Least absolute deviation estimation for AR(1) processes with roots close to unity
Abstract
We establish the asymptotic theory of least absolute deviation estimators for AR(1) processes with autoregressive parameter satisfying $n(\rho_n-1)\to\gamma$ for some fixed $\gamma$ as $n\to\infty$, which is parallel to the results of ordinary least squares estimators developed by Andrews and Guggenberger (2008) in the case $\gamma=0$ or Chan and Wei (1987) and Phillips (1987) in the case $\gamma\ne 0$. Simulation experiments are conducted to confirm the theoretical results and to demonstrate the robustness of the least absolute deviation estimation.
- Publication:
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arXiv e-prints
- Pub Date:
- January 2023
- DOI:
- arXiv:
- arXiv:2301.02291
- Bibcode:
- 2023arXiv230102291M
- Keywords:
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- Mathematics - Statistics Theory;
- 62M10;
- 62F12
- E-Print:
- accepted by Annals of the Institute of Statistical Mathematics, 29 pages, 8 figures, 4 tables