I have a panel count dataset and I would like to estimate it with fixed effects. My data shows a little bit of overdispersion (when fitted with quasi-poisson the overdispersion parameter is 5.01 and the overdispersion test in AER in R is significant).
So to account for overdispersion, I gathered that there are two options: 1) to use NB regressions and 2) to use cluster-robust SE when fitting the data with Poisson, such as the
xtpoisson command in Stata with
However I have not found any guidance on choosing between these two options. Any help will be greatly appreciated here.