Hi everyone,

If I have a binary response variable (yes/no to a hypothetical referendum on a survey) and included certainty scales, is there any way to estimate a logit model using certainty as a weighting variable? If so, which type of weight would be appropriate? I am only familiar with pweights and fweights, neither of which seems like the right choice in this case.

I have multiple observations per person, so the code is

Code:
logit vote tax, vce(cluster ID)
Should I be running a panel data model using xtlogit instead?


Thanks for any advice.