Hello, I have a question related to multinomial logit model and conditional logit model. I have read a book (logistic regression using SAS Theory and Application), the book stated that multinomial logit model is a special case of the conditional logit model, while it also stated that the multinomial logit model and conditional logit model differ in two ways: conditional logit model can include characteristics related to the choice options; the set of available options can vary across individuals in the analysis.
Suppose I have a research in which different participants may be facing different options, therefore, which model (multinomial logit model and conditional logit model ) should I use? Can I keep using multinomial logit model since it is just a special case of conditional logit model?
Thank you.
It says like this:
"Typical explanations of how the two models differ are as follows: Multinomial logit models a choice as a function of the chooser's characteristics, whereas conditional logit models the choice as a function of the choices’ characteristics."
Difference between multinomial logit and conditional logit
https://economics.stackexchange.com/questions/24010/difference-between-multinomial-logit-and-conditional-logit#:~:text=Typical%20explanations
You might find the search in the attachment to be helpful to you. Best wishes, David Booth
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