Authors: | Röhl, Michael C. Theis, Winfried Weihs, Claus |
Title: | Multivariate Classification of Business Phases |
Language (ISO): | en |
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. |
Subject Headings: | business cycle classification dimension reduction simulated annealing transition structure |
URI: | http://hdl.handle.net/2003/4961 http://dx.doi.org/10.17877/DE290R-15093 |
Issue Date: | 1999 |
Provenance: | Universitätsbibliothek Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
99_26.pdf | DNB | 277.88 kB | Adobe PDF | View/Open |
tr26-99.ps | 888.68 kB | Postscript | View/Open |
This item is protected by original copyright |
This item is protected by original copyright rightsstatements.org