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Projektion der Wirtschaftsentwicklung bis 2023: Wachstum auf des Messers Schneide

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  • Barabas, György
  • Jessen, Robin
  • Schmidt, Torsten
  • Weyerstraß, Klaus

Abstract

Das Wachstum des Produktionspotenzials in Deutschland wird in der mittleren Frist zunehmend von der demografischen Entwicklung gebremst. Ältere Bevölkerungsgruppen mit einer zwar steigenden, aber weiterhin vergleichsweise niedrigen Erwerbsbeteiligung gewinnen zunehmend an Bedeutung. In dieser Projektion schätzen wir, dass das Produktionspotenzial bis zum Jahr 2023 um 1,3% pro Jahr steigen wird, wobei die Raten im Verlauf des Projektionszeitraums abnehmen. Die daraus abgeleitete Mittelfristprojektion geht davon aus, dass sich der Aufschwung zwar fortsetzt, die Gesamtwirtschaftliche Expansion sich aber parallel zum schwächeren Anstieg des Produktionspotenzials markant abschwächen wird. Die Anfälligkeit der deutschen Wirtschaft für außenwirtschaftliche Störungen nimmt damit zu.

Suggested Citation

  • Barabas, György & Jessen, Robin & Schmidt, Torsten & Weyerstraß, Klaus, 2018. "Projektion der Wirtschaftsentwicklung bis 2023: Wachstum auf des Messers Schneide," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 69(4), pages 23-38.
    • Handle: RePEc:zbw:rwikon:193152
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    References listed on IDEAS

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    1. Claessens, Stijn & Kose, M. Ayhan & Terrones, Marco E., 2012. "How do business and financial cycles interact?," Journal of International Economics, Elsevier, vol. 87(1), pages 178-190.
    2. Jean-Marc Burniaux & Romain Duval & Florence Jaumotte, 2004. "Coping with Ageing: A Dynamic Approach to Quantify the Impact of Alternative Policy Options on Future Labour Supply in OECD Countries," OECD Economics Department Working Papers 371, OECD Publishing.
    3. Döhrn, Roland & Barabas, György & Blagov, Boris & Fuest, Angela & Jäger, Philipp & Jessen, Robin & Micheli, Martin & Rujin, Svetlana & Schmidt, Torsten, 2018. "Deutsche Konjunktur im Zeichen der Automobilindustrie," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 69(4), pages 5-22.
    4. Karel Havik & Kieran Mc Morrow & Fabrice Orlandi & Christophe Planas & Rafal Raciborski & Werner Roeger & Alessandro Rossi & Anna Thum-Thysen & Valerie Vandermeulen, 2014. "The Production Function Methodology for Calculating Potential Growth Rates & Output Gaps," European Economy - Economic Papers 2008 - 2015 535, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    5. Peter Scherer, 2002. "Age of Withdrawal from the Labour Force in OECD Countries," OECD Labour Market and Social Policy Occasional Papers 49, OECD Publishing.
    6. Thomas URL & Josef BAUMGARTNER & Helmut HOFER & Serguei KANIOVSKI & Andreas U. SCHUH, 2010. "A Long-run Macroeconomic Model of the Austrian Economy (A-LMM)," EcoMod2004 330600143, EcoMod.
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