Can someone please tell me if xtnbreg is appropriate to use for hierarchical
linear modeling. I have seen xtnbreg used to model hierarchical data under
the assumption that it allows the level 1 beta coefficients to vary across
the level 2 units. However, the explanation of xtnbreg specifically says
"random effects" does not refer to the xb term. My assumption is that it
allows the errors to vary across the level 2 units.
Is xtnbreg appropriate to use for hierarchical linear modeling?
Carter
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