The application of clustering analysis to international private indebtedness

The main goal of this paper is to apply a combination of statistical and connectionist schemes to examine, via clustering analysis, private indebtedness in different countries. Thirty-nine such experiences are used. The relationship between private debts and some macroeconomic variables are discussed in some detail. The clustering performance is improved by taking advantage of specific properties and capacities of each method. The procedures are also applied to a controlled numerical example.

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Year of publication:	1999
Authors:	Monteiro, André Monteiro D'Almeida ; Carneiro, Dionísio Dias ; Pedreira, Carlos Eduardo
Publisher:	Rio de Janeiro : Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departamento de Economia

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Series:	Texto para discussão ; 412
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	hdl:10419/186656 [Handle] RePEc:rio:texdis:412 [RePEc]
Classification:	C45 - Neural Networks and Related Topics
Source:	EconStor

Persistent link: https://www.econbiz.de/10011935028