Hi, my first email, I hope I don't violate any rules. I want to run a panel (cross-section-time-series) regression with fixed effects. I have count data (patent citations) so a Poisson distribution applies. But I also want to control for over-dispersion and and excess zeros. I think I read all manuals of potentially helpful packages but I could not find a way to realise this. The closest I got was a fixed effects poisson regression using Yves Croissant's pglm package (panel generalized linear model). But over-dispersion and excess zeros are still neglected. Does anyone know a feasible way to run such a regression on R?
Thanks a lot in advance and thanks to all the help I got in the last years by reading the archived mailing lists. Steffen Krutzinna (Student @ Uni. Essex) ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
