But, this does suggest that R2 should
generally be of only secondary interest to us. If a correctly specified model with wellmeasured
variables produces a small R2, then so be it. We should be much more
interested in the determinants of R2 than in R2 itself. And, if we are going to make
comparisons of R2, we should make sure we are doing so correctly