Finance-augmented business cycles: A robustness check

Octavio Fernández-Amador (), Martin Gächter () and Friedrich Sindermann ()
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Octavio Fernández-Amador: World Trade Institute, University of Bern
Martin Gächter: Foreign Research Division, Oesterreichische Nationalbank
Authors registered in the RePEc Author Service: Octavio Fernández-Amador and Martin Gächter

Economics Bulletin, 2016, vol. 36, issue 1, 132-144

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.

Keywords: Financial cycle; finance-augmented business cycle; Kalman filter. (search for similar items in EconPapers)
JEL-codes: E3 G0 (search for similar items in EconPapers)
Date: 2016-02-04
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Citations: View citations in EconPapers (3)

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