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Centered and non-centered variance inflation factor

Román Salmerón Gómez, Catalina García García y José García Pérez

arXiv 29 May 2019 · Econometrics · 1 citations (OpenAlex)

arXiv:1905.12293 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper analyzes the diagnostic of near multicollinearity in a multiple linear regression from auxiliary centered regressions (with intercept) and non-centered (without intercept). From these auxiliary regression, the centered and non-centered Variance Inflation Factors are calculated, respectively. It is also presented an expression that relate both of them.

Citation extraction

9
references
17
in-text mentions
9
distinct cited
0
self-citations
2,765
main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Belsley, D.A (1984) Demeaning conditioning diagnostics throught centering0.87452100%
2Marquardt, D.W. y Snee, R (1975) Ridge regression in practice0.84333100%
3Salmer�n, R., Garc�a, C.B. y Garc�a, J (2018) Variance inflation factor and condition number in multiple linear regression0.51121100%
4Salmer�n, R., Rodr�guez, A. y Garc�a, C.B (2019) Diagnosis and quantification of the non-essential collinearity0.51121100%
5Cook, R.D (1984) Comment on0.40511100%
6Marquardt, D.W (1980) Comment on0.40511100%
7Stewart, G.W (1987) Collinearity and least squares regression0.40511100%
8Theil, H (1971) Principles of Econometrics0.40511100%
9Velilla, S (2018) A note on collinearity diagnostics and centering0.40511100%

Showing the top 9 of 9 scored citations.