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clogit or logit for a Difference-in-Difference model with fixed effects
clogit or logit for a Difference-in-Difference model with fixed effects

Hi everyone,

I was hoping you might be able to help with this question for my thesis. I'm running a Difference-in-Difference model with repeated cross-sectional data (not panel data). My outcome variable is binary, which means I will use an odds ratio instead of marginal effects as suggested here: https://journals.sagepub.com/doi/pdf...867X1001000211

However, I have group and time fixed effects since it is a Diff-in-Diff model over several groups and time periods. Should I be using logit or clogit for such a model?

Thank you kindly,

Lucas

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