This paper studies the goodness of fit test for bivariate Hermite distribution. Specifically, we propose and study a Cramér–von Mises-type based on empirical probability generation function. The bootstrap can be used to consistently estimate null distribution statistics. A simulation investigates approach finite sample sizes.