Suppose that {(X-n, Y-n)} is a sequence of pairs of vector-valued stoc
hastic variables which converges weakly to (X, Y), and that {y(n)} con
verges to y. Sufficient conditions for the conditional distribution of
X-n, given Y-n = y(n), to converge to the conditional distribution of
X given Y = y are given in terms of stochastic monotonicity. Conditio
ns, which guarantee that also moments of the conditional distributions
converge to the moments of the ones of the limit, are also derived.