  We apply general moment identities for Poisson stochastic integrals with
random integrands to the computation of the moments of Markovian
growth-collapse processes. This extends existing formulas for mean and variance
available in the literature to closed form moments expressions of all orders.
In comparison with other methods based on differential equations, our approach
yields polynomial expressions in the time parameter. We also treat the case of
the associated embedded chain.
