Least absolute deviation estimation for AR(1) processes with roots close to unity
Statistics Theory
2023-01-09 v1 Statistics Theory
Abstract
We establish the asymptotic theory of least absolute deviation estimators for AR(1) processes with autoregressive parameter satisfying for some fixed as , which is parallel to the results of ordinary least squares estimators developed by Andrews and Guggenberger (2008) in the case or Chan and Wei (1987) and Phillips (1987) in the case . Simulation experiments are conducted to confirm the theoretical results and to demonstrate the robustness of the least absolute deviation estimation.
Cite
@article{arxiv.2301.02291,
title = {Least absolute deviation estimation for AR(1) processes with roots close to unity},
author = {Nannan Ma and Hailin Sang and Guangyu Yang},
journal= {arXiv preprint arXiv:2301.02291},
year = {2023}
}
Comments
accepted by Annals of the Institute of Statistical Mathematics, 29 pages, 8 figures, 4 tables