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Dynamic factor models with time-varying parameters: measuring changes in international business cycles Author info | Abstract | Publisher info | Download info | Related research | Statistics Marco Del Negro
Christopher Otrok
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We develop a dynamic factor model with time-varying factor loadings and stochastic volatility in both the latent factors and idiosyncratic components. We employ this new measurement tool to study the evolution of international business cycles in the post-Bretton Woods period, using a panel of output growth rates for nineteen countries. We find 1) statistical evidence of a decline in volatility for most countries, with the timing, magnitude, and source (international or domestic) of the decline differing across countries; 2) some evidence of a decline in business cycle synchronization for Group of Seven (G-7) countries, but otherwise no evidence of changes in synchronization for the sample countries, including European and euro-area countries; and 3) convergence in the volatility of business cycles across countries.
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Paper provided by Federal Reserve Bank of New York in its series Staff Reports with number
326.
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Date of creation: 2008Date of revision:
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Keywords: Time-series analysis ; International economic integration ; Business cycles ; Group of Seven countries ; Other versions of this item:
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2003.
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