I am running an ordered logistic regression for my thesis. I am trying to test the relationship between counterterrorism aid and state repression levels in recipient countries. I ran my regression, and for my first model, my International War control variable has a coefficient-value of 38.007 and a very large standard error value (158,641,489.000). This seems very wrong to me, but I do not know what the problem is.
The independent variable of International War is binary 0 = the given country was not part of an international war in the given year, 1 = the given country was part of an international war in the given year.
the dependent variable is ordinal, ranges from 0 to 2. O meaning there were many state sponsored disappearances and 2 there were none.
Does anyone know how this is possible and what it means? Did I do something wrong with my data? 
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3$\begingroup$ Sounds like it might be perfect separation. $\endgroup$– EdMCommented May 18, 2023 at 12:32
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$\begingroup$ Why do you give three values (158,641,489.000) and what do they mean? $\endgroup$– Christian HennigCommented May 18, 2023 at 12:40
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$\begingroup$ @ChristianHennig I think that means 159 million (or so). $\endgroup$– Nick CoxCommented May 18, 2023 at 12:42
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$\begingroup$ Rather than perfect separation I'd guess that the matrix of predictors may be near to ill-conditioned. It may be almost perfectly possible to reconstruct the International War variable from the other predictors, in which case the regression contribution of it will have a very large standard error and potentially a strange looking coefficient estimator. $\endgroup$– Christian HennigCommented May 18, 2023 at 12:43
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1$\begingroup$ I explain it in the then following sentences. $\endgroup$– Christian HennigCommented May 18, 2023 at 12:45
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