A Conditional Probit Model for Qualitative Choice; Discrete Decisions Recognizing Interdependence and Heterogenous Preferences
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Working Paper Series Categorical Data Categorical Data
Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable recording in which of two or more categories an outcome of interest lies. For binary data (two categories) probit and logit models or semiparametric methods are used. For multinomial data (more than two categories) that are unordered, common models are multinomial and...
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تاریخ انتشار 2011