When using the PLM package (version 1.2-8), I encounter the probem that
calling the FGLS estimator evokes strange behavior, when choosing the
"random" effects model. After calling the PGGLS function to estimate FGLS,
PLM gives me a warning, stating that the "random" model has been replaced
with the "pooling" model. I would, however, really like to estimate the
random model instead. For me, the problem is reproducable using one of the
examples from the PLM Jstatsoft article "Panel Data Econometrics in R: The
plm package" (pp.19-20):
data("EmplUK", package="plm")
zz <- pggls(log(emp)~log(wage)+log(capital),data=EmplUK, model="random")
summary(zz)
Which for me results in the following warning:
WARNING: Warning: 'random' argument to pggls() has been renamed as 'pooling'
It then proceeds with estimating a pooled model. I've checked if PLM by any
chance does produce the right coefficient estimates, but the numbers do not
add up when compared to the estimates in the article. This problem perists
for any dataset I use. Any thoughts?
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