  We present a class of inequality constraints on the set of distributions
induced by local interventions on variables governed by a causal Bayesian
network, in which some of the variables remain unmeasured. We derive bounds on
causal effects that are not directly measured in randomized experiments. We
derive instrumental inequality type of constraints on nonexperimental
distributions. The results have applications in testing causal models with
observational or experimental data.
