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 |
Provenance: | Universitätsbibliothek Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
99_40.pdf | DNB | 197.49 kB | Adobe PDF | View/Open |
tr40-99.ps | 876.8 kB | Postscript | View/Open |
This item is protected by original copyright |
This item is protected by original copyright rightsstatements.org