English

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 n(ρn1)γn(\rho_n-1)\to\gamma for some fixed γ\gamma as nn\to\infty, which is parallel to the results of ordinary least squares estimators developed by Andrews and Guggenberger (2008) in the case γ=0\gamma=0 or Chan and Wei (1987) and Phillips (1987) in the case γ0\gamma\ne 0. 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

R2 v1 2026-06-28T08:04:24.993Z