Hello
I am trying to know what region is more attractive for people. so I used region ( five categorical variables) as a dependant.
people characteristics are education (high low medium), country of origin (EU, nonEU US Africa Asia), and type (Family, Student, Worker, Refugees). All are categorical
I also aim to interact education with type fn origin. But as there are only two low and medium educated students and 5 low educated EU in one specific region, the relative risk ratio for these groups in interaction is extremely high with empty intervals. So I remove them. running my MNL, results are much better.
but as e.g. low educated students are removed for students I have two levels of education while for other groups I have three educational levels. so the low educated student is zero while high educated students are also omitted! basically, how should I exclude some observations in MNL?
Related Posts with Small observation in multinomial logistic regression
Changing Variables to Same UnitsHi everyone, I have two variables measured in units of 'days', i.e., for how many days an individua…
asking for commands in creating these variables in StataHi. I want to ask for help in creating a certain variable. The data looks like this. It contains le…
Which tests are used to calculate the individual P-values in the STATA logit command (binary logistic regression)?This picture is from page 1290 in the STATA manual: Array The model can be made with the following…
Exporting Stata output to excelDear All, I have a panel dataset. I calculate the mean of each variable for each cross-section unit…
How to code treatment intensity and months of exposure to treatment for pre-treatment rounds?Hi, I am working on a difference in difference analysis based on a panel data of 5 rounds. The trea…
Subscribe to:
Post Comments (Atom)
0 Response to Small observation in multinomial logistic regression
Post a Comment