La résolution d'un problème de multicolinéarité au sein des études portant sur les déterminants d'une publication volontaire d'informations: proposition d'un algorithme de décision simplifié basé sur les indicateurs de Belsley, Kuh et Welsch (1980)
Marc de Bourmont ()
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Marc de Bourmont: Pôle de Recherche - Rouen Business School - Rouen Business School
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Abstract:
Many disclosure and determinants studies have been conducted, in which the authors most often estimate a classical linear regression model (CLR). This technique is the best technique in order to estimate linear relationships between a dependent variable and some independent variables, when the constraints that apply to such a model are respected. The lack of a multicolinearity problem being one of these constraints, the aim of this article is 1/ to show that the usual tools that are used in order to detect and remedy this problem are sometimes not sufficient 2/ to demonstrate the superiority of the indicators that were proposed by Besley, Kuh and Welsch (1980). From these indicators, an algorithm is proposed in this article which is then applied in an illustrative way in a determinant and disclosure study. We then show that this algorithm allows circumventing a multicolinearity problem.
Keywords: Linear Regression; Multicolinearity; Correlation Matrix; linéaire; Multicolinéarité; Variance Inflation Factor; VIF; Matrice des Corrélations. (search for similar items in EconPapers)
Date: 2012-05-21
New Economics Papers: this item is included in nep-mac
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Published in Comptabilités et innovation, May 2012, Grenoble, France. pp.cd-rom
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