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The Role of Oscillatory Modes in U.S. Business Cycles: We apply the advanced time-and-frequency-domain method of singular spectrum analysis to study business cycle dynamics in a set of nine U.S. macroeconomic indicators. This method provides a robust way to identify and reconstruct shared oscillations, whether intermittent or modulated. We address the problem of spurious cycles generated by the use of detrending filters and present a Monte Carlo test to extract significant oscillations. Finally, we demonstrate that the behavior of the U.S. economy changes significantly between episodes of growth and recession; these variations cannot be generated by random shocks alone, in the absence of endogenous variability. http://www.feem.it/userfiles/attach/20125101548154NDL2012-026.pdf

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https://hal-enpc.archives-ouvertes.fr/hal-00802052
Contributeur : Frédérique Bordignon <>
Soumis le : lundi 18 mars 2013 - 22:38:37
Dernière modification le : mercredi 14 octobre 2020 - 03:49:47

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  • HAL Id : hal-00802052, version 1

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A. Groth, Michael Ghil, Stéphane Hallegatte, Patrice Dumas. The Role of Oscillatory Modes in U.S. Business Cycles: We apply the advanced time-and-frequency-domain method of singular spectrum analysis to study business cycle dynamics in a set of nine U.S. macroeconomic indicators. This method provides a robust way to identify and reconstruct shared oscillations, whether intermittent or modulated. We address the problem of spurious cycles generated by the use of detrending filters and present a Monte Carlo test to extract significant oscillations. Finally, we demonstrate that the behavior of the U.S. economy changes significantly between episodes of growth and recession; these variations cannot be generated by random shocks alone, in the absence of endogenous variability. http://www.feem.it/userfiles/attach/20125101548154NDL2012-026.pdf. FEEM Working Paper, 2012, 2012.026. ⟨hal-00802052⟩

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