Hi there, I have been reading the forum on repeated measures/panel style data and the use of mlogit. For context, my data consists of four observations per participant. Each participant watched four videos and were asked to make one of four choices for each video (1-4). I have created dummies for features of the videos - social (=1 if social setting video, =0 if sport setting video) and moms (=1 if man on man sexism and =0 if man on woman sexism).l

I have tried several options and landed with the following analysis:

1. xtlogit identify social moms socialxmoms male australian asian age age2 order where identify is a dummy (=1 if choices=2-4, 0 otherwise) and gender, ethnicity and age are the same across videos (individual characteristics)

2. mlogit speakup social moms socialxmoms male australian asian age age2 order if speakup!=1 & exclude==0, base(2) nolog vce(cl pid) where speakup = 2, 3 or 4 (whatever choice they selected)

Questions:

1. Is it right to use xtlogit in order to take into account the repeated measures component (i.e. treat it like a panel dataset but without a time component)?

2. As there is no mlogit function for panel data, is it right to use mlogit and clustard the errors around my group id? I have also tried mixlogit and femlogit. mixlogit doesn't work as it requires specific RE variables which I don't have/don't know if I have. femlogit did work but how is this different to mlogit with vce(cl pid)?

3. For both analyses above, do I progress with the usual margins, dydx(*) code to get my marginal effects?

Thank you in advance.

Cheers, Simone