Looking at the -tab- results, there should be a problem with outcomes 1 and 2 here.
Multinomial logistic regression Number of obs = 69 Variable and the dependent variable should reveal the combination that results in perfect prediction." hence my question. Using the tabulate command to generate a cross-tabulation of the problem Re-estimate the model, excluding the problem variable and deleting the observations that imply the You will see, however, that all coeffi-Ĭients associated with the variable causing the problem have z = 0 (and p > |z| = 1). Oprobit except that you do not receive a warning message. You should delete these observations and re-estimate the model. LR chi-squared, but also warn that a given number of observations are completely determined.
These observations in the model, estimate the z for the problem variable as 0, and provide an incorrect
That imply perfect prediction and compute estimates accordingly. logit and probit automatically remove the observations "mlogit handles perfect prediction somewhat differently than the estimations commands for binaryĪnd ordinal models that we have discussed. Long & Freese (REGRESSION MODELS FOR CATEGORICAL DEPENDENT VARIABLES USING STATA) note that
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