[R] function censReg in panel data setting
Arne Henningsen
arne.henningsen at googlemail.com
Wed Sep 14 00:36:02 CEST 2011
Hi Igors
On 13 September 2011 13:27, Igors <igors.lahanciks at gmail.com> wrote:
> Any success in finding possible solutions for my problem?
Somewhat. The calculation of the log-likelihood values is numerically
much more robust/stable now. The log-likelihood contributions of some
individuals became minus infinity in your model. This was caused by
rounding errors as illustrated in the following simplified example:
log( exp( a ) + exp( b ) )
If a and b become smaller than approximately -800, exp( a ) and exp( b
) are rounded to zero and the log of their sum (zero) is minus
infinity.
I have solved this problem by replacing the above calculation by
log( exp( a - c ) + exp( b - c ) ) + c
with c = max( a, b )
The source code of the improved censReg package is available on
R-Forge [1]; R packages will be available on R-Forge [2] probably
within one day.
[1] https://r-forge.r-project.org/scm/?group_id=256
[2] https://r-forge.r-project.org/R/?group_id=256
Unfortunately, the calculation of the gradients is still not robust
but I expect that I can solve this problem in a similar way as I used
to solve the problem with the likelihood function itself. I will
continue working on this.
> I have tried to experiment with size of sample and I get really bad picture.
> I can't get it work even if sample is ~ 1000 obs. And it is way less than I
> would like to see working, taking into account my full sample size ~ 540 000
> obs.
I hope that you have a very fast computer -- or a lot of time for
waiting many days or even a few weeks.
/Arne
--
Arne Henningsen
http://www.arne-henningsen.name
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