Multivariate Classification of Business Phases

dc.contributor.author	Röhl, Michael C.	de
dc.contributor.author	Theis, Winfried	de
dc.contributor.author	Weihs, Claus	de
dc.date.accessioned	2004-12-06T18:40:35Z
dc.date.available	2004-12-06T18:40:35Z
dc.date.issued	1999	de
dc.description.abstract	We propose multivariate classification as a statistical tool to describe business cycles. These cycles are often analyzed as a univariate phenomenon in terms of GNP or industrial net production ignoring additional information in other economic variables. Multivariate classification overcomes these limitations by reducing dimension in a way suitable for human perception. Based on a four phase scheme (upswing, upper turning point, downswing, lower turning point) we demonstrate the potential of classification methods by determining the important economic variables (stylized facts) for the German business cycle.	en
dc.format.extent	284551 bytes
dc.format.extent	910011 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/4961
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15093
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	business cycle	en
dc.subject	classification	en
dc.subject	dimension reduction	en
dc.subject	simulated annealing	en
dc.subject	transition structure	en
dc.subject.ddc	310	de
dc.title	Multivariate Classification of Business Phases	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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