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A Note on Student's t Test in Multiple Regression

Published online by Cambridge University Press:  19 October 2009

V. Kerry Smith
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Extract

Recently, Cohen and Gujarati [2] have suggested that when multicollinearity is present there is “ …danger involved in mechanically dropping variables from multiple regression equations by t tests because t values of the regression coefficients may not be significantly different from zero when the true (population) values of these coefficients are in fact not zero…” The problem they discuss is not a new one and has been extensively treated in the existing literature. However, their approach is straightforward and will certainly aid the practitioner in his understanding of the problems associated with multicollinearity.

Information

Type
Communications
Information
Journal of Financial and Quantitative Analysis , Volume 6 , Issue 3 , June 1971, pp. 1053 - 1056
Copyright
Copyright © School of Business Administration, University of Washington 1971

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References

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