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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)

Author

Listed:
  • Marc de Bourmont

    (Pôle de Recherche - Rouen Business School - Rouen Business School)

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.

Suggested Citation

  • Marc de Bourmont, 2012. "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," Post-Print hal-00691156, HAL.
    • Handle: RePEc:hal:journl:hal-00691156
    Note: View the original document on HAL open archive server: https://hal.science/hal-00691156
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    References listed on IDEAS

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    1. Marie Chavent & Yuan Ding & Linghui Fu & Herve Stolowy & Huiwen Wang, 2006. "Disclosure and determinants studies: An extension using the Divisive Clustering Method (DIV)," European Accounting Review, Taylor & Francis Journals, vol. 15(2), pages 181-218.
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