  We address the problem of existence of unbiased constrained parameter
estimators. We show that if the constrained set of parameters is compact and
the hypothesized distributions are absolutely continuous with respect to one
another, then there exists no unbiased estimator. Weaker conditions for the
absence of unbiased constrained estimators are also specified. We provide
several examples which demonstrate the utility of these conditions.
