Hello everyone,
I am running a multilevel ordered logit model (5 outcomes) and would like to check the parallel lines assumption. However, the Brant test is not readily available in this context. I was thus thinking of running a series of logit regressions on the various outcomes such that 1 is run against 2, 3, 4; 1 and 2 against 3 and 4; 1, 2 and 3 against 4. After that I would want to see whether the coefficients are significantly different across equations.
The original model is as follows:
The subsequent series of logit regressions for the 4 combinations mentioned above is as follows:
The coefficients are not too different from one another (even though their statistical significance is).
Ideally, I would like to compare the coefficients as follows:
But the command suest is not compatible with multilevel models. I thought the best would be to find a way to give a name to each equation after each model is stored but I cannot find the macro to do just that. Has anyone any recommendation?
Thank you very much for your help,
**Stata 17** user
I am running a multilevel ordered logit model (5 outcomes) and would like to check the parallel lines assumption. However, the Brant test is not readily available in this context. I was thus thinking of running a series of logit regressions on the various outcomes such that 1 is run against 2, 3, 4; 1 and 2 against 3 and 4; 1, 2 and 3 against 4. After that I would want to see whether the coefficients are significantly different across equations.
The original model is as follows:
Code:
meologit y1 x1 x2 x3 || lev3: || lev2:
Code:
logit comb1 x1 x2 x3 || lev3: || lev2: est sto m1 logit comb2 x1 x2 x3 || lev3: || lev2: est sto m2 logit comb3 x1 x2 x3 || lev3: || lev2: est sto m3 logit comb4 x1 x2 x3 || lev3: || lev2: est sto m4
Ideally, I would like to compare the coefficients as follows:
Code:
suest m1 m2 m3 m4 test [m1=m2=m3=m4], common
Thank you very much for your help,
**Stata 17** user

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