  The present article deals with the averaging principle for a two-time-scale
system of jump-diffusion stochastic differential equation. Under suitable
conditions, the weak error is expanded in powers of timescale parameter. It is
proved that the rate of weak convergence to the averaged dynamics is of order
$1$. This reveals the rate of weak convergence is essentially twice that of
strong convergence.
