Hi,
I am trying to manipulate a gls regression model output to adjust for use of
two-stage least squares. Basically, I want to estimate a model, then feed in
a new set of residuals, then re-calculate all of the model output (i.e. the
standard errors of the estimators, etc.). I have found some docu
I am using the gls function to fit a two-stage least squares model with
first order autoregressive error terms. Since there is no automated
adjustment for the use of two-stage least squares in this package, I am
trying to manually replicate standard errors of the coefficient estimates in
order to a
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