christian Grimme & Carla Krolage & Stefan Lautenbacher & Robert Lehmann & Sebastian Link & Wolfgang Nierhaus & Ann-Christin Rathje & Magnus Reif & Radek Šauer &, 2018. "ifo Konjunkturprognose Winter 2018: Deutsche Konjunktur kühlt sich ab," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(24), pages 28-82, December.
    15. Timo Wollmershäuser & Silvia Delrio & Clemens Fuest & Marcell Göttert & Christian Grimme & Carla Krolage & Stefan Lautenbacher & Robert Lehmann & Wolfgang Nierhaus & Andreas Peichl & Magnus Reif & Rad, 2017. "ifo Konjunkturprognose 2017–2019: Deutsche Wirtschaft auf dem Weg in die Hochkonjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(24), pages 28-81, December.
    16. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    17. Berrin Aytac & S. Wu, 2013. "Characterization of demand for short life-cycle technology products," Annals of Operations Research, Springer, vol. 203(1), pages 255-277, March.
    18. Wolfgang Nierhaus, 2014. "Wirtschaftskonjunktur 2013: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(02), pages 41-46, January.
    19. Lee, Yun Shin & Scholtes, Stefan, 2014. "Empirical prediction intervals revisited," International Journal of Forecasting, Elsevier, vol. 30(2), pages 217-234.
    20. Charles, Amelie & Darne, Olivier & Kim, Jae, 2016. "Stock Return Predictability: Evaluation based on Prediction Intervals," MPRA Paper 70143, University Library of Munich, Germany.
    21. Dhaoui, Iyad, 2015. "Climat des Affaires et Compétitivité de l’Entreprise Tunisienne Après la Révolution : Analyses et Perspectives [Business Climate and Competitiveness of the Tunisian Enterprise After the Revolution:," MPRA Paper 87331, University Library of Munich, Germany.
    22. Pascual, Lorenzo & Romo, Juan & Ruiz, Esther, 2005. "Bootstrap prediction intervals for power-transformed time series," International Journal of Forecasting, Elsevier, vol. 21(2), pages 219-235.
    23. Li, Yushu & Andersson, Jonas, 2014. "A Likelihood Ratio and Markov Chain Based Method to Evaluate Density Forecasting," Discussion Papers 2014/12, Norwegian School of Economics, Department of Business and Management Science.
    24. Klaus Abberger, 2006. "Kernel smoothed prediction intervals for ARMA models," Statistical Papers, Springer, vol. 47(1), pages 1-15, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ifosdt:v:70:y:2017:i:02:p:72-78. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/ifooode.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.