My model for thesis is based on CRedit Rating of the firms and its categorized from AAA to CC from 8-1 (scale). The base paper states to use ordered probit regression and other reference paper says ordered logit model. I don't know any of the models. Can anyone guide me when to use such models and do we need to have all variables categorical ?


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First, when having ordinal DV with 8 values you probably will get reasonable results also with the linear regression. (the recommended is still the
ordinal logistic regression) (

I assume the ordered logit model is - the ordinal logistic regression uses the logit function (the logit is the Ln of the odds, the odds is the ratio: p/(1-p).

Anyway, I think that in both models you mentioned the DV is ordinal and both models get similar results. So both are Okay.

The IVs are preferable to be continuous like in a linear regression or using a dummy for categorical.

When the DV is categorical but not ordinal you should use multinomial logistic regression.
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