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Assessing Aggregate Comovements in France, Germany and Italy. Using a Non Stationary Factor Model of the Euro Area

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Author Info
De Bandt. O.
Bruneau, C.
Flageollet, B.

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Abstract

The objective of the paper is to investigate to what extent business cycles co-move in Germany, France and Italy. We use a large-scale database of non-stationary series for the euro area in order to assess the effect of common versus idiosyncratic shocks, as well as transitory versus permanent shocks, across countries over the 1980:Q1 to 2003:Q4 period. We apply the method-ology proposed by Bai (2004) and Bai and Ng (2004) to construct a coincident indicator of the euro area business cycle to which national developments appear to be increasingly correlated at business cycle frequencies (8 to 32 quarters), while more significant différences appear at lower frequencies which measures potential growth. The indicator is also shown to be related to extra euro area economic developments.

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File URL: http://www.banque-france.fr/gb/publications/telechar/ner/ner145.pdf
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Publisher Info
Paper provided by Banque de France in its series Documents de Travail with number 145.

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Length: 30 pages
Date of creation: 2006
Date of revision:
Handle: RePEc:bfr:banfra:145

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Postal: Banque de France 31 Rue Croix des Petits Champs LABOLOG - 49-1404 75049 PARIS
Web page: http://www.banque-france.fr/
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Related research
Keywords: Factor models ; Non-stationary panel data models ; Euro area business cycles.;

Find related papers by JEL classification:
C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions

References listed on IDEAS
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  1. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-62, April.
  2. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January. [Downloadable!] (restricted)
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