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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/9761
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dc.contributor.authorKar, Sujata-
dc.date.accessioned2020-10-09T11:53:41Z-
dc.date.available2020-10-09T11:53:41Z-
dc.date.issued2010-
dc.identifier.citationInternational Journal of Monetary Economics and Finance (2010), 3(3): 248-269-
dc.identifier.issn17520479-
dc.identifier.urihttps://doi.org/10.1504/IJMEF.2010.033456-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/9761-
dc.description.abstractThe primary objective of this paper is to establish the superiority of Unobserved Components Models (UCMs) as a measure of core inflation over alternative econometric methods, namely Structural Vector Autoregressive (SVAR). UCMs have the advantage of allowing the policy makers to decide which components of the headline inflation should be defined as permanent and which one as transitory on the basis of their duration. The paper also comments on the comparative performance of annually differenced series over seasonally differenced series. The UCMs are found to generate reasonable medium to long-term out-of-sample forecasts of Wholesale Price Index (WPI) inflation. © 2010 Inderscience Enterprises Ltd.-
dc.language.isoen_US-
dc.relation.ispartofInternational Journal of Monetary Economics and Finance-
dc.subjectcore inflation-
dc.subjectout-of-sample forecasts-
dc.subjectstructural vector autoregressive-
dc.subjectSVAR-
dc.subjectUCM-
dc.subjectunobserved components model-
dc.titleUCM: A measure of core inflation-
dc.typeArticle-
dc.scopusid57081884700-
dc.affiliationKar, S., University of Petroleum and Energy Studies, Energy Acres, Bidholi, via-Premnagarr, Dehradun – 248006, India-
Appears in Collections:Journal Publications [MS]

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