A bootstrap bias-correction method is applied to statistical inference in the regression model with autocorrelated errors. It is found that this method substantially reduces small-sample size distortions relative to alternative methods proposed in the literature.

A bootstrap bias-correction method is applied to statistical inference in the regression model with autocorrelated errors. It is found that this method substantially reduces small-sample size distortions relative to alternative methods proposed in the literature.