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Dating Business Cycle Turning Points for the French Economy: a MS-DFM approach

Catherine Doz (catherine.doz@univ-paris1.fr) and Anna Petronevich
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Catherine Doz: CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL

Abstract: The official institutions (NBER, OECD, CEPR and others) provide business cycle chronology with a lag from 3 months up to several years. Markov-Switching Dynamic Factor Model (MS-DFM) allows to produce the turning points more timely. The Kalman filter estimates of the model can be obtained in one step with limited number of series or in two steps on a much richer dataset. While the choice of correct series is a challenge for the one-step method, the problem of the two-step method is the potential misspecification. In this paper we apply one-step and two-step approaches to the French data and compare their performance. Both methods give qualitatively similar results and prove to reproduce the OECSD business cycle chronology on the 1993-2014 monthly sample well. We find that the two-step method is more precise in determining the beginnings and the ends of recessions. Also, both methods produce extra signals corresponding to downturns which were too short to belong to OECD chronology of recessions.

Keywords: dynamic factor models; Markov switching models; business cycle turning points (search for similar items in EconPapers)
Date: 2015-02
New Economics Papers: this item is included in nep-ets
Note: View the original document on HAL open archive server: https://hal.science/hal-01159200v1
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Citations: View citations in EconPapers (13)

Published in 2015

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Related works:
Chapter: Dating Business Cycle Turning Points for the French Economy: An MS-DFM approach (2016) Downloads
Working Paper: Dating Business Cycle Turning Points for the French Economy: a MS-DFM approach (2015) Downloads
Working Paper: Dating Business Cycle Turning Points for the French Economy: a MS-DFM approach (2015) Downloads
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