Hello Statalist.
I'm using the command lclogit2 (written by Hong Il Yoo) to fit a model with the results of a discrete choice experiment. I have a dependent variable (choice, [0,1]) and some independent variables which are the characteristics of the product (price [10,20,30,40], format [on-site, digital], etc).
I've fitted the following latent class logit model (treating the different levels of the characteristics as dummies -and omitting one of the levels- and with 4 classes).
lclogitml2 choice, id(id) group(group) rand(format1 price1 price2 price3 ...) nclasses(4)
Now, I have some sociodemographic characteristics of the respondents. I would like to include them as covariates in the model (I know I can do it with the option membership) but if I do it, the interpretation becomes more difficult. It is because class 4 is selected as the reference class, and by the coefficients of the latent class model, I know that class 4 shows an extreme behavior. Is there a way to set a different class as a reference class (for example, class 2)? If not, is there any other alternative?
Thank you so much in advance.
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