For allocation models consisting of n = 10, 6 and 4 equations, constrained generalized least squares coefficient estimates are compared with those obtained from the minimum information (MI) criterion in the sense of statistical information theory. The MI estimates are more efficient for n = 10....

Root-mean-squared errors and asymptotic standard errors of ML coefficient estimates are compared for equation systems of different size, using normal and discrete bootstrap. It appears that exploiting normality does not yield any gain. Suggestions are made for correcting the downward bias of...