Poisson regression is often used to model count outcomes, such as the number of patents that firms were granted, the number of times people visited the doctor, or the number of times unfortunate Prussian soldiers died by horse kick. With observational data, we do not always see the outcome for all subjects. This is different … Continue reading Poisson models with sample selection