Business cycle measurement

Harding, D; Pagan, AR

Business cycle measurement

Harding, D Pagan, AR

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Publisher:: Palgrave Macmillan
Publication Type:: Chapter
Citation:: The New Palgrave Dictionary of Economics online, 2008, 2nd, pp. 1 - 13
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Harding, D	en_US
dc.contributor.author	Pagan, AR	en_US
dc.contributor.editor	Durlauf, SN	en_US
dc.contributor.editor	Blume, LE	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	The New Palgrave Dictionary of Economics online, 2008, 2nd, pp. 1 - 13	en_US
dc.identifier.isbn	978-0-333-78676-5	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16825
dc.description.abstract	We describe different ways of measuring the business cycle. Institutions such as the NBER, OECD and IMF do this by locating the turning points in series taken to represent the aggregate level of economic activity. The turning points are determined according to rules that either come from a parametric model or are nonparametric. Once located, information can be extracted on cycle characteristics. We also distinguish between cases where single and multiple series are used to represent the level of activity.	en_US
dc.publisher	Palgrave Macmillan	en_US
dc.relation.ispartof	The New Palgrave Dictionary of Economics online	en_US
dc.title	Business cycle measurement	en_US
dc.type	Chapter
utslib.location	Online	en_US
utslib.for	1402 Applied Economics	en_US
utslib.citation.edition	2nd	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.edition	2nd	en_US
pubs.place-of-publication	Online	en_US

Abstract:

We describe different ways of measuring the business cycle. Institutions such as the NBER, OECD and IMF do this by locating the turning points in series taken to represent the aggregate level of economic activity. The turning points are determined according to rules that either come from a parametric model or are nonparametric. Once located, information can be extracted on cycle characteristics. We also distinguish between cases where single and multiple series are used to represent the level of activity.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/16825