S‐Estimation in the Linear Regression Model with Long‐memory Error Terms Under Trend

Philipp Sibbertsen

Journal of Time Series Analysis, 2001, vol. 22, issue 3, 353-363

Abstract: The asymptotic distribution of S‐estimators in the linear regression model with long‐memory error terms is obtained under mild regularity conditions to the regressors which are sufficiently weak to cover, for example, polynomial trends and i.i.d. carriers. It turns out that S‐estimators are asymptotically normal in the case of deterministic regressors with a variance–covariance structure similar to the structure in the i.i.d. case. Also, the rate of convergence for S‐estimators is the same as for the least‐squares estimator (LSE) and the best linear unbiased estimator (BLUE).

Date: 2001
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