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From |
"Stas Kolenikov" <skolenik@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Autocorrelation in Poisson regression |

Date |
Wed, 6 Aug 2008 17:06:48 -0500 |

On Wed, Aug 6, 2008 at 4:00 PM, Antonio Silva <asilva100@live.com> wrote: > In response, I have some comments and a few more questions. First, for Kieran, let me clarify: My dependent variable is "# of groups founded." What this means is that for each year of the study (there are 40 years) there is a number, which represents the number of new organizations that come into existence in that year. So, for example, in 1965, 3 new groups were formed, in 1966, 2 new groups were formed, and in 1967 0 new groups were formed. So I have a number for each year in the period under study. Does that make sense? I have tested for overdispersion and this is not a problem. Oh, then your potential autocorrelation can go either way. You can argue that cities (countries? areas?) that have more groups formed might have attractive group-building climate, so you would expect more groups to be formed there. On the other hand, you can also argue that there might be saturation in that no area "needs" more that 10 groups say. So the "autocorrelation" would rather be negative. That's a funny problem though. I think I posted proto-syntax for residual prediction -- you would need to use -glm- command rather than -poisson-. -- Stas Kolenikov, also found at http://stas.kolenikov.name Small print: I use this email account for mailing lists only. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Autocorrelation in Poisson regression***From:*Antonio Silva <asilva100@live.com>

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