Hello everyone,
I have a large panel dataset where individuals are observed for multiple days, and I am trying to estimate a negative binomial regression controlling for region x month fixed effects, clustering the standard errors at the individual level. However, the group level dummies are too many and the regression takes too long to run. Do you have any suggestions on how I could speed up the computation? Or alternative commands to nbreg that would be more useful in this scenario?
Thanks,
Vincenzo
I have a large panel dataset where individuals are observed for multiple days, and I am trying to estimate a negative binomial regression controlling for region x month fixed effects, clustering the standard errors at the individual level. However, the group level dummies are too many and the regression takes too long to run. Do you have any suggestions on how I could speed up the computation? Or alternative commands to nbreg that would be more useful in this scenario?
Thanks,
Vincenzo
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