Conditional heteroskedasticity properties are derived for some common count data regression and time series models. New extensions are suggested and discussed.

The paper introduces a new approach to incorporating time dependent overdispersion for Poisson related regression models. To handle the added flexibility in conditional heteroskedasticity in time series count data some wellknown estimators are adapted and a GMM type estimator is suggested. The...