The panel/TSCS data shouldn't affect whether you can use ZIP/ZINB, but I haven't explored it recently so I can't give you definitive advice on the best way to go.
Thanks! If you are overfitting zeros using poisson regression, I would first use a negative binomial regression. If you are still overfitting zeros with NB regression, I would next use a hurdle model (probably the NB version) b/c of how it truncates the count data for only positive counts. That way you should get a better understanding of the relationship for 0 counts and positive counts.
if we have panel/tscs data, and we suspect dual DGP can we still use ZIP/ZIP or we revert back to standard poisson/negative binomial?
The panel/TSCS data shouldn't affect whether you can use ZIP/ZINB, but I haven't explored it recently so I can't give you definitive advice on the best way to go.
Thank you for the very understandable video! What model should I use, if my zero inflation test tells me my model is overfitting zeros?
Thanks! If you are overfitting zeros using poisson regression, I would first use a negative binomial regression. If you are still overfitting zeros with NB regression, I would next use a hurdle model (probably the NB version) b/c of how it truncates the count data for only positive counts. That way you should get a better understanding of the relationship for 0 counts and positive counts.
What package are you using for check_zeroinflation
It's from the `performance` package