Authors: Theis, W.
Weihs, C.
Title: Clustering techniques for the detection of Business Cycles
Language (ISO): en
Abstract: In this paper business cycles are considered as a multivariate phenomenon and not as a univariate one determined e.g. by the GNP. The subject is to look for the number of phases of a business cycle, which can be motivated by the number of clusters in a given dataset of macro-economic variables. Different approaches to distances in the data are tried in a fuzzy cluster analysis to pursue this goal.
Subject Headings: business cycles
cluster analysis
fuzzy clustering
URI: http://hdl.handle.net/2003/4927
http://dx.doi.org/10.17877/DE290R-15027
Issue Date: 1999
Publisher: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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