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Learning Financial Shocks and the Great Recession

  • Patrick A. Pintus

    ()

    (AMSE - Aix-Marseille School of Economics - Aix-Marseille Univ. - Centre national de la recherche scientifique (CNRS) - École des Hautes Études en Sciences Sociales (EHESS) - Ecole Centrale Marseille (ECM))

  • Jacek Suda

    ()

    (Banque de france - Banque de France)

This paper develops a simple business-cycle model in which financial shocks have large macroeconomic effects when private agents are gradually learning their uncertain environment. When agents update their beliefs about the parameters that govern the unobserved process driving financial shocks to the leverage ratio, the responses of output and other aggregates under adaptive learning are significantly larger than under rational expectations. In our benchmark case calibrated using US data on leverage, debt-to-GDP and land value-to-GDP ratios for 1996Q1-2008Q4, learning amplifies leverage shocks by a factor of about three, relative to rational expectations. When fed with actual leverage innovations observed over that period, the learning model predicts a sizeable recession in 2008-10, while its rational expectations counterpart predicts a counter-factual expansion. In addition, we show that procyclical leverage reinforces the amplification due to learning and, accordingly, that macro-prudential policies enforcing countercyclical leverage dampen the effects of leverage shocks.

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Paper provided by HAL in its series Working Papers with number halshs-00830480.

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Date of creation: Jun 2014
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Handle: RePEc:hal:wpaper:halshs-00830480
Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00830480
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  1. Wiliam Branch & George W. Evans, 2005. "A Simple Recursive Forecasting Model," University of Oregon Economics Department Working Papers 2005-3, University of Oregon Economics Department, revised 01 Feb 2005.
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