This paper suggests and examines a straightforward diagnostic test procedure that 1) provides numerical indexes whose magnitudes signify the presence of one or more near dependencies among columns of a data matrix X, and 2) provides a means for determining, within the linear regression model,...

This paper presents a means for detecting the presence of multicollinearity and for assessing the damage that such collinearity may cause estimated coefficients in the standard linear regression model. The means of analysis is the singular value decomposition, a numerical analytic device that...

Prior research (Belsley, 1997) has established that the common tests for single orders of serial correlation (e.g., Durbin–Watson, artificial regression) are badly distorted and result in grossly misleading tests in small samples. A corrected t-statistic has been derived that removes these...