Using the panel-data mixed logit choice model – cmxtmixlogit – one can take into account repeated choices, such as repeated mode choices. I have two questions:
- Because multiple respondents each make multiple choices, the choices are not independent of each other, as variation can not only be attributed to the choices, but also to the respondent. This model controls for that. Does this mean that this panel model is therefore a multilevel model?
- Does this panel model assume that all choices are made under the same circumstances? What if we have choices for each season (or for good and bad weather). In that case, it can be assumed that the choices are different for each season; or different between good and bad weather. Can I use the panel model for that as well? What does that mean for the differences in coefficients between the seasons?
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