IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwbox/20198.html
   My bibliography  Save this paper

Auswirkungen globaler wirtschaftspolitischer Unsicherheit auf die deutsche Konjunktur

Author

Listed:
  • Ademmer, Martin
  • Beckmann, Joscha
  • Jannsen, Nils

Abstract

Die Konjunktur in Deutschland hat sich seit Beginn des Jahres 2018 spürbar eingetrübt. Gleichzeitig ist die globale wirtschaftspolitische Unsicherheit aufgrund verschiedener Ereignisse, wie den zunehmenden internationalen Handelskonflikten, deutlich gestiegen. Globale Unsicherheit kann die deutsche Konjunktur über mehrere Kanäle beeinflussen. So führt ein Anstieg der Unsicherheit tendenziell zu einer Verlangsamung der weltwirtschaftlichen Aktivität. Zudem wird die Investitionstätigkeit durch Unsicherheitsschübe typischerweise besonders stark beeinträchtigt . Da die deutschen Unternehmen exportorientiert und dabei vorwiegend auf Investitionsgüter spezialisiert sind, könnte die deutsche Wirtschaft somit besonders von Anstiegen der globalen Unsicherheit in Mitleidenschaft gezogen werden. In diesem Zusammenhang könnte sich auch die Erwartungshaltung seitens der Unternehmen verschlechtern und in der Folge die Investitionsbereitschaft hierzulande negativ beeinträchtigen. Vor diesem Hintergrund soll im Folgenden untersucht werden, in welchem Maße Schwankungen der globalen wirtschaftspolitischen Unsicherheit einen spürbaren Einfluss auf die deutsche Konjunktur ausüben.

Suggested Citation

  • Ademmer, Martin & Beckmann, Joscha & Jannsen, Nils, 2019. "Auswirkungen globaler wirtschaftspolitischer Unsicherheit auf die deutsche Konjunktur," Kiel Insight 2019.8, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwbox:20198
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/201187/1/ifw-box-2019-08.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Caggiano, Giovanni & Castelnuovo, Efrem & Groshenny, Nicolas, 2014. "Uncertainty shocks and unemployment dynamics in U.S. recessions," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 78-92.
    2. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    3. Jones, Paul M. & Enders, Walter, 2016. "The Asymmetric Effects Of Uncertainty On Macroeconomic Activity," Macroeconomic Dynamics, Cambridge University Press, vol. 20(5), pages 1219-1246, July.
    4. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    5. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    6. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    7. Andrew T. Foerster, 2014. "The asymmetric effects of uncertainty," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 5-26.
    8. Andrew T. Foerster, 2014. "The asymmetric effects of uncertainty on employment," Macro Bulletin, Federal Reserve Bank of Kansas City, pages 1-2, September.
    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. Boysen-Hogrefe, Jens & Fiedler, Salomon & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Mösle, Saskia, 2020. "Deutsche Konjunktur im Frühjahr 2020 - Deutsche Wirtschaft im Zeichen des Corona-V(irus) [German Economy Spring 2020 - German economy: V(irus)-shaped recession ahead]," Kieler Konjunkturberichte 65, Kiel Institute for the World Economy (IfW Kiel).

    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. Ademmer, Martin & Boysen-Hogrefe, Jens & Fiedler, Salomon & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Mösle, Saskia & Potjagailo, Galina, 2019. "Deutsche Konjunktur im Sommer 2019 - Deutsche Konjunktur im Sinkflug [German Economy Summer 2019 - German economy falters]," Kieler Konjunkturberichte 56, Kiel Institute for the World Economy (IfW Kiel).
    2. Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2019. "The impact of US uncertainty on the Euro area in good and bad times: evidence from a quantile structural vector autoregressive model," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 353-368, May.
    3. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    4. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    5. Massimo Ferrari Minesso & Frederik Kurcz & Maria Sole Pagliari, 2022. "Do words hurt more than actions? The impact of trade tensions on financial markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1138-1159, September.
    6. Reif Magnus, 2021. "Macroeconomic uncertainty and forecasting macroeconomic aggregates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-20, April.
    7. Shams, Syed & Gunaskerage, Abeyratna & Velayutham, Eswaran, 2022. "Economic policy uncertainty and acquisition performance: Australian evidence," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 286-308.
    8. Al-Thaqeb, Saud Asaad & Algharabali, Barrak Ghanim, 2019. "Economic policy uncertainty: A literature review," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    9. Alessandri, Piergiorgio & Mumtaz, Haroon, 2019. "Financial regimes and uncertainty shocks," Journal of Monetary Economics, Elsevier, vol. 101(C), pages 31-46.
    10. Gilles Dufrénot & William Ginn & Marc Pourroy, 2023. "ENSO Climate Patterns on Global Economic Conditions," AMSE Working Papers 2308, Aix-Marseille School of Economics, France.
    11. Laurent Ferrara & Pierre Guérin, 2018. "What are the macroeconomic effects of high‐frequency uncertainty shocks?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(5), pages 662-679, August.
    12. Ahmed Ali & Granberg Mark & Troster Victor & Uddin Gazi Salah, 2022. "Asymmetric dynamics between uncertainty and unemployment flows in the United States," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(1), pages 155-172, February.
    13. Gabriel Caldas Montes & Pedro Salgado, 2024. "Economic policy uncertainties and business confidence in Japan," Economics Bulletin, AccessEcon, vol. 44(1), pages 38-56.
    14. Steffen R. Henzel & Malte Rengel, 2017. "Dimensions Of Macroeconomic Uncertainty: A Common Factor Analysis," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 843-877, April.
    15. Lorenzo Bretscher & Alex Hsu & Andrea Tamoni, 2023. "The Real Response to Uncertainty Shocks: The Risk Premium Channel," Management Science, INFORMS, vol. 69(1), pages 119-140, January.
    16. Choi, Sangyup & Furceri, Davide & Huang, Yi & Loungani, Prakash, 2018. "Aggregate uncertainty and sectoral productivity growth: The role of credit constraints," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 314-330.
    17. Long, Shaobo & Pei, Hongxia & Tian, Hao & Li, Fangfang, 2021. "Asymmetric impacts of economic policy uncertainty, capital cost, and raw material cost on China’s investment," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 129-144.
    18. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Tran, Vuong Thao, 2018. "Can economic policy uncertainty predict stock returns? Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 134-150.
    19. Christou, Christina & Gupta, Rangan, 2020. "Forecasting equity premium in a panel of OECD countries: The role of economic policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 243-248.
    20. Redl, Chris, 2020. "Uncertainty matters: Evidence from close elections," Journal of International Economics, Elsevier, vol. 124(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:ifwbox:20198. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwkiede.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.