Hi all,
I have a dataset with information on employees from a firm. The dependent variable is “Prom”, or the promotion to different managerial positions inside the firm. It’s an ordinal variable and it assumes four values: 0 (no promotion), 1 (promotion to position A), 2 (promotion to position B), 3 (promotion to position C).
The model follows below:
ologit Prom revClass_reversed mba masters phd foreign_language, vce(robust)
The independent variable of interest is “revClass_reversed”, or their ranking inside the firm based on performance. It’s reverse-coded so that higher values mean a higher ranking (from 0 to 119).
The goal: to compute predicted values and confidence intervals for the four promotion categories.
I’m having problems doing it. Could someone help?
Thank you.
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