Resumen de The Relative Performance of Poisson and Negative Binomial Regression Estimators
Negative binomial estimators are commonly used in estimating models with count-data dependent variables. In this paper, sampling experiments are used to evaluate the performance of these estimators relative to the simpler Poisson estimator in finite-sample situations. The results do not suggest a clear preference for negative binomial estimators in situations in which the underlying dependent variables are overdispersed, unless the researcher is comfortable in assumptions about the precise form of the overdispersion.
