Multinomial probit is a statistical model used to analyze dependent variables that are categorical and have more than two outcomes. It is particularly useful when the choice or outcome is not ordinal (i.e., there's no inherent order among the categories) but is rather nominal. ### Key Features of Multinomial Probit: 1. **Categorical Dependent Variable**: The model is designed for dependent variables that can take on multiple categories.
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