VECTOR ATTENUATION BIAS IN THE CLASSICAL ERRORS-IN-VARIABLES MODEL

We consider the errors-in-variables model when more than one independe nt variable is measured with error, and show that the vector of corres ponding OLS parameter estimates is asymptotically biased towards zero. The appropriate vector norm is not, in general, the euclidean norm.