The new estimation command ziologit fits zero-inflated ordered logistic regression models. This model is used when data exhibit a higher fraction of observations in the lowest category than would be expected from a standard ordered logistic model. We refer to observations in the lowest category as zeros because they typically correspond to the absence of a behavior or trait.
Zero inflation is accounted for by assuming that the zeros come from both a logistic model and an ordered logistic model. Each model can have different covariates, and the results can be displayed as odds ratios instead of the default coefficients. See [R] ziologit.