Abstract
We consider a linear model with autoregressive error structure. It is shown that with probability one the distribution of the two-stage GLS estimator admits a bootstrap approximation. In a simulation study it is demonstrated that the bootstrap outperforms the normal approximation if the innovation variables are heavily correlated.
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