Health related data with discrete ordered dependent variables are often characterised by excessive 'zero' observations that may relate to two distinct data generating processes. For example, there may be a large proportion of 'no visit' in modeling discrete ordered levels of health service uses...

Discrete variables that have an inherent sense of ordering across outcomes are commonly found in large datasets available to many economists, and are often the focus of research. However, assumptions underlying the standard Ordered Probit (which is usually used to analyse such variables) are not...

Zero-inflated ordered probit (ZIOP) and middle-inflated ordered probit (MIOP) models are finding increasing favour in the discrete choice literature. Both models consist of a mixture of binary and single ordered probit equations, the combination of which accounts for an "excessive" build-up of...