# How to interpret ordered logistic regression

Dear all,

My name is Madelaine, I am doing research on party list rankings for open list PR elections (where votes are cast on a single candidate). Using a range of explanatory variables (age, education, effort in parliament etc.) I try to estimate the rank a candidate has on a party list.

As my dependent variabele (rank) is ordinal, I wanted to use an ordered logistic panel data regression. However, since the rank can take up values ranging from 1 to 80, I do not know how to interpret the odd ratios that come out of the regression. I also doubt whether the ordered logistic regression model is the correct model to use when the dependent rank variable has 80 categories.

I would very much appreciate it if someone could help me out on this,

Many thanks in advance, and kind regards,

Madelaine.

Hi, if you just want to estimate how a set of characteristics (explanatory variables) affect the ranking, why not run an OLS-regression?