Abstract
The boostrap methodology may be used for estimating standard errors of the estimated parameters in a time series model. The idea is to approximate the theoretical error distribution by the residual distribution. The main objective of this article is to demonstrate the use of the bootstrap to attach standard errors to coefficient estimates in a second-order auto-regressive model fitted by least squares estimation. A comparison of the conventional and bootstrap methodology is made.