Hello,
I am running a logistic regression for panel data using xtlogit in Stata. My dependent variable is binary, where 1 indicates the occurrence of the event and 0 indicates its non-occurrence.
I have a question regarding the interpretation of the odds ratios produced by the model. Specifically, I am trying to understand whether these odds ratios reflect the odds of the event occurring (i.e., P(event) / P(non-event)), or the odds of the event not occurring (i.e., P(non-event) / P(event)).
To clarify, when I look at the odds ratios:
I am running a logistic regression for panel data using xtlogit in Stata. My dependent variable is binary, where 1 indicates the occurrence of the event and 0 indicates its non-occurrence.
I have a question regarding the interpretation of the odds ratios produced by the model. Specifically, I am trying to understand whether these odds ratios reflect the odds of the event occurring (i.e., P(event) / P(non-event)), or the odds of the event not occurring (i.e., P(non-event) / P(event)).
To clarify, when I look at the odds ratios:
- Is an odds ratio > 1 indicating that the predictor increases the probability of the event occurring (1 in the numerator and 0 in the denominator)?
- Or, is it the opposite, as I have noticed in SPSS, where the event (1) is in the denominator?
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