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A System For Dating And Detecting Turning Points In The Euro Area

Author

Listed:
  • JACQUES ANAS
  • MONICA BILLIO
  • LAURENT FERRARA
  • GIAN LUIGI MAZZI

Abstract

In the paper we aim to introduce a statistical dating and detection of turning points giving them a first economic interpretation. The main advantage of the proposed approach is represented by the fact that classical and growth cycles are jointly considered both in the dating and in the detecting stage. A key result of this choice is a better description of different economic phases as well as a more accurate investigation of the economic cyclical behaviour. The proposed approach considerably improves the relevance of information delivered to users in comparison with a standard analysis based only on classical or growth cycle components. Copyright © 2008 The Authors. Journal compilation © 2008 Blackwell Publishing Ltd and The University of Manchester.

Suggested Citation

  • Jacques Anas & Monica Billio & Laurent Ferrara & Gian Luigi Mazzi, 2008. "A System For Dating And Detecting Turning Points In The Euro Area," Manchester School, University of Manchester, vol. 76(5), pages 549-577, September.
  • Handle: RePEc:bla:manchs:v:76:y:2008:i:5:p:549-577
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    References listed on IDEAS

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