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Finance-augmented business cycles: A robustness check

Author

Listed:
  • Octavio Fernández-Amador

    (World Trade Institute, University of Bern)

  • Martin Gächter

    (Foreign Research Division, Oesterreichische Nationalbank)

  • Friedrich Sindermann

    (Parliamentary Budget Office, National Council of Austria)

Abstract

Recent literature has highlighted the importance of considering the financial cycle for the estimation of business cycles. The applied estimation approaches, however, differ widely and cyclical estimates are therefore difficult to compare. In this paper, we assess the robustness of finance-augmented business cycle estimates to different trend specifications for Japan, the UK, and the US. In line with earlier studies, we confirm that the inclusion of financial variables strongly affects the estimates of the business cycle, resulting in larger amplitudes and more persistent dynamics than traditional cycle estimates. While the dynamics of the cyclical component does not depend much on the model used, its amplitude shows strong sensitivity to the underlying assumptions of the trend model.

Suggested Citation

  • Octavio Fernández-Amador & Martin Gächter & Friedrich Sindermann, 2016. "Finance-augmented business cycles: A robustness check," Economics Bulletin, AccessEcon, vol. 36(1), pages 132-144.
  • Handle: RePEc:ebl:ecbull:eb-15-00136
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    More about this item

    Keywords

    Financial cycle; finance-augmented business cycle; Kalman filter.;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • G0 - Financial Economics - - General

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