Backward mean transformation in unit root panel data models

The effectiveness of an orthogonal to backward mean transformation is investigated in the context a non-stationary panel data model. It shown that corresponding estimator as efficient Transformed Maximum Likelihood when autoregressive parameter equal unity. Furthermore, recently introduced bias-corrected version almost Pooled Least Squares estimator.