This paper extends the widely used ordered choice model by introducing stochastic
thresholds and interval-specific outcomes. The model can be interpreted as a generalization
of the GAFT (MPH) framework for discrete duration data that jointly models
durations and outcomes associated with different stopping times. The authors establish
conditions for nonparametric identification. They interpret the ordered choice model
as a special case of a general discrete choice model and as a special case of a dynamic
discrete choice model.