The random effects model yields economically more sensible results since all
the linear cost terms on the primary care practitioners are positive. Further, the
random effects model produces more modest prediction errors because, unlike the
fixed effects model, it does not have to sacrifice a large number of degrees of
freedom in estimating area effects. This is important when assessing economies of
scale or scope.