Full metadata record
DC Field | Value | Language |
---|---|---|
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.identifier.uri | http://hdl.handle.net/2003/4961 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-15093 | - |
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.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 | - |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
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99_26.pdf | DNB | 277.88 kB | Adobe PDF | View/Open |
tr26-99.ps | 888.68 kB | Postscript | View/Open |
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