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A measure of output gap for Italy through structural time series models Author info | Abstract | Publisher info | Download info | Related research | Statistics Roberta Zizza
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The aim of this paper is to achieve a reliable estimate of the output gap for Italy through the development of several models within the class of the unobserved component time series models. These formulations imply the decomposition of output into a trend component (the 'potential output’) and a cycle component (the 'output gap’). Both univariate and multivariate methods will be explored. In the former, only one measure of aggregate activity, such as GDP, is considered; in the latter, unemployment and industrial production are introduced. A comparison with alternative measures of output gap, mainly those published by international organisations, will conclude.
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Article provided by Taylor and Francis Journals in its journal Journal of Applied Statistics .
Volume (Year): 33 (2006)
Issue (Month): 5 (June)
Pages: 481-496
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Handle: RePEc:taf:japsta:v:33:y:2006:i:5:p:481-496Contact details of provider: Web page: http://taylorandfrancis.metapress.com/link.asp?target=journal&id=100411
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For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Keywords: Output gap ; potential output ; trend and cycle decomposition ; unobserved component models ; Other versions of this item:
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