[R] joint estimation of two poisson equations

[Tirthankar Chakravarty]

You should probably try the -bivpois- package:
http://cran.r-project.org/web/packages/bivpois/index.html

A very good discussion of multivariate Poissons, negative binomials
etc. can be found in Chapter 7 of Rainer Winkelmann's book
"Econometric Analysis of Count Data" (Springer 2008). Most of the
likelihoods involved are fairly straightforward.

T

On Mon, Apr 13, 2009 at 9:32 AM, Owen Powell <opowell at gmail.com> wrote:
> Dear list members,
>
> Is there a package somewhere for jointly estimating two poisson processes?
>
> I think the closest I've come is using the "SUR" option in the Zelig
> package (see below), but when I try the "poisson" option instead of
> the "SUR" optioin I get an error (error given below, and indeed,
> reading the documentation of the Zelig package, I get the impression
> "poisson" was not meant to handle a system of equations).
>
> I think I could do it myself by constructing the likelihood function
> and then applying ML, but I'd prefer to avoid doing that unless it's
> entirely necessary.
>
> I'll post my solution to the list when I've worked it out.
>
> Regards,
>
> ~Owen
>
> # CODE FOR "sur" OPTION
> rm(list = ls())
> library(Zelig)
>
> y1 = c(1,2,3,4)
> y2 = c(0,2,0,2)
> x = c(2,3,4,8)
> d = data.frame(cbind(y1, y2, x))
>
> eq1 = y1 ~ x
> eq2 = y2 ~ x
> eqSystem = list (eq1, eq2)
>
> system_out = zelig(formula = eqSystem, model = "sur", data = d)
> summary(system_out)
>
> -----------------------------------------------------------------
>
> # ERROR FROM REPLACING "sur" WITH "poisson"
> Error in switch(mode(x), `NULL` = structure(NULL, class = "formula"),  :
>  invalid formula
>
> --
> Owen Powell
> http://center.uvt.nl/phd_stud/powell
>
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-- 
To every ω-consistent recursive class κ of formulae there correspond
recursive class signs r, such that neither v Gen r nor Neg(v Gen r)
belongs to Flg(κ) (where v is the free variable of r).