I've read in several places that a negative-binomial model is a reasonable alternative to a Poisson regression when the latter shows overdispersion. However, none of the several sources I read said whether it is also an improvement over a Poisson that shows underdispersion.
So is a negative-binomial worth considering for count data where the variance doesn't equal the mean? Or more specifically, only when the variance is larger than the mean?