Hi,
I’m using gologit2_ado in Statat 15.1 SE to run generalised ordered logit models with partial proportional odds (using autofit). When I introduced an interaction term between respondent’s occupational status (occ4) and their residential characteristic (oecd_ur) in the model, I have an error message as follows:
Step 1: Constraints for parallel lines imposed for 3.educ1 (P Value = 0.9886)
Step 2: Constraints for parallel lines imposed for age (P Value = 0.9522)
pl(0o.oecd_ur#3o.occ4 1o.oecd_ur#3o.occ4 2b.oecd_ur#3o.occ4) is not a subset of the X variables: civic_pcamat 0b.gndr 1.gndr age c.age#c.age 1.genM 2.genM 3.genM
> 4.genM 5.genM 6b.genM 0b.educ1 1.educ1 2.educ1 3.educ1 0b.religion2 1.religion2 2.religion2 3.religion2 0.ideology 1.ideology 2b.ideology 0.occ4 1.occ4 2.occ4 3b
> .occ4 0.oecd_ur 1.oecd_ur 2b.oecd_ur 0.oecd_ur#0.occ4 0.oecd_ur#1.occ4 0.oecd_ur#2.occ4 0o.oecd_ur#3b.occ4 1.oecd_ur#0.occ4 1.oecd_ur#1.occ4 1.oecd_ur#2.occ4 1o.
> oecd_ur#3b.occ4 2b.oecd_ur#0o.occ4 2b.oecd_ur#1o.occ4 2b.oecd_ur#2o.occ4 2b.oecd_ur#3b.occ4 0b.yr 1.yr
The -force- option sometimes lets you proceed anyway
For your information,
“occ4” and “oecud_ur” variables are coded as follow:
Occ4: Respondent’s occupation:
Many thanks in advance,
Simon
I’m using gologit2_ado in Statat 15.1 SE to run generalised ordered logit models with partial proportional odds (using autofit). When I introduced an interaction term between respondent’s occupational status (occ4) and their residential characteristic (oecd_ur) in the model, I have an error message as follows:
Step 1: Constraints for parallel lines imposed for 3.educ1 (P Value = 0.9886)
Step 2: Constraints for parallel lines imposed for age (P Value = 0.9522)
pl(0o.oecd_ur#3o.occ4 1o.oecd_ur#3o.occ4 2b.oecd_ur#3o.occ4) is not a subset of the X variables: civic_pcamat 0b.gndr 1.gndr age c.age#c.age 1.genM 2.genM 3.genM
> 4.genM 5.genM 6b.genM 0b.educ1 1.educ1 2.educ1 3.educ1 0b.religion2 1.religion2 2.religion2 3.religion2 0.ideology 1.ideology 2b.ideology 0.occ4 1.occ4 2.occ4 3b
> .occ4 0.oecd_ur 1.oecd_ur 2b.oecd_ur 0.oecd_ur#0.occ4 0.oecd_ur#1.occ4 0.oecd_ur#2.occ4 0o.oecd_ur#3b.occ4 1.oecd_ur#0.occ4 1.oecd_ur#1.occ4 1.oecd_ur#2.occ4 1o.
> oecd_ur#3b.occ4 2b.oecd_ur#0o.occ4 2b.oecd_ur#1o.occ4 2b.oecd_ur#2o.occ4 2b.oecd_ur#3b.occ4 0b.yr 1.yr
The -force- option sometimes lets you proceed anyway
For your information,
“occ4” and “oecud_ur” variables are coded as follow:
Occ4: Respondent’s occupation:
- Highly skilled white-collar
- Low skilled white-collar
- Highly skilled blue-collar
- Low skilled blue-collar
- Predominantly Urban
- Intermediate
- Predominantly rural
Many thanks in advance,
Simon
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