IDEAS home Printed from https://ideas.repec.org/a/ces/ifosdt/v66y2013i24p20-67.html
   My bibliography  Save this article

ifo Konjunkturprognose 2013/2014: Deutsche Konjunkturlokomotive kommt unter Dampf

Author

Listed:
  • Steffen Henzel
  • Wolfgang Nierhaus
  • Tim Oliver Berg
  • Christian Breuer
  • Kai Carstensen
  • Christian Grimme
  • Oliver Hülsewig
  • Atanas Hristov
  • Nikolay Hristov
  • Michael Kleemann
  • Wolfgang Meister
  • Johanna Garnitz
  • Elisabeth Wieland
  • Anna Wolf
  • Timo Wollmershäuser
  • Peter Zorn

Abstract

Am 17. Dezember 2013 stellte das ifo Institut im Rahmen seines vorweihnachtlichen Pressegesprächs seine Prognose für die Jahre 2013 und 2014 vor. Die gesamtwirtschaftliche Produktion in Deutschland wird sich im kommenden Jahr beschleunigen. Darauf deutet das ifo Geschäftsklima hin, das in den vergangenen Monaten eine deutliche Aufwärtstendenz gezeigt hat. Auch bessert sich das weltwirtschaftliche Umfeld. Die binnenwirtschaftlichen Rahmenbedingungen sind ebenfalls günstig. Die Unsicherheit bei den Unternehmen ist gesunken, und für die Anleger bleibt sie bei einer Auslandsanlage hinreichend hoch, um das Interesse an einer vergleichsweise sicheren Investition in Deutschland aufrechtzuerhalten. Die Einkommensperspektiven der privaten Haushalte sind gut. Vor diesem Hintergrund wird die konjunkturelle Expansion voraussichtlich von der Binnenwirtschaft getragen. Im Jahresdurchschnitt 2014 dürfte das reale Bruttoinlandsprodukt, bei einem Unsicherheitsintervall (2/3 Wahrscheinlichkeit) von 0,8% bis 3,0%, daher um 1,9% zunehmen.

Suggested Citation

  • 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.
  • Handle: RePEc:ces:ifosdt:v:66:y:2013:i:24:p:20-67
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/ifosd_2013_24_5.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Benhabib, Jess & Schmitt-Grohe, Stephanie & Uribe, Martin, 2001. "The Perils of Taylor Rules," Journal of Economic Theory, Elsevier, vol. 96(1-2), pages 40-69, January.
    2. 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.
    3. Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2014. "Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB's OMT Program," CESifo Working Paper Series 4628, CESifo.
    4. 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.
    5. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    6. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
    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. Evgenia Kudymowa & Klaus Wohlrabe, 2014. "Konjunkturtest im Fokus: Die Herstellung von Druckerzeugnissen; Vervielfältigung von bespielten Ton-, Bild- und Datenträgern," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(06), pages 31-35, March.
    2. Arno Städtler, 2014. "Investitionen klar auf Wachstumskurs – Leasingklima stark verbessert," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(06), pages 36-39, March.

    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. Luca Benati & Thomas A. Lubik, 2023. "Impulse Response Analysis at the Zero Lower Bound," Diskussionsschriften dp2306, Universitaet Bern, Departement Volkswirtschaft.
    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. Hartwig, Benny, 2020. "Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224528, Verein für Socialpolitik / German Economic Association.
    4. Henzel Steffen R. & Lehmann Robert & Wohlrabe Klaus, 2015. "Nowcasting Regional GDP: The Case of the Free State of Saxony," Review of Economics, De Gruyter, vol. 66(1), pages 71-98, April.
    5. Kim, Soohyeon & Kim, Jihyo & Heo, Eunnyeong, 2021. "Speculative incentives to hoard aluminum: Relationship between capital gains and inventories," Resources Policy, Elsevier, vol. 70(C).
    6. 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.
    7. 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.
    8. Steffen Henzel & Robert Lehmann & Klaus Wohlrabe, 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. Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
    10. Su, Chi-Wei & Qin, Meng & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Factors driving oil price —— from the perspective of United States," Energy, Elsevier, vol. 197(C).
    11. Marieh Azizirad, 2022. "Fisher vs Keynes: Does an Interest Rate Hike Cause Inflation to Increase or Decrease?," Discussion Papers dp22-08, Department of Economics, Simon Fraser University.
    12. Sun, Weihong & Liu, Ding, 2023. "Great moderation with Chinese characteristics: Uncovering the role of monetary policy," Economic Modelling, Elsevier, vol. 121(C).
    13. Hernán Rincón-Castro & Pedro Rubiano-López & Lisseth Yaya-Garzón & Héctor M. Zárate-Solano, 2021. "Traspaso de la tasa de cambio a la inflación básica en Colombia: un análisis de parámetros cambiantes en el tiempo," Borradores de Economia 1177, Banco de la Republica de Colombia.
    14. Michael Plante & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "The Zero Lower Bound and Endogenous Uncertainty," Economic Journal, Royal Economic Society, vol. 128(611), pages 1730-1757, June.
    15. Iiboshi, Hirokuni & Iwata, Yasuharu & Kajita, Yuto & Soma, Naoto, 2019. "Time-varying Fiscal Multipliers Identified by Systematic Component: A Bayesian Approach to TVP-SVAR model," MPRA Paper 92631, University Library of Munich, Germany.
    16. Lyu, Yongjian & Yi, Heling & Cao, Jin & Yang, Mo, 2022. "Time-varying monetary policy shocks and the dynamics of Chinese commodity prices," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    17. 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.
    18. 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.
    19. Sui, Yuelei & Holan, Scott H. & Yang, Wen-Hsi, 2023. "Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
    20. Robert Lehmann & Andreas Sharik & Michael Weber, 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.

    More about this item

    Keywords

    Konjunktur; Konjunkturumfrage; Konjunkturprognose; Wirtschaftslage; Geschäftsklima; Deutschland;
    All these keywords.

    JEL classification:

    • F01 - International Economics - - General - - - Global Outlook
    • O00 - Economic Development, Innovation, Technological Change, and Growth - - General - - - General

    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:66:y:2013:i:24:p:20-67. 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.