Hello,
I'm wondering what happens when I both use a multilevel model and cluster my standard errors for cross sectional data.
Ordinarily, I understand that these two techniques serve the same purpose, but seeing as clustering is an option in STATA's multilevel modelling, I am now wondering if I should cluster. I'm using the -melogit- command.
I have a fairly simple model of firms nested in countries nested in two global regions.
Thank you
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