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Wavelet variance and correlation analyses of output in G7 countries

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Author Info
Marco Gallegati (DEA, Università Politecnica delle Marche, Italy)
Mauro Gallegati (DEA, Università Politecnica delle Marche, Italy)

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Abstract

In this paper we apply the wavelets methodology to the analysis of the industrial production index of the G-7 countries between 1961:1-2005:5. The analysis is performed using a multi-scaling approach which decomposes the variance of the industrial production index and the covariance between the industrial production indices of two countries on a scale-by-scale basis through a non-orthogonal variant of the classical discrete wavelet transform, i.e. the maximal overlap discrete wavelet transform (MODWT). Wavelet variance analysis does not provide evidence of an international patterns of moderation in output volatility, as the moderation of output volatility occurred after the early eighties is confirmed only for the Euro-area countries plus Japan. Moreover, wavelet correlation analysis different correlation patterns at the different time-scale components and, that, with some exceptions, the linkages between countries are mostly significant only at the business cycle time scales, with the strongest relationships between the Anglo countries (particularly Canada and US), France and Germany, Japan and the Euro- zone countries, with Italy displaying the closest links with France.

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Paper provided by EconWPA in its series Macroeconomics with number 0512017.

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Length: 21 pages
Date of creation: 27 Dec 2005
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Handle: RePEc:wpa:wuwpma:0512017

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Related research
Keywords: time-scale decomposition analysis wavelets business cycle fluctuations

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Find related papers by JEL classification:
E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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