I am dealing with over-dispersed count variable in my model and to my best knowledge, negative binomial model is ideal for this type of dependent variable. I would like to use FE demeaning approach since it reduces time invariant omitted variable bias for the panelized data. I used glm.nb from MASS package in R but it doesnt really give me what I exactly want. I have two questions regarding this:
glm.nb
-Is there any R function to do this? -Can I just log transform the dependent variable and run the OLS model?
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