Hello,
although I searched for a solution related to my problem I didn´t find one,
yet. My skills in R aren´t very large, however.
For my Diploma thesis I need to run a GMM estimation on a dynamic panel
model using the "pgmm" - function in the plm-Package.
The model I want to estimate is: "Y(t) = Y(t-1) + X1(t) + X2(t) + X3(t)" .
There are no "normal" instruments in this model. There just should be the
"gmm-instruments" I need for the model.
In order to estimate it, I tried the following code:
>
> library(plm)
>
> test <- pgmm(Y ~ lag(Y, 1) + X1 + X2 + X3 | lag(Y, 1), data=Model,
> effect="individual", model="onestep")
>
>
I tried "Model" as "Modelp <- pdata.frame(..." and as "Model <-
read.table(..." but in both cases there´s an error-massage:
Error in solve.default(Reduce("+", A2)) :
System ist für den Rechner singulär: reziproke Konditionszahl =
4.08048e-22
Error in solve.default(Reduce("+", A2)) :
System is singulary for the computer: reciprocal number of conditions =
4.08048e-22
I really can´t help myself since the standard plm-estimations "within" or
"first difference" are working well.
I hope you understood what I´m trying to do and my description is adequate.
Thank you very much!!!!!
Kind regards.
bStudent
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