Clustering techniques for the detection of business cycles

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.

MoreLess

Year of publication:	1999
Authors:	Theis, Winfried ; Weihs, Claus
Institutions:	Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
Subject:	Business cycles \| cluster analysis \| fuzzy clustering

More details

Extent:	application/pdf
Series:	Technical Reports.
Type of publication:	Book / Working Paper
Notes:	Number 1999,40
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010955522